From 94fdc5275278eb4fbebf980848f4be35432f16bb Mon Sep 17 00:00:00 2001 From: "Documenter.jl" Date: Tue, 17 Dec 2024 17:53:36 +0000 Subject: [PATCH] build based on b98f33f --- dev/.documenter-siteinfo.json | 2 +- dev/api/index.html | 28 +++--- .../explanations/positions/index.html | 2 +- dev/generated/how_to/hide_deco/index.html | 2 +- .../{6708ffc1.png => bb3b3d7e.png} | Bin 1642558 -> 1645106 bytes .../how_to/mult_vis_in_fig/index.html | 4 +- .../how_to/position2color/index.html | 2 +- .../intro/code_principles/index.html | 2 +- dev/generated/intro/installation/index.html | 2 +- dev/generated/intro/plot_types/index.html | 2 +- dev/generated/intro/speed/index.html | 80 +++++++++--------- dev/generated/tutorials/butterfly/index.html | 2 +- .../tutorials/channel_image/index.html | 2 +- dev/generated/tutorials/circ_topo/index.html | 2 +- .../tutorials/designmatrix/index.html | 2 +- dev/generated/tutorials/erp/index.html | 2 +- dev/generated/tutorials/erp_grid/index.html | 2 +- dev/generated/tutorials/erpimage/index.html | 2 +- .../parallelcoordinates/274172bb.png | Bin 0 -> 844638 bytes .../parallelcoordinates/367da3d4.png | Bin 585611 -> 0 bytes .../parallelcoordinates/55ffa8e9.png | Bin 948743 -> 0 bytes .../parallelcoordinates/5a685dab.png | Bin 0 -> 742911 bytes .../parallelcoordinates/695a2de8.png | Bin 744724 -> 0 bytes .../parallelcoordinates/82e7df95.png | Bin 0 -> 951447 bytes .../parallelcoordinates/8b27a38c.png | Bin 835774 -> 0 bytes .../parallelcoordinates/97ee4009.png | Bin 732449 -> 0 bytes .../parallelcoordinates/b23cdb1e.png | Bin 0 -> 587896 bytes .../parallelcoordinates/cecc17fd.png | Bin 330676 -> 0 bytes .../parallelcoordinates/cf3e685a.png | Bin 0 -> 329198 bytes .../parallelcoordinates/d08706ea.png | Bin 0 -> 718760 bytes .../tutorials/parallelcoordinates/index.html | 14 +-- dev/generated/tutorials/splines/index.html | 2 +- dev/generated/tutorials/topoplot/index.html | 2 +- .../tutorials/topoplotseries/index.html | 2 +- dev/helper/index.html | 8 +- dev/index.html | 2 +- 36 files changed, 85 insertions(+), 85 deletions(-) rename dev/generated/how_to/mult_vis_in_fig/{6708ffc1.png => bb3b3d7e.png} (59%) create mode 100644 dev/generated/tutorials/parallelcoordinates/274172bb.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/367da3d4.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/55ffa8e9.png create mode 100644 dev/generated/tutorials/parallelcoordinates/5a685dab.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/695a2de8.png create mode 100644 dev/generated/tutorials/parallelcoordinates/82e7df95.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/8b27a38c.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/97ee4009.png create mode 100644 dev/generated/tutorials/parallelcoordinates/b23cdb1e.png delete mode 100644 dev/generated/tutorials/parallelcoordinates/cecc17fd.png create mode 100644 dev/generated/tutorials/parallelcoordinates/cf3e685a.png create mode 100644 dev/generated/tutorials/parallelcoordinates/d08706ea.png diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 1ccce61a..ea7f0a91 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.11.2","generation_timestamp":"2024-12-17T13:07:35","documenter_version":"1.8.0"}} \ No newline at end of file +{"documenter":{"julia_version":"1.11.2","generation_timestamp":"2024-12-17T17:51:23","documenter_version":"1.8.0"}} \ No newline at end of file diff --git a/dev/api/index.html b/dev/api/index.html index 63fd61c0..3ad33586 100644 --- a/dev/api/index.html +++ b/dev/api/index.html @@ -1,7 +1,7 @@ -API / DocStrings · UnfoldMakie.jl
UnfoldMakie.config_kwargs!Method
config_kwargs!(cfg::PlotConfig; kwargs...)

Takes NamedTuple of Key => NamedTuple as kwargs and merges the fields with the defaults.

source
UnfoldMakie.data_binningMethod
data_binning(df; col_y = :erp, fun = mean, grouping = [])

Group DataFrame according to topoplot coordinates and apply aggregation function.

Arguments:

  • df::AbstractTable
    Requires columns :cont_cuts, col_y (default :erp), and all columns in grouping (col_coord, row_coord, label);
  • col_y = :erp
    The column to combine over (with fun);
  • fun = mean()
    Function to combine.
  • grouping = []
    Vector of symbols or strings, columns to group by the data before aggregation. Values of nothing are ignored.

Return Value: DataFrame.

source
UnfoldMakie.eeg_array_to_dataframeMethod
eeg_array_to_dataframe(data::AbstractMatrix, label_aliases::AbstractVector)
+API / DocStrings · UnfoldMakie.jl
UnfoldMakie.config_kwargs!Method
config_kwargs!(cfg::PlotConfig; kwargs...)

Takes NamedTuple of Key => NamedTuple as kwargs and merges the fields with the defaults.

source
UnfoldMakie.data_binningMethod
data_binning(df; col_y = :erp, fun = mean, grouping = [])

Group DataFrame according to topoplot coordinates and apply aggregation function.

Arguments:

  • df::AbstractTable
    Requires columns :cont_cuts, col_y (default :erp), and all columns in grouping (col_coord, row_coord, label);
  • col_y = :erp
    The column to combine over (with fun);
  • fun = mean()
    Function to combine.
  • grouping = []
    Vector of symbols or strings, columns to group by the data before aggregation. Values of nothing are ignored.

Return Value: DataFrame.

source
UnfoldMakie.eeg_array_to_dataframeMethod
eeg_array_to_dataframe(data::AbstractMatrix, label_aliases::AbstractVector)
 eeg_array_to_dataframe(data::AbstractVector, label_aliases::AbstractVector)
-eeg_array_to_dataframe(data::Union{AbstractMatrix, AbstractVector{<:Number}})

Helper function converting an array (Matrix or Vector) to a tidy DataFrame with columns :estimate, :time and :label (with aliases :color, :group, :channel).

Format of Arrays:
- times x condition for plot_erp.
- channels x time for plot_butterfly, plot_topoplotseries.
- channels for plot_topoplot.
Return Value: DataFrame.

source
UnfoldMakie.eeg_topoplot_seriesMethod
eeg_topoplot_series(data::DataFrame,
+eeg_array_to_dataframe(data::Union{AbstractMatrix, AbstractVector{<:Number}})

Helper function converting an array (Matrix or Vector) to a tidy DataFrame with columns :estimate, :time and :label (with aliases :color, :group, :channel).

Format of Arrays:
- times x condition for plot_erp.
- channels x time for plot_butterfly, plot_topoplotseries.
- channels for plot_topoplot.
Return Value: DataFrame.

source
UnfoldMakie.eeg_topoplot_seriesMethod
eeg_topoplot_series(data::DataFrame,
     f,
     data::DataFrame;
     bin_width = nothing,
@@ -18,20 +18,20 @@
     ylim_topo,
     topo_attributes...,
 )
-eeg_topoplot_series!(fig, data::DataFrame; kwargs..)

Plot a series of topoplots. The function takes the combinefun = mean over the :time column of data.

  • f
    Figure object.
  • data::DataFrame
    Needs the columns :time and y(=:erp), and label(=:label).
    If data is a matrix, it is automatically cast to a dataframe, time bins are in samples, labels are string.(1:size(data,1)).
  • bin_width::Real = nothing
    Number specifing the width of bin of continuous x-value in its units.
  • bin_num::Real = nothing
    Number of topoplots.
    Either bin_width, or bin_num should be specified. Error if they are both specified
    If mapping.col or mapping.row are categorical bin_width and bin_num stay as nothing.
  • col, row = :time
    Specify the field to be divided into columns and rows. The default is col = :time to split by the time field and row = nothing.
    Useful to split by a condition, e.g. ...(..., col = :time, row = :condition) would result in multiple (as many as different values in df.condition) rows of topoplot series.
  • row_labels, col_labels = false
    Indicate whether there should be labels in the plots in the first column to indicate the row value and in the last row to indicate the time (typically timerange).
  • combinefun::Function = mean
    Specify how the samples are summarised.
    Example functions: mean, median, std.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (aspect = 1, title = "", xgridvisible = false, xminorgridvisible = false, xminorticksvisible = false, xticksvisible = false, xticklabelsvisible = false, xlabelvisible = true, ygridvisible = false, yminorgridvisible = false, yminorticksvisible = false, yticksvisible = false, yticklabelsvisible = false, ylabelvisible = false, leftspinevisible = false, rightspinevisible = false, topspinevisible = false, bottomspinevisible = false, xpanlock = true, ypanlock = true, xzoomlock = true, yzoomlock = true, xrectzoom = false, yrectzoom = false)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

).

Return Value: Tuple{Figure, Vector{Any}}.

source
UnfoldMakie.plot_butterflyMethod
plot_butterfly(plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)
+eeg_topoplot_series!(fig, data::DataFrame; kwargs..)

Plot a series of topoplots. The function takes the combinefun = mean over the :time column of data.

  • f
    Figure object.
  • data::DataFrame
    Needs the columns :time and y(=:erp), and label(=:label).
    If data is a matrix, it is automatically cast to a dataframe, time bins are in samples, labels are string.(1:size(data,1)).
  • bin_width::Real = nothing
    Number specifing the width of bin of continuous x-value in its units.
  • bin_num::Real = nothing
    Number of topoplots.
    Either bin_width, or bin_num should be specified. Error if they are both specified
    If mapping.col or mapping.row are categorical bin_width and bin_num stay as nothing.
  • col, row = :time
    Specify the field to be divided into columns and rows. The default is col = :time to split by the time field and row = nothing.
    Useful to split by a condition, e.g. ...(..., col = :time, row = :condition) would result in multiple (as many as different values in df.condition) rows of topoplot series.
  • row_labels, col_labels = false
    Indicate whether there should be labels in the plots in the first column to indicate the row value and in the last row to indicate the time (typically timerange).
  • combinefun::Function = mean
    Specify how the samples are summarised.
    Example functions: mean, median, std.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (aspect = 1, title = "", xgridvisible = false, xminorgridvisible = false, xminorticksvisible = false, xticksvisible = false, xticklabelsvisible = false, xlabelvisible = true, ygridvisible = false, yminorgridvisible = false, yminorticksvisible = false, yticksvisible = false, yticklabelsvisible = false, ylabelvisible = false, leftspinevisible = false, rightspinevisible = false, topspinevisible = false, bottomspinevisible = false, xpanlock = true, ypanlock = true, xzoomlock = true, yzoomlock = true, xrectzoom = false, yrectzoom = false)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

).

Return Value: Tuple{Figure, Vector{Any}}.

source
UnfoldMakie.plot_butterflyMethod
plot_butterfly(plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)
 plot_butterfly(times::Vector, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)
-plot_butterfly!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)

Plot a Butterfly plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_butterfly(df; visual = (; colormap = :romaO)).

Keyword arguments (kwargs)

  • positions::Array = []
    Adds a topoplot as an inset legend to the provided channel positions. Must be the same length as plot_data. To change the colors of the channel lines use the topoposition_to_color function.
  • topolegend::Bool = true
    Show an inlay topoplot with corresponding electrodes. Requires positions.
  • topopositions_to_color::x -> pos_to_color_RomaO(x)
    Change the line colors.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(0.35f0), height = Relative(0.35f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (head = (color = :black, linewidth = 1), label_scatter = (markersize = 10, strokewidth = 0.5), interpolation = TopoPlots.NullInterpolator())
  • mapping = (;)
    For highlighting specific channels.
    Example: mapping = (; color = :highlight)), where :highlight is variable with appopriate mapping.

Return Value: Figure displaying Butterfly plot.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:channel, :channels, :trial, :trials), positions = (:pos, :positions, :position, :topo_positions, :x, nothing), labels = (:labels, :label, :topoLabels, :sensor, nothing), group = (:channel,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = nothing, color = nothing) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

see also plot_erp

source
UnfoldMakie.plot_channelimageMethod
plot_channelimage!(f::Union{GridPosition, GridLayout, Figure}, data::Union{DataFrame,AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)
-plot_channelimage(data::Union{DataFrame, AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)

Plot a Channel image

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    DataFrame or Matrix with data.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float32}}
    A vector with EEG layout coordinates.
  • ch_names::Vector{String}
    Vector with channel names.
  • times::Vector = range(-0.3, 1.2, length = size(data, 2))
    Time range on x-axis.
  • sorting_variables::Vector = [:y, :x]
    Method to sort channels on y-axis.
    For instance, you can sort by channel positions on the scalp (x, y) or channel name.
  • sorting_reverse::Vector = [:false, :false]
    Should sorting variables be reversed or not?

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Channels", yticklabelsize = 14) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Channel image.

source
UnfoldMakie.plot_circular_topoplotsMethod
plot_circular_topoplots!(f, data::DataFrame; kwargs...)
-plot_circular_topoplots(data::DataFrame; kwargs...)

Plot a circular EEG topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::DataFrame
    DataFrame with data keys (columns :y, :yhat, :estimate), and :position (columns :pos, :position, :positions).

Keyword arguments (kwargs)

  • predictor::Vector{Any} = :predictor
    The circular predictor value, defines position of topoplot across the circle. Mapped around predictor_bounds.
  • predictor_bounds::Vector{Int64} = [0, 360]
    The bounds of the predictor. Relevant for the axis labels.
  • positions::Vector{Point{2, Float32}} = nothing
    Positions of the plot_topoplot.
  • center_label::String = ""
    The text in the center of the cricle.
  • plot_radius::String = 0.8
    The radius of the circular topoplot series plot calucalted by formula: radius = (minwidth * plot_radius) / 2.
  • labels::Vector{String} = nothing
    Labels for the plot_topoplots.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect(), label = "") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colormap = Makie.Reverse{Symbol}(:RdBu)) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Circular topoplot series.

source
UnfoldMakie.plot_designmatrixMethod
plot_designmatrix!(f::Union{GridPosition, GridLayout, Figure}, data::Unfold.DesignMatrix; kwargs...)
-plot_designmatrix(data::Unfold.DesignMatrix; kwargs...)

Plot a designmatrix.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Unfold.DesignMatrix
    Data for the plot visualization.

Keyword arguments (kwargs)

  • standardize_data::Bool = true
    Indicates whether the data is standardized by pointwise division of the data with its sampled standard deviation.
  • sort_data::Bool = true
    Indicates whether the data is sorted. It uses sortslices() of Base Julia.
  • xticks::Num = nothing
    Returns the number of labels on the x axis.
    • xticks = 0: no labels are placed.
    • xticks = 1: first possible label is placed.
    • xticks = 2: first and last possible labels are placed.
    • 2 < xticks < number of labels: equally distribute the labels.
    • xticksnumber of labels: all labels are placed.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Conditions", ylabel = "Trials", xticklabelrotation = 0.39) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Design matrix.

source
UnfoldMakie.plot_erpMethod
plot_erp!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)
-plot_erp(times, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)

Plot an ERP plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}, Vector{Float32}}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_erp(df; mapping = (; color = :coefname, col = :conditionA)).

Keyword arguments (kwargs)

  • stderror::Bool = false
    Add an error ribbon, with lower and upper limits based on the :stderror column.
  • significance::DataFrame = nothing
    Show significant time periods as horizontal bars.
    Example: DataFrame(from = [0.1, 0.3], to = [0.5, 0.7], coefname = ["(Intercept)", "condition: face"]).
    If coefname is not specified, the significance lines will be black.
  • layout.use_colorbar = true
    Enable or disable colorbar.
  • layout.use_legend = true
    Enable or disable legend.
  • layout.show_legend = true
    Enable or disable legend and colorbar.
  • mapping = (;)
    Specify color, col (column), linestyle, group.
    F.i. mapping = (; col = :group) will make a column for each group.
  • visual = (; color = Makie.wong_colors, colormap = :roma)
    For categorical color use visual.color, for continuous - visual.colormap.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:grid => 1, :label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:color, :coefname, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma, color = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)]) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

Return Value: Figure displaying the ERP plot.

source
UnfoldMakie.plot_erpgridMethod
plot_erpgrid(data::Union{Matrix{<:Real}, DataFrame}, positions::Vector; kwargs...)
-plot_erpgrid!(f::Union{GridPosition, GridLayout, Figure}, data::Union{Matrix{<:Real}, DataFrame}, positions::Vector, ch_names::Vector{String}; kwargs...)

Plot an ERP image.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Matrix{<:Real}, DataFrame}
    Data for the plot visualization.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float}}
    Electrode positions.
  • ch_names::Vector{String}
    Vector with channel names.
  • hlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the hlines on all subaxes.
    To see all options just type ?hlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5)
  • vlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the vlines on all subaxes.
    To see all options just type ?vlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5, ymin = 0.2, ymax = 0.8)
  • lines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the lines on all subaxes.
    To see all options just type ?lines in REPL.
    Defaults: (color = :deepskyblue3,)
  • labels_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the labels on all subaxes.
    To see all options just type ?text in REPL.
    Defaults: (color = :gray, fontsize = 12, align = (:left, :top), space = :relative)

Keyword arguments (kwargs)

  • drawlabels::Bool = false
    Draw channels labels over each waveform.
  • times::Vector = 1:size(data, 2)
    Vector of size().

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", xlim = [-0.04, 1.0], ylim = [-0.04, 1.0], fontsize = 12) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying ERP grid.

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UnfoldMakie.plot_erpimageMethod
plot_erpimage!(f::Union{GridPosition, GridLayout, Figure}, data::AbstractMatrix{Float64}; kwargs...)
+plot_butterfly!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)

Plot a Butterfly plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_butterfly(df; visual = (; colormap = :romaO)).

Keyword arguments (kwargs)

  • positions::Array = []
    Adds a topoplot as an inset legend to the provided channel positions. Must be the same length as plot_data. To change the colors of the channel lines use the topoposition_to_color function.
  • topolegend::Bool = true
    Show an inlay topoplot with corresponding electrodes. Requires positions.
  • topopositions_to_color::x -> pos_to_color_RomaO(x)
    Change the line colors.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(0.35f0), height = Relative(0.35f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (head = (color = :black, linewidth = 1), label_scatter = (markersize = 10, strokewidth = 0.5), interpolation = TopoPlots.NullInterpolator())
  • mapping = (;)
    For highlighting specific channels.
    Example: mapping = (; color = :highlight)), where :highlight is variable with appopriate mapping.

Return Value: Figure displaying Butterfly plot.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:channel, :channels, :trial, :trials), positions = (:pos, :positions, :position, :topo_positions, :x, nothing), labels = (:labels, :label, :topoLabels, :sensor, nothing), group = (:channel,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = nothing, color = nothing) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

see also plot_erp

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UnfoldMakie.plot_channelimageMethod
plot_channelimage!(f::Union{GridPosition, GridLayout, Figure}, data::Union{DataFrame,AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)
+plot_channelimage(data::Union{DataFrame, AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)

Plot a Channel image

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    DataFrame or Matrix with data.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float32}}
    A vector with EEG layout coordinates.
  • ch_names::Vector{String}
    Vector with channel names.
  • times::Vector = range(-0.3, 1.2, length = size(data, 2))
    Time range on x-axis.
  • sorting_variables::Vector = [:y, :x]
    Method to sort channels on y-axis.
    For instance, you can sort by channel positions on the scalp (x, y) or channel name.
  • sorting_reverse::Vector = [:false, :false]
    Should sorting variables be reversed or not?

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Channels", yticklabelsize = 14) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Channel image.

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UnfoldMakie.plot_circular_topoplotsMethod
plot_circular_topoplots!(f, data::DataFrame; kwargs...)
+plot_circular_topoplots(data::DataFrame; kwargs...)

Plot a circular EEG topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::DataFrame
    DataFrame with data keys (columns :y, :yhat, :estimate), and :position (columns :pos, :position, :positions).

Keyword arguments (kwargs)

  • predictor::Vector{Any} = :predictor
    The circular predictor value, defines position of topoplot across the circle. Mapped around predictor_bounds.
  • predictor_bounds::Vector{Int64} = [0, 360]
    The bounds of the predictor. Relevant for the axis labels.
  • positions::Vector{Point{2, Float32}} = nothing
    Positions of the plot_topoplot.
  • center_label::String = ""
    The text in the center of the cricle.
  • plot_radius::String = 0.8
    The radius of the circular topoplot series plot calucalted by formula: radius = (minwidth * plot_radius) / 2.
  • labels::Vector{String} = nothing
    Labels for the plot_topoplots.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect(), label = "") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colormap = Makie.Reverse{Symbol}(:RdBu)) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Circular topoplot series.

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UnfoldMakie.plot_designmatrixMethod
plot_designmatrix!(f::Union{GridPosition, GridLayout, Figure}, data::Unfold.DesignMatrix; kwargs...)
+plot_designmatrix(data::Unfold.DesignMatrix; kwargs...)

Plot a designmatrix.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Unfold.DesignMatrix
    Data for the plot visualization.

Keyword arguments (kwargs)

  • standardize_data::Bool = true
    Indicates whether the data is standardized by pointwise division of the data with its sampled standard deviation.
  • sort_data::Bool = true
    Indicates whether the data is sorted. It uses sortslices() of Base Julia.
  • xticks::Num = nothing
    Returns the number of labels on the x axis.
    • xticks = 0: no labels are placed.
    • xticks = 1: first possible label is placed.
    • xticks = 2: first and last possible labels are placed.
    • 2 < xticks < number of labels: equally distribute the labels.
    • xticksnumber of labels: all labels are placed.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Conditions", ylabel = "Trials", xticklabelrotation = 0.39) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Design matrix.

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UnfoldMakie.plot_erpMethod
plot_erp!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)
+plot_erp(times, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)

Plot an ERP plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}, Vector{Float32}}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_erp(df; mapping = (; color = :coefname, col = :conditionA)).

Keyword arguments (kwargs)

  • stderror::Bool = false
    Add an error ribbon, with lower and upper limits based on the :stderror column.
  • significance::DataFrame = nothing
    Show significant time periods as horizontal bars.
    Example: DataFrame(from = [0.1, 0.3], to = [0.5, 0.7], coefname = ["(Intercept)", "condition: face"]).
    If coefname is not specified, the significance lines will be black.
  • layout.use_colorbar = true
    Enable or disable colorbar.
  • layout.use_legend = true
    Enable or disable legend.
  • layout.show_legend = true
    Enable or disable legend and colorbar.
  • mapping = (;)
    Specify color, col (column), linestyle, group.
    F.i. mapping = (; col = :group) will make a column for each group.
  • visual = (; color = Makie.wong_colors, colormap = :roma)
    For categorical color use visual.color, for continuous - visual.colormap.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:grid => 1, :label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:color, :coefname, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma, color = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)]) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

Return Value: Figure displaying the ERP plot.

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UnfoldMakie.plot_erpgridMethod
plot_erpgrid(data::Union{Matrix{<:Real}, DataFrame}, positions::Vector; kwargs...)
+plot_erpgrid!(f::Union{GridPosition, GridLayout, Figure}, data::Union{Matrix{<:Real}, DataFrame}, positions::Vector, ch_names::Vector{String}; kwargs...)

Plot an ERP image.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Matrix{<:Real}, DataFrame}
    Data for the plot visualization.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float}}
    Electrode positions.
  • ch_names::Vector{String}
    Vector with channel names.
  • hlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the hlines on all subaxes.
    To see all options just type ?hlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5)
  • vlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the vlines on all subaxes.
    To see all options just type ?vlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5, ymin = 0.2, ymax = 0.8)
  • lines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the lines on all subaxes.
    To see all options just type ?lines in REPL.
    Defaults: (color = :deepskyblue3,)
  • labels_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the labels on all subaxes.
    To see all options just type ?text in REPL.
    Defaults: (color = :gray, fontsize = 12, align = (:left, :top), space = :relative)

Keyword arguments (kwargs)

  • drawlabels::Bool = false
    Draw channels labels over each waveform.
  • times::Vector = 1:size(data, 2)
    Vector of size().

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", xlim = [-0.04, 1.0], ylim = [-0.04, 1.0], fontsize = 12) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying ERP grid.

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UnfoldMakie.plot_erpimageMethod
plot_erpimage!(f::Union{GridPosition, GridLayout, Figure}, data::AbstractMatrix{Float64}; kwargs...)
 plot_erpimage!(f::Union{GridPosition, GridLayout, Figure}, data::Observable{<:AbstractMatrix}; kwargs...)
 plot_erpimage!(f::Union{GridPosition, GridLayout, Figure}, times::Observable{<:AbstractVector}, data::Observable{<:AbstractMatrix{<:Real}}; kwargs...)
 
 plot_erpimage(times::AbstractVector, data::Union{<:Observable{Matrix{<:Real}}, Matrix{<:Real}}; kwargs...)
-plot_erpimage(data::Matrix{Float64}; kwargs...)

Plot an ERP image.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, Vector{Float32}}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • erpblur::Number = 10
    Number indicating how much blur is applied to the image.
    Gaussian blur of the ImageFiltering module is used.
    Non-Positive values deactivate the blur.
  • sortvalues::Vector{Int64} = false
    Parameter over which plot will be sorted. Using sortperm() of Base Julia.
    sortperm() computes a permutation of the array's indices that puts the array in sorted order.
  • sortindex::Vector{Int64} = nothing
    Sorting over index values.
  • meanplot::bool = false
    Add a line plot below the ERP image, showing the mean of the data.
  • show_sortval::bool = false
    Add a plot on the right from ERP image, showing the distribution of the sorting data.
  • sortval_xlabel::String = "Sorting variable"
    If show_sortval = true controls xlabel.
  • axis.ylabel::String = "Trials"
    If sortvalues = true the default text will change to "Sorted trials", but it could be changed to any values specified manually.
  • meanplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (height = 100, xlabel = "Time", xlabelpadding = 0, xautolimitmargin = (0, 0))
  • sortplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabelvisible = true, yticklabelsvisible = false)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Trials") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the ERP image.

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UnfoldMakie.plot_parallelcoordinatesMethod
plot_parallelcoordinates(data::Union{DataFrame, AbstractMatrix}; kwargs...)
-plot_parallelcoordinates!(f::Union{GridPosition, GridLayout, Figure}, data::Union{DataFrame, AbstractMatrix}; kwargs)

Plot a PCP (parallel coordinates plot).
Dimensions: conditions, channels, time, trials.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure} Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • normalize::Symbol = nothing
    If :minmax, normalize each axis to their respective min-max range.
  • ax_labels::Vector{String} = nothing
    Specify axis labels.
    Should be a vector of labels with length equal to the number of unique mapping.x values.
    Example: ax_labels = ["Fz", "Cz", "O1", "O2"].
  • ax_ticklabels::Symbol = :outmost
    Specify tick labels on axis.
    • :all - show all labels on all axes.
    • :left - show all labels on the left axis, but only min and max on others.
    • :outmost - show labels on min and max of all other axes.
    • :none - remove all labels.
  • bend::Bool = false
    Change straight lines between the axes to curved ("bent") lines using spline interpolation.
    Note: While this makes the plot look cool, it is not generally recommended to bent the lines, as interpretation suffers, and the resulting visualizations can be potentially missleading.
  • visual.alpha::Number = 0.5
    Change of line transparency.

Defining the axes

  • mapping.x = :channel, mapping.y = :estimate.
    Overwrite what should be on the x and the y axes.
  • mapping.color = :colorcolumn
    Split conditions by color. The default color is :black.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Channels", ylabel = "Time", title = "") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = :channel, y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)], color = :black, alpha = 0.3) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, title = "Conditions", merge = true, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Parallel coordinates plot.

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UnfoldMakie.plot_splinesMethod
plot_splines(m::UnfoldModel; kwargs...)
-plot_splines!(f::Union{GridPosition, GridLayout, Figure}, m::UnfoldModel; kwargs...)

Visualization of spline terms in an UnfoldModel. Two subplots are generated for each spline term:
1) the basis function of the spline; 2) the density of the underlying covariate.
Multiple spline terms are arranged across columns.
Dashed lines indicate spline knots.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure} Figure, GridLayout, or GridPosition to draw the plot.
  • m::UnfoldModel
    UnfoldModel with splines.
  • spline_axis::NamedTuple = (;)
    Here you can flexibly change configurations of spline subplots.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabel = "Spline value", xlabelvisible = false, xticklabelsvisible = false, ylabelvisible = true)
  • density_axis::NamedTuple = (;)
    Here you can flexibly change configurations of density subplots.
    To see all options just type ?Axis in REPL.
    Defaults: (xautolimitmargin = (0, 0), ylabel = "Density value")
  • superlabel_config::NamedTuple = (;)
    Here you can flexibly change configurations of the Label on the top of the plot.
    To see all options just type ?Label in REPL.
    Defaults: (fontsize = 20, padding = (0, 0, 40, 0))

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = NamedTuple() - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :viridis,) - use kwargs... of Makie.series

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, title = "Splines", framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure with splines and their density for basis functions.

source
UnfoldMakie.plot_topoplotMethod
plot_topoplot!(f::Union{GridPosition, GridLayout, Figure}, data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}; positions::Vector, labels = nothing, kwargs...)

using Interpolations: positions plot_topoplot(data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}; position::Vector, labels = nothing, kwargs...)

Plot a topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}
    Data for the plot visualization.
  • positions::Vector{Point{2, Float32}}
    Positions used if data is not a DataFrame. Positions are generated from labels if positions = nothing.
  • labels::Vector{String} = nothing
    Labels used if data is not a DataFrame.
  • high_chan = nothing - channnel(s) to highlight by color.
  • high_color = :darkgreen - color for highlighting.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(1.0f0), height = Relative(1.0f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect()) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Topoplot.

source
UnfoldMakie.plot_topoplotseriesMethod
plot_topoplotseries(f::Union{GridPosition, GridLayout, Figure}, data::Union{<:Observable{<:DataFrame},DataFrame}; kwargs...)
-plot_topoplotseries!(data::Union{<:Observable{<:DataFrame},DataFrame}; kwargs...)

Multiple miniature topoplots in regular distances.

Arguments

  • f::Union{GridPosition, GridLayout, GridLayoutBase.GridSubposition, Figure}
    Figure, GridLayout, GridPosition, or GridLayoutBase.GridSubposition to draw the plot.
  • data::Union{<:Observable{<:DataFrame},DataFrame}
    DataFrame with data or Observable DataFrame.
    Requires a time column by default, but can be overridden by specifying mapping=(; x=:my_column) with any continuous or categorical column.

Keyword arguments (kwargs)

  • bin_width::Real = nothing
    Number specifing the width of bin of continuous x-value in its units.
  • bin_num::Real = nothing
    Number of topoplots.
    Either bin_width, or bin_num should be specified. Error if they are both specified
    If mapping.col or mapping.row are categorical bin_width and bin_num stay as nothing.
  • combinefun::Function = mean
    Specify how the samples within bin_width are summarised.
    Example functions: mean, median, std.
  • rasterize_heatmaps::Bool = true
    Force rasterization of the plot heatmap when saving in svg format.
    Except for the interpolated heatmap, all lines/points are vectors.
    This is typically what you want, otherwise you get ~128x128 vectors per topoplot, which makes everything very slow.
  • col_labels::Bool, row_labels::Bool = true
    Shows column and row labels for categorical values.
  • positions::Vector{Point{2, Float32}} = nothing
    Specify channel positions. Requires the list of x and y positions for all unique electrode.
  • labels::Vector{String} = nothing
    Show labels for each electrode.
  • interactive_scatter = nothing
    Enable interactive mode.
    If you create obs_tuple = Observable((0, 0, 0)) and pass it into interactive_scatter you can update the observable tuple with the indices of the clicked topoplot markers.
    (0, 0, 0) corresponds to the (row of topoplot layout, column of topoplot layout, electrode).
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of topoplots.
    To see all options just type ?Axis in REPL.
  • mapping = (; col = :time, row = nothing, layout = nothing)
    mapping.col - specify x-value, can be any continuous or categorical variable.
    mapping.row - specify y-value, can be any continuous or categorical variable (not implemented yet).
    mapping.layout - arranges topoplots by rows when equals :time.
  • visual.colorrange::2-element Vector{Int64}
    Resposnible for colorrange in topoplots and in colorbar.
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

) Code description:

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time windows", aspect = Makie.DataAspect(), title = "", titlesize = 16, titlefont = :bold, ylabel = "", ylabelpadding = 25, xlabelpadding = 25, xpanlock = true, ypanlock = true, xzoomlock = true, yzoomlock = true, xrectzoom = false, yrectzoom = false) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing), col = (:time,), row = (nothing,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = false, label_text = false, bounding_geometry = GeometryBasics.Circle, levels = nothing) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colorrange = nothing) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Topoplot series.

source
UnfoldMakie.rel_to_abs_bboxMethod
rel_to_abs_bbox(org, rel)

Takes a rectangle org consiting of coordinates of origins and applies the relative transformation tuple rel.

Return Value: Makie.BBox.

source
UnfoldMakie.supportive_defaultsMethod
supportive_defaults(cfg_symb::Symbol)

Default configurations for the supporting axis. Similar to PlotConfig, but these configurations are not shared by all plots.
Such supporting axes allow users to flexibly see defaults in docstrings and manipulate them using corresponding axes.

For developers: to make them updateable in the function, use update_axis. Return value: NamedTuple.

source
UnfoldMakie.to_positionsMethod
to_positions(x, y, z; sphere = [0, 0, 0.])
-to_positions(pos::AbstractMatrix; sphere = [0, 0, 0.])

Projects 3D electrode positions to a 2D layout. Reimplementation of the MNE algorithm.

Assumes size(pos) = (3, nChannels) when input is AbstractMatrix.

Tip: You can get positions directly from an MNE object after loading PyMNE and enabling the UnfoldMakie PyMNE extension.

Return Value: Vector{Point2{Float64}}.

source
UnfoldMakie.update_axisMethod
update_axis(support_axis::NamedTuple; kwargs...)

Update values of NamedTuple{key = value}.
Used for supportive axes to make users be able to flexibly change them.

source

Internally, we use a PlotConfig struct to keep track of common plotting options, so that all functions have a similar API.

+plot_erpimage(data::Matrix{Float64}; kwargs...)

Plot an ERP image.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, Vector{Float32}}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • erpblur::Number = 10
    Number indicating how much blur is applied to the image.
    Gaussian blur of the ImageFiltering module is used.
    Non-Positive values deactivate the blur.
  • sortvalues::Vector{Int64} = false
    Parameter over which plot will be sorted. Using sortperm() of Base Julia.
    sortperm() computes a permutation of the array's indices that puts the array in sorted order.
  • sortindex::Vector{Int64} = nothing
    Sorting over index values.
  • meanplot::bool = false
    Add a line plot below the ERP image, showing the mean of the data.
  • show_sortval::bool = false
    Add a plot on the right from ERP image, showing the distribution of the sorting data.
  • sortval_xlabel::String = "Sorting variable"
    If show_sortval = true controls xlabel.
  • axis.ylabel::String = "Trials"
    If sortvalues = true the default text will change to "Sorted trials", but it could be changed to any values specified manually.
  • meanplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (height = 100, xlabel = "Time", xlabelpadding = 0, xautolimitmargin = (0, 0))
  • sortplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabelvisible = true, yticklabelsvisible = false)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Trials") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the ERP image.

source
UnfoldMakie.plot_parallelcoordinatesMethod
plot_parallelcoordinates(data::Union{DataFrame, AbstractMatrix}; kwargs...)
+plot_parallelcoordinates!(f::Union{GridPosition, GridLayout, Figure}, data::Union{DataFrame, AbstractMatrix}; kwargs)

Plot a PCP (parallel coordinates plot).
Dimensions: conditions, channels, time, trials.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure} Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • normalize::Symbol = nothing
    If :minmax, normalize each axis to their respective min-max range.
  • ax_labels::Vector{String} = nothing
    Specify axis labels.
    Should be a vector of labels with length equal to the number of unique mapping.x values.
    Example: ax_labels = ["Fz", "Cz", "O1", "O2"].
  • ax_ticklabels::Symbol = :outmost
    Specify tick labels on axis.
    • :all - show all labels on all axes.
    • :left - show all labels on the left axis, but only min and max on others.
    • :outmost - show labels on min and max of all other axes.
    • :none - remove all labels.
  • bend::Bool = false
    Change straight lines between the axes to curved ("bent") lines using spline interpolation.
    Note: While this makes the plot look cool, it is not generally recommended to bent the lines, as interpretation suffers, and the resulting visualizations can be potentially missleading.
  • visual.alpha::Number = 0.5
    Change of line transparency.

Defining the axes

  • mapping.x = :channel, mapping.y = :estimate.
    Overwrite what should be on the x and the y axes.
  • mapping.color = :colorcolumn
    Split conditions by color. The default color is :black.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Channels", ylabel = "Time", title = "") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = :channel, y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)], color = :black, alpha = 0.3) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, title = "Conditions", merge = true, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Parallel coordinates plot.

source
UnfoldMakie.plot_splinesMethod
plot_splines(m::UnfoldModel; kwargs...)
+plot_splines!(f::Union{GridPosition, GridLayout, Figure}, m::UnfoldModel; kwargs...)

Visualization of spline terms in an UnfoldModel. Two subplots are generated for each spline term:
1) the basis function of the spline; 2) the density of the underlying covariate.
Multiple spline terms are arranged across columns.
Dashed lines indicate spline knots.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure} Figure, GridLayout, or GridPosition to draw the plot.
  • m::UnfoldModel
    UnfoldModel with splines.
  • spline_axis::NamedTuple = (;)
    Here you can flexibly change configurations of spline subplots.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabel = "Spline value", xlabelvisible = false, xticklabelsvisible = false, ylabelvisible = true)
  • density_axis::NamedTuple = (;)
    Here you can flexibly change configurations of density subplots.
    To see all options just type ?Axis in REPL.
    Defaults: (xautolimitmargin = (0, 0), ylabel = "Density value")
  • superlabel_config::NamedTuple = (;)
    Here you can flexibly change configurations of the Label on the top of the plot.
    To see all options just type ?Label in REPL.
    Defaults: (fontsize = 20, padding = (0, 0, 40, 0))

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = NamedTuple() - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :viridis,) - use kwargs... of Makie.series

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, title = "Splines", framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure with splines and their density for basis functions.

source
UnfoldMakie.plot_topoplotMethod
plot_topoplot!(f::Union{GridPosition, GridLayout, Figure}, data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}; positions::Vector, labels = nothing, kwargs...)

using Interpolations: positions plot_topoplot(data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}; position::Vector, labels = nothing, kwargs...)

Plot a topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{<:Observable{<:DataFrame},<:AbstractDataFrame,<:AbstractVector}
    Data for the plot visualization.
  • positions::Vector{Point{2, Float32}}
    Positions used if data is not a DataFrame. Positions are generated from labels if positions = nothing.
  • labels::Vector{String} = nothing
    Labels used if data is not a DataFrame.
  • high_chan = nothing - channnel(s) to highlight by color.
  • high_color = :darkgreen - color for highlighting.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(1.0f0), height = Relative(1.0f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect()) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Topoplot.

source
UnfoldMakie.plot_topoplotseriesMethod
plot_topoplotseries(f::Union{GridPosition, GridLayout, Figure}, data::Union{<:Observable{<:DataFrame},DataFrame}; kwargs...)
+plot_topoplotseries!(data::Union{<:Observable{<:DataFrame},DataFrame}; kwargs...)

Multiple miniature topoplots in regular distances.

Arguments

  • f::Union{GridPosition, GridLayout, GridLayoutBase.GridSubposition, Figure}
    Figure, GridLayout, GridPosition, or GridLayoutBase.GridSubposition to draw the plot.
  • data::Union{<:Observable{<:DataFrame},DataFrame}
    DataFrame with data or Observable DataFrame.
    Requires a time column by default, but can be overridden by specifying mapping=(; x=:my_column) with any continuous or categorical column.

Keyword arguments (kwargs)

  • bin_width::Real = nothing
    Number specifing the width of bin of continuous x-value in its units.
  • bin_num::Real = nothing
    Number of topoplots.
    Either bin_width, or bin_num should be specified. Error if they are both specified
    If mapping.col or mapping.row are categorical bin_width and bin_num stay as nothing.
  • combinefun::Function = mean
    Specify how the samples within bin_width are summarised.
    Example functions: mean, median, std.
  • rasterize_heatmaps::Bool = true
    Force rasterization of the plot heatmap when saving in svg format.
    Except for the interpolated heatmap, all lines/points are vectors.
    This is typically what you want, otherwise you get ~128x128 vectors per topoplot, which makes everything very slow.
  • col_labels::Bool, row_labels::Bool = true
    Shows column and row labels for categorical values.
  • positions::Vector{Point{2, Float32}} = nothing
    Specify channel positions. Requires the list of x and y positions for all unique electrode.
  • labels::Vector{String} = nothing
    Show labels for each electrode.
  • interactive_scatter = nothing
    Enable interactive mode.
    If you create obs_tuple = Observable((0, 0, 0)) and pass it into interactive_scatter you can update the observable tuple with the indices of the clicked topoplot markers.
    (0, 0, 0) corresponds to the (row of topoplot layout, column of topoplot layout, electrode).
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of topoplots.
    To see all options just type ?Axis in REPL.
  • mapping = (; col = :time, row = nothing, layout = nothing)
    mapping.col - specify x-value, can be any continuous or categorical variable.
    mapping.row - specify y-value, can be any continuous or categorical variable (not implemented yet).
    mapping.layout - arranges topoplots by rows when equals :time.
  • visual.colorrange::2-element Vector{Int64}
    Resposnible for colorrange in topoplots and in colorbar.
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (interpresolution = (128, 128), interpolation = TopoPlots.CloughTocher fillvalue: Float64 NaN tol: Float64 1.0e-6 maxiter: Int64 400 rescale: Bool false

) Code description:

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time windows", aspect = Makie.DataAspect(), title = "", titlesize = 16, titlefont = :bold, ylabel = "", ylabelpadding = 25, xlabelpadding = 25, xpanlock = true, ypanlock = true, xzoomlock = true, yzoomlock = true, xrectzoom = false, yrectzoom = false) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing), col = (:time,), row = (nothing,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = false, label_text = false, bounding_geometry = GeometryBasics.Circle, levels = nothing) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colorrange = nothing) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Topoplot series.

source
UnfoldMakie.rel_to_abs_bboxMethod
rel_to_abs_bbox(org, rel)

Takes a rectangle org consiting of coordinates of origins and applies the relative transformation tuple rel.

Return Value: Makie.BBox.

source
UnfoldMakie.supportive_defaultsMethod
supportive_defaults(cfg_symb::Symbol)

Default configurations for the supporting axis. Similar to PlotConfig, but these configurations are not shared by all plots.
Such supporting axes allow users to flexibly see defaults in docstrings and manipulate them using corresponding axes.

For developers: to make them updateable in the function, use update_axis. Return value: NamedTuple.

source
UnfoldMakie.to_positionsMethod
to_positions(x, y, z; sphere = [0, 0, 0.])
+to_positions(pos::AbstractMatrix; sphere = [0, 0, 0.])

Projects 3D electrode positions to a 2D layout. Reimplementation of the MNE algorithm.

Assumes size(pos) = (3, nChannels) when input is AbstractMatrix.

Tip: You can get positions directly from an MNE object after loading PyMNE and enabling the UnfoldMakie PyMNE extension.

Return Value: Vector{Point2{Float64}}.

source
UnfoldMakie.update_axisMethod
update_axis(support_axis::NamedTuple; kwargs...)

Update values of NamedTuple{key = value}.
Used for supportive axes to make users be able to flexibly change them.

source

Internally, we use a PlotConfig struct to keep track of common plotting options, so that all functions have a similar API.

diff --git a/dev/generated/explanations/positions/index.html b/dev/generated/explanations/positions/index.html index 682652c3..aacb0c84 100644 --- a/dev/generated/explanations/positions/index.html +++ b/dev/generated/explanations/positions/index.html @@ -40,4 +40,4 @@ f = Figure(size = (600, 300)) scatter(f[1, 1], pos3d[1:2, :], axis = (title = "Dropping third dimension",)) scatter(f[1, 2], pos2, axis = (title = "Projection form 3D to 2D",)) -fExample block output

As you can see, the "naive" transformation of simply dropping the third dimension does not really work (left). Instead, we have to project the channels onto a sphere and unfold it (right).


This page was generated using Literate.jl.

+fExample block output

As you can see, the "naive" transformation of simply dropping the third dimension does not really work (left). Instead, we have to project the channels onto a sphere and unfold it (right).


This page was generated using Literate.jl.

diff --git a/dev/generated/how_to/hide_deco/index.html b/dev/generated/how_to/hide_deco/index.html index d52c5d5f..5a73eea1 100644 --- a/dev/generated/how_to/hide_deco/index.html +++ b/dev/generated/how_to/hide_deco/index.html @@ -52,4 +52,4 @@ data[:, 340, 1]; positions = positions, layout = (; hidespines = nothing, hidedecorations = nothing), -)Example block output

For more information on the input of these functions refer to the Makie dokumentation on Axis.


This page was generated using Literate.jl.

+)Example block output

For more information on the input of these functions refer to the Makie dokumentation on Axis.


This page was generated using Literate.jl.

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Progress:   4%|█▉                                       |  ETA: 0:00:08
Progress: 100%|█████████████████████████████████████████| Time: 0:00:00

By using the !-version of the plotting function and inserting a grid position instead of an entire figure, we can create complex plot combining several figures. We will start by creating a figure with Makie.Figure.

f = Figure()

Now any plot can be added to f by placing a grid position, such as f[1, 1]. Also we used a specified theme fresh.

f = Figure()
+d_singletrial, _ = UnfoldSim.predef_eeg(; return_epoched = true)

Progress:   4%|█▉                                       |  ETA: 0:00:07
Progress: 100%|█████████████████████████████████████████| Time: 0:00:00

Basic complex figure

By using the !-version of the plotting function and inserting a grid position instead of an entire figure, we can create complex plot combining several figures. We will start by creating a figure with Makie.Figure.

f = Figure()

Now any plot can be added to f by placing a grid position, such as f[1, 1]. Also we used a specified theme fresh.

f = Figure()
 with_theme(theme_ggthemr(:fresh)) do
 
     plot_erp!(f[1, 1], coeftable(uf_deconv))
@@ -151,4 +151,4 @@
         padding = (20, 20, 22, 0),
         halign = :right,
     )
-end
f
Example block output

This page was generated using Literate.jl.

+end
f
Example block output

This page was generated using Literate.jl.

diff --git a/dev/generated/how_to/position2color/index.html b/dev/generated/how_to/position2color/index.html index b3ec7b9a..65a089c2 100644 --- a/dev/generated/how_to/position2color/index.html +++ b/dev/generated/how_to/position2color/index.html @@ -30,4 +30,4 @@ positions = positions, topopositions_to_color = x -> (GrayA(UnfoldMakie.pos_to_color_RomaO(x), 0.5)), ) -fExample block output

This page was generated using Literate.jl.

+fExample block output

This page was generated using Literate.jl.

diff --git a/dev/generated/intro/code_principles/index.html b/dev/generated/intro/code_principles/index.html index 3ea4a7fa..615b33f0 100644 --- a/dev/generated/intro/code_principles/index.html +++ b/dev/generated/intro/code_principles/index.html @@ -1,2 +1,2 @@ -Code principles · UnfoldMakie.jl

Code principles

Here we will write about principles which we developed through our publication.

  • Code should be clear and concise.
  • Variables inside the code should have meaningful names.
  • Every function exposed to the user should have documentation that specifies all parameters, types, input and output arguments.
  • Most people will not look at the defaults, so it is very important to nudge users to label important details of the plot.
  • Function naming should be based on some theory and naming conventions.
  • You should avoid functions longer 50 lines.

This page was generated using Literate.jl.

+Code principles · UnfoldMakie.jl

Code principles

Here we will write about principles which we developed through our publication.

  • Code should be clear and concise.
  • Variables inside the code should have meaningful names.
  • Every function exposed to the user should have documentation that specifies all parameters, types, input and output arguments.
  • Most people will not look at the defaults, so it is very important to nudge users to label important details of the plot.
  • Function naming should be based on some theory and naming conventions.
  • You should avoid functions longer 50 lines.

This page was generated using Literate.jl.

diff --git a/dev/generated/intro/installation/index.html b/dev/generated/intro/installation/index.html index 12522c37..e129d88b 100644 --- a/dev/generated/intro/installation/index.html +++ b/dev/generated/intro/installation/index.html @@ -3,4 +3,4 @@ using Pkg Pkg.activate("FOLDER_PATH") Pkg.resolve() -end

Use slash / for the folder path.


This page was generated using Literate.jl.

+end

Use slash / for the folder path.


This page was generated using Literate.jl.

diff --git a/dev/generated/intro/plot_types/index.html b/dev/generated/intro/plot_types/index.html index a3e336e9..f169c571 100644 --- a/dev/generated/intro/plot_types/index.html +++ b/dev/generated/intro/plot_types/index.html @@ -1,2 +1,2 @@ -Plot types · UnfoldMakie.jl

The Dilemma of Multidimensionality

Note

Please read the paper The Art of Brainwaves, if you want to know how we come up with these plot types.

EEG – multidimensional data and could be presented differently.

Possible dimensions:

  • Voltage (must have)
  • Time
  • Number of channels (1-128)
  • Spatial layout of channels
  • Experimental conditions
  • Trials/subjects

Each way of ERP presentation is a choice of dimensions. Hard to show meaningfully more than 3 dimensions.

Plot types

Each plot type can represent several dimensions. Here we represented 8 plot types.


This page was generated using Literate.jl.

+Plot types · UnfoldMakie.jl

The Dilemma of Multidimensionality

Note

Please read the paper The Art of Brainwaves, if you want to know how we come up with these plot types.

EEG – multidimensional data and could be presented differently.

Possible dimensions:

  • Voltage (must have)
  • Time
  • Number of channels (1-128)
  • Spatial layout of channels
  • Experimental conditions
  • Trials/subjects

Each way of ERP presentation is a choice of dimensions. Hard to show meaningfully more than 3 dimensions.

Plot types

Each plot type can represent several dimensions. Here we represented 8 plot types.


This page was generated using Literate.jl.

diff --git a/dev/generated/intro/speed/index.html b/dev/generated/intro/speed/index.html index e6e546a8..26db84ef 100644 --- a/dev/generated/intro/speed/index.html +++ b/dev/generated/intro/speed/index.html @@ -6,27 +6,27 @@ using BenchmarkTools using Observables using CairoMakie

Data input

dat, positions = TopoPlots.example_data()
-df = UnfoldMakie.eeg_array_to_dataframe(dat[:, :, 1], string.(1:length(positions)));

Topoplots

UnfoldMakie.jl

@benchmark plot_topoplot(dat[:, 320, 1]; positions = positions)
BenchmarkTools.Trial: 127 samples with 1 evaluation.
- Range (minmax):  34.800 ms351.781 ms   GC (min … max): 0.00% … 89.04%
- Time  (median):     35.916 ms                GC (median):    0.00%
- Time  (mean ± σ):   39.475 ms ±  28.476 ms   GC (mean ± σ):  6.25% ±  7.90%
+df = UnfoldMakie.eeg_array_to_dataframe(dat[:, :, 1], string.(1:length(positions)));

Topoplots

UnfoldMakie.jl

@benchmark plot_topoplot(dat[:, 320, 1]; positions = positions)
BenchmarkTools.Trial: 126 samples with 1 evaluation.
+ Range (minmax):  35.262 ms79.280 ms   GC (min … max): 0.00% … 0.00%
+ Time  (median):     36.317 ms               GC (median):    0.00%
+ Time  (mean ± σ):   39.696 ms ±  9.619 ms   GC (mean ± σ):  0.00% ± 0.00%
 
-  ▅                                                            
-  █▆▃▃▄▁▁▁▂▁▁▁▁▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▂▁▁▁▂ ▂
-  34.8 ms         Histogram: frequency by time         80.2 ms <
+  ▇█▂  ▂                                                      
+  ███▇▁█▇▁▁▁▁▁▅▁▁▁▅▁▁▅▁▁▁▁▁▁▁▁▁▁▁▅▁▁▁▁▁▁▁▁▁▁▁▁▁▅▁▁▁▁▁▅▇▁▆▁▅ ▅
+  35.3 ms      Histogram: log(frequency) by time      74.8 ms <
 
  Memory estimate: 9.36 MiB, allocs estimate: 141058.

UnfoldMakie.jl with DelaunayMesh

@benchmark plot_topoplot(
     dat[:, 320, 1];
     positions = positions,
     topo_interpolation = (; interpolation = DelaunayMesh()),
-)
BenchmarkTools.Trial: 134 samples with 1 evaluation.
- Range (minmax):  34.885 ms77.774 ms   GC (min … max): 0.00% … 0.00%
- Time  (median):     36.539 ms               GC (median):    0.00%
- Time  (mean ± σ):   37.480 ms ±  4.206 ms   GC (mean ± σ):  0.00% ± 0.00%
+)
BenchmarkTools.Trial: 128 samples with 1 evaluation.
+ Range (minmax):  35.886 ms81.395 ms   GC (min … max): 0.00% … 0.00%
+ Time  (median):     38.054 ms               GC (median):    0.00%
+ Time  (mean ± σ):   39.059 ms ±  4.558 ms   GC (mean ± σ):  0.00% ± 0.00%
 
-   ▃█▃▇▃▆                                                  
-  ▅███████▅▃▁▆▅▁▁▄▁▃▄██▃▁▄▃▁▃▁▁▁▁▁▃▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▃▃ ▃
-  34.9 ms         Histogram: frequency by time        49.3 ms <
+    ▆█▄      ▁                                              
+  ▇▄████▇█▅██▄█▅▃▃▅▃▃▁▁▁▃▁▁▁▁▁▁▁▁▁▁▃▁▁▁▁▁▁▃▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▃ ▃
+  35.9 ms         Histogram: frequency by time        54.8 ms <
 
  Memory estimate: 9.36 MiB, allocs estimate: 141065.

MNE

posmat = collect(reduce(hcat, [[p[1], p[2]] for p in positions])')
 pypos = Py(posmat).to_numpy()
@@ -44,14 +44,14 @@
         contours = 6,
     )
     f.show()
-end
BenchmarkTools.Trial: 285 samples with 1 evaluation.
- Range (minmax):  12.956 ms612.443 ms   GC (min … max): 0.00% … 0.00%
- Time  (median):     13.255 ms                GC (median):    0.00%
- Time  (mean ± σ):   17.535 ms ±  47.401 ms   GC (mean ± σ):  0.00% ± 0.00%
+end
BenchmarkTools.Trial: 265 samples with 1 evaluation.
+ Range (minmax):  13.016 ms647.607 ms   GC (min … max): 0.00% … 0.00%
+ Time  (median):     13.827 ms                GC (median):    0.00%
+ Time  (mean ± σ):   18.857 ms ±  52.430 ms   GC (mean ± σ):  0.00% ± 0.00%
 
-  ▂▆█▆▄▂                                                       
-  ██████▇▄▇▁▄▁▁▁▄▁▄▄▁▆▄▇▁██▆▆▁▇▄▄▇▁▄▁▁▁▁▁▁▁▁▄▁▁▁▁▁▁▁▁▁▁▁▁▁▄▄ ▆
-  13 ms         Histogram: log(frequency) by time      18.2 ms <
+   ▆█▄                                  
+  ▇████▅▁▁▁▃▂▃▃▃▃▃▃▄▃▃▁▂▁▁▁▁▂▁▁▁▁▁▁▁▁▂▁▁▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▂▁▁▂ ▃
+  13 ms           Histogram: frequency by time         25.6 ms <
 
  Memory estimate: 4.27 KiB, allocs estimate: 134.

Topoplot series

Note that UnfoldMakie and MNE have different defaults for displaying topoplot series. UnfoldMakie in plot_topoplot averages over time samples. MNE in plot_topopmap displays single samples without averaging.

UnfoldMakie.jl

@benchmark begin
     plot_topoplotseries(
@@ -61,13 +61,13 @@
         axis = (; xlabel = "Time windows [s]"),
     )
 end
BenchmarkTools.Trial: 3 samples with 1 evaluation.
- Range (minmax):  1.891 s   2.134 s   GC (min … max): 0.00% … 0.00%
- Time  (median):     1.983 s                GC (median):    0.00%
- Time  (mean ± σ):   2.003 s ± 122.794 ms   GC (mean ± σ):  0.00% ± 0.00%
+ Range (minmax):  2.090 s  2.165 s   GC (min … max): 0.00% … 0.00%
+ Time  (median):     2.098 s               GC (median):    0.00%
+ Time  (mean ± σ):   2.118 s ± 41.532 ms   GC (mean ± σ):  0.00% ± 0.00%
 
-                                █  
-  ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁█▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁█ ▁
-  1.89 s         Histogram: frequency by time         2.13 s <
+                                     █  
+  ▁▁▁▁▁█▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁█ ▁
+  2.09 s         Histogram: frequency by time        2.17 s <
 
  Memory estimate: 418.40 MiB, allocs estimate: 6032996.

MNE

easycap_montage = PyMNE.channels.make_standard_montage("standard_1020")
 ch_names = pyconvert(Vector{String}, easycap_montage.ch_names)[1:64]
@@ -76,13 +76,13 @@
 simulated_epochs = PyMNE.EvokedArray(Py(dat[:, :, 1]), info)
 
 @benchmark simulated_epochs.plot_topomap(1:50)
BenchmarkTools.Trial: 5 samples with 1 evaluation.
- Range (minmax):  751.000 ms   2.064 s   GC (min … max): 0.00% … 0.00%
- Time  (median):     763.561 ms                GC (median):    0.00%
- Time  (mean ± σ):      1.022 s ± 582.664 ms   GC (mean ± σ):  0.00% ± 0.00%
+ Range (minmax):  739.959 ms   2.040 s   GC (min … max): 0.00% … 0.00%
+ Time  (median):     754.978 ms                GC (median):    0.00%
+ Time  (mean ± σ):      1.009 s ± 576.396 ms   GC (mean ± σ):  0.00% ± 0.00%
 
                                                                 
-  ▇▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▇ ▁
-  751 ms           Histogram: frequency by time          2.06 s <
+  ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▆ ▁
+  740 ms           Histogram: frequency by time          2.04 s <
 
  Memory estimate: 3.25 KiB, allocs estimate: 111.

MATLAB

Running MATLAB on a GitHub Action is not easy. So we benchmarked three consecutive executions (on a screenshot) on a server with an AMD EPYC 7452 32-core processor. Note that Github and the server we used for MATLAB benchmarking are two different computers, which can give different timing results.

Animation

The main advantage of Julia is the speed with which the figures are updated.

timestamps = range(1, 50, step = 1)
 framerate = 50
50

UnfoldMakie with .gif

@benchmark begin
@@ -93,13 +93,13 @@
         dat_obs[] = @view(dat[:, t, 1])
     end
 end
BenchmarkTools.Trial: 2 samples with 1 evaluation.
- Range (minmax):  3.915 s  3.983 s   GC (min … max): 0.00% … 0.00%
- Time  (median):     3.949 s               GC (median):    0.00%
- Time  (mean ± σ):   3.949 s ± 47.661 ms   GC (mean ± σ):  0.00% ± 0.00%
+ Range (minmax):  3.927 s   4.082 s   GC (min … max): 0.00% … 0.00%
+ Time  (median):     4.004 s                GC (median):    0.00%
+ Time  (mean ± σ):   4.004 s ± 109.769 ms   GC (mean ± σ):  0.00% ± 0.00%
 
-                                                         █  
-  ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁█ ▁
-  3.92 s         Histogram: frequency by time        3.98 s <
+                                                          █  
+  ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁█ ▁
+  3.93 s         Histogram: frequency by time         4.08 s <
 
  Memory estimate: 688.83 MiB, allocs estimate: 937312.

MNE with .gif

@benchmark begin
     fig, anim = simulated_epochs.animate_topomap(
@@ -110,5 +110,5 @@
     )
     anim.save("topomap_animation_mne.gif", writer = "ffmpeg", fps = framerate)
 end
BenchmarkTools.Trial: 1 sample with 1 evaluation.
- Single result which took 8.271 s (0.00% GC) to evaluate,
- with a memory estimate of 4.18 KiB, over 158 allocations.


This page was generated using Literate.jl.

+ Single result which took 8.222 s (0.00% GC) to evaluate, + with a memory estimate of 4.18 KiB, over 158 allocations.


This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/butterfly/index.html b/dev/generated/tutorials/butterfly/index.html index 83a5d2ed..2135711e 100644 --- a/dev/generated/tutorials/butterfly/index.html +++ b/dev/generated/tutorials/butterfly/index.html @@ -44,4 +44,4 @@ visual = (; color = 1:2, colormap = [gray, :red]), )Example block output

Column Mappings

Since butterfly plots use a DataFrame as input, the library needs to know the names of the columns used for plotting. You can set these mapping values by calling plot_butterfly(...; mapping=(; :x=:time)). Just specify a NamedTuple. Note the ; right after the opening parentheses.

Configurations of Butterfly Plot

UnfoldMakie.plot_butterflyFunction
plot_butterfly(plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)
 plot_butterfly(times::Vector, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)
-plot_butterfly!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)

Plot a Butterfly plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_butterfly(df; visual = (; colormap = :romaO)).

Keyword arguments (kwargs)

  • positions::Array = []
    Adds a topoplot as an inset legend to the provided channel positions. Must be the same length as plot_data. To change the colors of the channel lines use the topoposition_to_color function.
  • topolegend::Bool = true
    Show an inlay topoplot with corresponding electrodes. Requires positions.
  • topopositions_to_color::x -> pos_to_color_RomaO(x)
    Change the line colors.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(0.35f0), height = Relative(0.35f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (head = (color = :black, linewidth = 1), label_scatter = (markersize = 10, strokewidth = 0.5), interpolation = TopoPlots.NullInterpolator())
  • mapping = (;)
    For highlighting specific channels.
    Example: mapping = (; color = :highlight)), where :highlight is variable with appopriate mapping.

Return Value: Figure displaying Butterfly plot.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:channel, :channels, :trial, :trials), positions = (:pos, :positions, :position, :topo_positions, :x, nothing), labels = (:labels, :label, :topoLabels, :sensor, nothing), group = (:channel,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = nothing, color = nothing) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

see also plot_erp

source

This page was generated using Literate.jl.

+plot_butterfly!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix}; kwargs...)

Plot a Butterfly plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_butterfly(df; visual = (; colormap = :romaO)).

Keyword arguments (kwargs)

  • positions::Array = []
    Adds a topoplot as an inset legend to the provided channel positions. Must be the same length as plot_data. To change the colors of the channel lines use the topoposition_to_color function.
  • topolegend::Bool = true
    Show an inlay topoplot with corresponding electrodes. Requires positions.
  • topopositions_to_color::x -> pos_to_color_RomaO(x)
    Change the line colors.
  • topo_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot axis.
    To see all options just type ?Axis in REPL.
    Defaults: (width = Relative(0.35f0), height = Relative(0.35f0), halign = 0.05, valign = 0.95, aspect = 1)
  • topo_attributes::NamedTuple = (;)
    Here you can flexibly change configurations of the topoplot interoplation.
    To see all options just type ?Topoplot.topoplot in REPL.
    Defaults: (head = (color = :black, linewidth = 1), label_scatter = (markersize = 10, strokewidth = 0.5), interpolation = TopoPlots.NullInterpolator())
  • mapping = (;)
    For highlighting specific channels.
    Example: mapping = (; color = :highlight)), where :highlight is variable with appopriate mapping.

Return Value: Figure displaying Butterfly plot.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:channel, :channels, :trial, :trials), positions = (:pos, :positions, :position, :topo_positions, :x, nothing), labels = (:labels, :label, :topoLabels, :sensor, nothing), group = (:channel,)) - use any mapping from AlgebraOfGraphics

visual = (colormap = nothing, color = nothing) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

see also plot_erp

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/channel_image/index.html b/dev/generated/tutorials/channel_image/index.html index 768a6a13..b8f6e6f9 100644 --- a/dev/generated/tutorials/channel_image/index.html +++ b/dev/generated/tutorials/channel_image/index.html @@ -12,4 +12,4 @@ plot_channelimage(data[1:30, :], pos, raw_ch_names;)Example block output

Configurations for Channel image

UnfoldMakie.plot_channelimageFunction
plot_channelimage!(f::Union{GridPosition, GridLayout, Figure}, data::Union{DataFrame,AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)
-plot_channelimage(data::Union{DataFrame, AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)

Plot a Channel image

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    DataFrame or Matrix with data.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float32}}
    A vector with EEG layout coordinates.
  • ch_names::Vector{String}
    Vector with channel names.
  • times::Vector = range(-0.3, 1.2, length = size(data, 2))
    Time range on x-axis.
  • sorting_variables::Vector = [:y, :x]
    Method to sort channels on y-axis.
    For instance, you can sort by channel positions on the scalp (x, y) or channel name.
  • sorting_reverse::Vector = [:false, :false]
    Should sorting variables be reversed or not?

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Channels", yticklabelsize = 14) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Channel image.

source

This page was generated using Literate.jl.

+plot_channelimage(data::Union{DataFrame, AbstractMatrix}, positions::Vector{Point{2,Float32}}, ch_names::Vector{String}; kwargs...)

Plot a Channel image

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, AbstractMatrix}
    DataFrame or Matrix with data.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float32}}
    A vector with EEG layout coordinates.
  • ch_names::Vector{String}
    Vector with channel names.
  • times::Vector = range(-0.3, 1.2, length = size(data, 2))
    Time range on x-axis.
  • sorting_variables::Vector = [:y, :x]
    Method to sort channels on y-axis.
    For instance, you can sort by channel positions on the scalp (x, y) or channel name.
  • sorting_reverse::Vector = [:false, :false]
    Should sorting variables be reversed or not?

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Channels", yticklabelsize = 14) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Channel image.

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/circ_topo/index.html b/dev/generated/tutorials/circ_topo/index.html index fa40fdab..84485b73 100644 --- a/dev/generated/tutorials/circ_topo/index.html +++ b/dev/generated/tutorials/circ_topo/index.html @@ -22,4 +22,4 @@ predictor = :time, predictor_bounds = [80, 320], )Example block output

Configurations of Circular Topoplots

UnfoldMakie.plot_circular_topoplotsFunction
plot_circular_topoplots!(f, data::DataFrame; kwargs...)
-plot_circular_topoplots(data::DataFrame; kwargs...)

Plot a circular EEG topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::DataFrame
    DataFrame with data keys (columns :y, :yhat, :estimate), and :position (columns :pos, :position, :positions).

Keyword arguments (kwargs)

  • predictor::Vector{Any} = :predictor
    The circular predictor value, defines position of topoplot across the circle. Mapped around predictor_bounds.
  • predictor_bounds::Vector{Int64} = [0, 360]
    The bounds of the predictor. Relevant for the axis labels.
  • positions::Vector{Point{2, Float32}} = nothing
    Positions of the plot_topoplot.
  • center_label::String = ""
    The text in the center of the cricle.
  • plot_radius::String = 0.8
    The radius of the circular topoplot series plot calucalted by formula: radius = (minwidth * plot_radius) / 2.
  • labels::Vector{String} = nothing
    Labels for the plot_topoplots.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect(), label = "") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colormap = Makie.Reverse{Symbol}(:RdBu)) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Circular topoplot series.

source

This page was generated using Literate.jl.

+plot_circular_topoplots(data::DataFrame; kwargs...)

Plot a circular EEG topoplot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::DataFrame
    DataFrame with data keys (columns :y, :yhat, :estimate), and :position (columns :pos, :position, :positions).

Keyword arguments (kwargs)

  • predictor::Vector{Any} = :predictor
    The circular predictor value, defines position of topoplot across the circle. Mapped around predictor_bounds.
  • predictor_bounds::Vector{Int64} = [0, 360]
    The bounds of the predictor. Relevant for the axis labels.
  • positions::Vector{Point{2, Float32}} = nothing
    Positions of the plot_topoplot.
  • center_label::String = ""
    The text in the center of the cricle.
  • plot_radius::String = 0.8
    The radius of the circular topoplot series plot calucalted by formula: radius = (minwidth * plot_radius) / 2.
  • labels::Vector{String} = nothing
    Labels for the plot_topoplots.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", aspect = Makie.DataAspect(), label = "") - use kwargs... of Makie.Axis

layout = (show_legend = false, use_colorbar = true, hidespines = (), hidedecorations = Dict{Symbol, Bool}(:label => 0)) - check this page

mapping = (x = nothing, y = (:estimate, :yhat, :y), positions = (:pos, :positions, :position, nothing), labels = (:labels, :label, :sensor, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{Symbol}(:RdBu), contours = (color = :white, linewidth = 2), enlarge = 1, label_scatter = true, label_text = false, bounding_geometry = GeometryBasics.Circle) - use kwargs... of Topoplot.eeg_topoplot

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "Voltage", colormap = Makie.Reverse{Symbol}(:RdBu)) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Circular topoplot series.

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/designmatrix/index.html b/dev/generated/tutorials/designmatrix/index.html index 72605c93..4c5f9529 100644 --- a/dev/generated/tutorials/designmatrix/index.html +++ b/dev/generated/tutorials/designmatrix/index.html @@ -4,4 +4,4 @@ using DataFrames using CairoMakie

Data

include("../../../example_data.jl")
 uf = example_data("UnfoldLinearModel");

Plot Designmatrices

The following code will result in the default configuration.

plot_designmatrix(designmatrix(uf))
Example block output

To make the design matrix easier to read, you may want to sort it using sort_data.

plot_designmatrix(designmatrix(uf); sort_data = true)
Example block output

Configurations for Design matrix plot

UnfoldMakie.plot_designmatrixFunction
plot_designmatrix!(f::Union{GridPosition, GridLayout, Figure}, data::Unfold.DesignMatrix; kwargs...)
-plot_designmatrix(data::Unfold.DesignMatrix; kwargs...)

Plot a designmatrix.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Unfold.DesignMatrix
    Data for the plot visualization.

Keyword arguments (kwargs)

  • standardize_data::Bool = true
    Indicates whether the data is standardized by pointwise division of the data with its sampled standard deviation.
  • sort_data::Bool = true
    Indicates whether the data is sorted. It uses sortslices() of Base Julia.
  • xticks::Num = nothing
    Returns the number of labels on the x axis.
    • xticks = 0: no labels are placed.
    • xticks = 1: first possible label is placed.
    • xticks = 2: first and last possible labels are placed.
    • 2 < xticks < number of labels: equally distribute the labels.
    • xticksnumber of labels: all labels are placed.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Conditions", ylabel = "Trials", xticklabelrotation = 0.39) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Design matrix.

source

This page was generated using Literate.jl.

+plot_designmatrix(data::Unfold.DesignMatrix; kwargs...)

Plot a designmatrix.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Unfold.DesignMatrix
    Data for the plot visualization.

Keyword arguments (kwargs)

  • standardize_data::Bool = true
    Indicates whether the data is standardized by pointwise division of the data with its sampled standard deviation.
  • sort_data::Bool = true
    Indicates whether the data is sorted. It uses sortslices() of Base Julia.
  • xticks::Num = nothing
    Returns the number of labels on the x axis.
    • xticks = 0: no labels are placed.
    • xticks = 1: first possible label is placed.
    • xticks = 2: first and last possible labels are placed.
    • 2 < xticks < number of labels: equally distribute the labels.
    • xticksnumber of labels: all labels are placed.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Conditions", ylabel = "Trials", xticklabelrotation = 0.39) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, flipaxis = true, label = "") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the Design matrix.

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/erp/index.html b/dev/generated/tutorials/erp/index.html index 48d05a3c..434e1ea9 100644 --- a/dev/generated/tutorials/erp/index.html +++ b/dev/generated/tutorials/erp/index.html @@ -62,4 +62,4 @@ plot_erp(select(results, Not(:stderror)); stderror = true)Example block output

Second way is to specify manually lower and higher borders of the error bands.

Note

:stderror has precedence over :se_low/:se_high.

Faceting

Creation of column facets for each channel.

m7 = example_data("7channels")
 results7 = coeftable(m7)
 plot_erp(results7, mapping = (; col = :channel, group = :channel))
Example block output

Configurations of ERP plot

UnfoldMakie.plot_erpFunction
plot_erp!(f::Union{GridPosition, GridLayout, Figure}, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)
-plot_erp(times, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)

Plot an ERP plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}, Vector{Float32}}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_erp(df; mapping = (; color = :coefname, col = :conditionA)).

Keyword arguments (kwargs)

  • stderror::Bool = false
    Add an error ribbon, with lower and upper limits based on the :stderror column.
  • significance::DataFrame = nothing
    Show significant time periods as horizontal bars.
    Example: DataFrame(from = [0.1, 0.3], to = [0.5, 0.7], coefname = ["(Intercept)", "condition: face"]).
    If coefname is not specified, the significance lines will be black.
  • layout.use_colorbar = true
    Enable or disable colorbar.
  • layout.use_legend = true
    Enable or disable legend.
  • layout.show_legend = true
    Enable or disable legend and colorbar.
  • mapping = (;)
    Specify color, col (column), linestyle, group.
    F.i. mapping = (; col = :group) will make a column for each group.
  • visual = (; color = Makie.wong_colors, colormap = :roma)
    For categorical color use visual.color, for continuous - visual.colormap.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:grid => 1, :label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:color, :coefname, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma, color = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)]) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

Return Value: Figure displaying the ERP plot.

source

This page was generated using Literate.jl.

+plot_erp(times, plot_data::Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}}; kwargs...)

Plot an ERP plot.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Union{DataFrame, AbstractMatrix, AbstractVector{<:Number}, Vector{Float32}}
    Data for the ERP plot visualization.
  • kwargs...
    Additional styling behavior.
    Often used as: plot_erp(df; mapping = (; color = :coefname, col = :conditionA)).

Keyword arguments (kwargs)

  • stderror::Bool = false
    Add an error ribbon, with lower and upper limits based on the :stderror column.
  • significance::DataFrame = nothing
    Show significant time periods as horizontal bars.
    Example: DataFrame(from = [0.1, 0.3], to = [0.5, 0.7], coefname = ["(Intercept)", "condition: face"]).
    If coefname is not specified, the significance lines will be black.
  • layout.use_colorbar = true
    Enable or disable colorbar.
  • layout.use_legend = true
    Enable or disable legend.
  • layout.show_legend = true
    Enable or disable legend and colorbar.
  • mapping = (;)
    Specify color, col (column), linestyle, group.
    F.i. mapping = (; col = :group) will make a column for each group.
  • visual = (; color = Makie.wong_colors, colormap = :roma)
    For categorical color use visual.color, for continuous - visual.colormap.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", yticklabelsize = 14, xtickformat = "{:.1f}") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true, use_legend = true, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:grid => 1, :label => 0, :ticks => 0, :ticklabels => 0)) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:color, :coefname, nothing)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma, color = ColorTypes.RGBA{Float32}[RGBA{Float32}(0.0f0,0.44705883f0,0.69803923f0,1.0f0), RGBA{Float32}(0.9019608f0,0.62352943f0,0.0f0,1.0f0), RGBA{Float32}(0.0f0,0.61960787f0,0.4509804f0,1.0f0), RGBA{Float32}(0.8f0,0.4745098f0,0.654902f0,1.0f0), RGBA{Float32}(0.3372549f0,0.7058824f0,0.9137255f0,1.0f0), RGBA{Float32}(0.8352941f0,0.36862746f0,0.0f0,1.0f0), RGBA{Float32}(0.9411765f0,0.89411765f0,0.25882354f0,1.0f0)]) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "", flipaxis = true) - use kwargs... of AlgebraOfGraphics.colorbar!

Return Value: Figure displaying the ERP plot.

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/erp_grid/index.html b/dev/generated/tutorials/erp_grid/index.html index fa36324e..80444803 100644 --- a/dev/generated/tutorials/erp_grid/index.html +++ b/dev/generated/tutorials/erp_grid/index.html @@ -10,4 +10,4 @@ f = Figure() plot_erpgrid!(f[1, 1], data, pos; axis = (; xlabel = "s", ylabel = "µV")) fExample block output

Configurations for Channel image

UnfoldMakie.plot_erpgridFunction
plot_erpgrid(data::Union{Matrix{<:Real}, DataFrame}, positions::Vector; kwargs...)
-plot_erpgrid!(f::Union{GridPosition, GridLayout, Figure}, data::Union{Matrix{<:Real}, DataFrame}, positions::Vector, ch_names::Vector{String}; kwargs...)

Plot an ERP image.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Matrix{<:Real}, DataFrame}
    Data for the plot visualization.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float}}
    Electrode positions.
  • ch_names::Vector{String}
    Vector with channel names.
  • hlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the hlines on all subaxes.
    To see all options just type ?hlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5)
  • vlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the vlines on all subaxes.
    To see all options just type ?vlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5, ymin = 0.2, ymax = 0.8)
  • lines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the lines on all subaxes.
    To see all options just type ?lines in REPL.
    Defaults: (color = :deepskyblue3,)
  • labels_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the labels on all subaxes.
    To see all options just type ?text in REPL.
    Defaults: (color = :gray, fontsize = 12, align = (:left, :top), space = :relative)

Keyword arguments (kwargs)

  • drawlabels::Bool = false
    Draw channels labels over each waveform.
  • times::Vector = 1:size(data, 2)
    Vector of size().

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", xlim = [-0.04, 1.0], ylim = [-0.04, 1.0], fontsize = 12) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying ERP grid.

source

This page was generated using Literate.jl.

+plot_erpgrid!(f::Union{GridPosition, GridLayout, Figure}, data::Union{Matrix{<:Real}, DataFrame}, positions::Vector, ch_names::Vector{String}; kwargs...)

Plot an ERP image.

Arguments

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{Matrix{<:Real}, DataFrame}
    Data for the plot visualization.
    Data should has a format of 1 row - 1 channel.
  • positions::Vector{Point{2,Float}}
    Electrode positions.
  • ch_names::Vector{String}
    Vector with channel names.
  • hlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the hlines on all subaxes.
    To see all options just type ?hlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5)
  • vlines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the vlines on all subaxes.
    To see all options just type ?vlines in REPL.
    Defaults: (color = :gray, linewidth = 0.5, ymin = 0.2, ymax = 0.8)
  • lines_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the lines on all subaxes.
    To see all options just type ?lines in REPL.
    Defaults: (color = :deepskyblue3,)
  • labels_grid_axis::NamedTuple = (;)
    Here you can flexibly change configurations of the labels on all subaxes.
    To see all options just type ?text in REPL.
    Defaults: (color = :gray, fontsize = 12, align = (:left, :top), space = :relative)

Keyword arguments (kwargs)

  • drawlabels::Bool = false
    Draw channels labels over each waveform.
  • times::Vector = 1:size(data, 2)
    Vector of size().

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Voltage", xlim = [-0.04, 1.0], ylim = [-0.04, 1.0], fontsize = 12) - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = :roma,) - use kwargs... of Makie.lines

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966) - use kwargs... of Makie.Colorbar

Return Value: Figure displaying ERP grid.

source

This page was generated using Literate.jl.

diff --git a/dev/generated/tutorials/erpimage/index.html b/dev/generated/tutorials/erpimage/index.html index 9c4c6847..114156c7 100644 --- a/dev/generated/tutorials/erpimage/index.html +++ b/dev/generated/tutorials/erpimage/index.html @@ -34,4 +34,4 @@ plot_erpimage!(f::Union{GridPosition, GridLayout, Figure}, times::Observable{<:AbstractVector}, data::Observable{<:AbstractMatrix{<:Real}}; kwargs...) plot_erpimage(times::AbstractVector, data::Union{<:Observable{Matrix{<:Real}}, Matrix{<:Real}}; kwargs...) -plot_erpimage(data::Matrix{Float64}; kwargs...)

Plot an ERP image.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, Vector{Float32}}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • erpblur::Number = 10
    Number indicating how much blur is applied to the image.
    Gaussian blur of the ImageFiltering module is used.
    Non-Positive values deactivate the blur.
  • sortvalues::Vector{Int64} = false
    Parameter over which plot will be sorted. Using sortperm() of Base Julia.
    sortperm() computes a permutation of the array's indices that puts the array in sorted order.
  • sortindex::Vector{Int64} = nothing
    Sorting over index values.
  • meanplot::bool = false
    Add a line plot below the ERP image, showing the mean of the data.
  • show_sortval::bool = false
    Add a plot on the right from ERP image, showing the distribution of the sorting data.
  • sortval_xlabel::String = "Sorting variable"
    If show_sortval = true controls xlabel.
  • axis.ylabel::String = "Trials"
    If sortvalues = true the default text will change to "Sorted trials", but it could be changed to any values specified manually.
  • meanplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (height = 100, xlabel = "Time", xlabelpadding = 0, xautolimitmargin = (0, 0))
  • sortplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabelvisible = true, yticklabelsvisible = false)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Trials") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the ERP image.

source

This page was generated using Literate.jl.

+plot_erpimage(data::Matrix{Float64}; kwargs...)

Plot an ERP image.

Arguments:

  • f::Union{GridPosition, GridLayout, Figure}
    Figure, GridLayout, or GridPosition to draw the plot.
  • data::Union{DataFrame, Vector{Float32}}
    Data for the plot visualization.

Keyword arguments (kwargs)

  • erpblur::Number = 10
    Number indicating how much blur is applied to the image.
    Gaussian blur of the ImageFiltering module is used.
    Non-Positive values deactivate the blur.
  • sortvalues::Vector{Int64} = false
    Parameter over which plot will be sorted. Using sortperm() of Base Julia.
    sortperm() computes a permutation of the array's indices that puts the array in sorted order.
  • sortindex::Vector{Int64} = nothing
    Sorting over index values.
  • meanplot::bool = false
    Add a line plot below the ERP image, showing the mean of the data.
  • show_sortval::bool = false
    Add a plot on the right from ERP image, showing the distribution of the sorting data.
  • sortval_xlabel::String = "Sorting variable"
    If show_sortval = true controls xlabel.
  • axis.ylabel::String = "Trials"
    If sortvalues = true the default text will change to "Sorted trials", but it could be changed to any values specified manually.
  • meanplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (height = 100, xlabel = "Time", xlabelpadding = 0, xautolimitmargin = (0, 0))
  • sortplot_axis::NamedTuple = (;)
    Here you can flexibly change configurations of meanplot.
    To see all options just type ?Axis in REPL.
    Defaults: (ylabelvisible = true, yticklabelsvisible = false)

Shared plot configuration options

The shared plot options can be used as follows: type = (; key = value, ...)).
For example, plot_x(...; colorbar = (; vertical = true, label = "Test")).
Multiple defaults will be cycled until match.

Placing ; is important!

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time", ylabel = "Trials") - use kwargs... of Makie.Axis

layout = (show_legend = true, use_colorbar = true) - check this page

mapping = (x = (:time,), y = (:estimate, :yhat, :y)) - use any mapping from AlgebraOfGraphics

visual = (colormap = Makie.Reverse{String}("RdBu"),) - use kwargs... of Makie.heatmap

legend = (orientation = :vertical, tellwidth = true, tellheight = false, halign = :right, valign = :center) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false, labelrotation = -1.5707963267948966, label = "Voltage") - use kwargs... of Makie.Colorbar

Return Value: Figure displaying the ERP image.

source

This page was generated using Literate.jl.

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