Add helper plotting functions for fitting

DESCRIPTION

@@ -23,6 +23,7 @@ LinkingTo:
 Suggests:
     knitr,
     rmarkdown,
+    ggplot2,
     testthat (>= 3.0.0)
 Remotes:
     mrc-ide/dust2

R/plotting.R

@@ -0,0 +1,132 @@
+plot_chains_ll <- function(samples) {
+  if (!requireNamespace("ggplot2", quietly = TRUE)) {
+    stop(
+      "Package \"ggplot2\" must be installed to use this function.",
+      call. = FALSE
+    )
+  }
+
+  n_pars <- dim(samples$par)[1]
+  n_samples <- dim(samples$par)[2]
+  n_chains <- dim(samples$par)[3]
+
+  plot_data <- data.frame( density = as.vector(samples$density),
+                           index = rep(1:n_samples, n_chains),
+                           chain = rep(1:n_chains, each = n_samples))
+
+  ggplot2::ggplot(plot_data) +
+    ggplot2::geom_line(ggplot2::aes(x = index, y = density, color = factor(chain)), size = 1) +
+    ggplot2::labs(title = "Log-likelihood density by chain",
+         x = "Sample index",
+         y = "Log-likelihood",
+         color = "Chain") +
+    ggplot2::theme_classic() +
+    ggplot2::theme(axis.text = ggplot2::element_text(size = 12),
+          axis.title = ggplot2::element_text(size = 14),
+          legend.title = ggplot2::element_text(size = 14),
+          plot.title = ggplot2::element_text(size = 16, face = "bold"))
+
+}
+
+plot_param_traj <- function(samples, one_panel = FALSE){
+  if (!requireNamespace("ggplot2", quietly = TRUE)) {
+    stop(
+      "Package \"ggplot2\" must be installed to use this function.",
+      call. = FALSE
+    )
+  }
+
+  n_pars <- dim(samples$par)[1]
+  n_samples <- dim(samples$par)[2]
+  n_chains <- dim(samples$par)[3]
+  param_names <- row.names(example_samples$pars)
+  plot_list <- list()
+
+  for(i in 1:length(param_names)){
+    hold_param_name <- param_names[i]
+    hold_samples <- samples$pars[i,,]
+    plot_data <- data.frame( value = as.vector(hold_samples),
+                             index = rep(1:n_samples, n_chains),
+                             chain = rep(1:n_chains, each = n_samples))
+
+    ggplot2::ggplot(plot_data) +
+      ggplot2::geom_line(ggplot2::aes(x = index, y = value, color = factor(chain)), linewidth = 1) +
+      ggplot2::labs(title = sprintf("Posterior samples for %s", hold_param_name),
+                    x = "Sample index",
+                    y = "Value",
+                    color = "Chain") +
+      ggplot2::theme_classic() +
+      ggplot2::theme(axis.text = ggplot2::element_text(size = 12),
+                     axis.title = ggplot2::element_text(size = 14),
+                     legend.title = ggplot2::element_text(size = 14),
+                     plot.title = ggplot2::element_text(size = 16, face = "bold")) -> plot
+
+    plot_list[[i]] <- plot
+  }
+  if(one_panel){
+    if (!requireNamespace("gridExtra", quietly = TRUE)) {
+      stop(
+        "Package \"gridExtra\" must be installed to return all trajectories on one panel.",
+        call. = FALSE
+      )
+    }
+    one_plot <- gridExtra::grid.arrange(grobs = plot_list, ncol = 2)
+    one_plot
+  }else{
+    plot_list
+  }
+}
+
+plot_param_posterior <- function(samples, one_panel = FALSE){
+  if (!requireNamespace("ggplot2", quietly = TRUE)) {
+    stop(
+      "Package \"ggplot2\" must be installed to use this function.",
+      call. = FALSE
+    )
+  }
+
+  n_pars <- dim(samples$par)[1]
+  n_samples <- dim(samples$par)[2]
+  n_chains <- dim(samples$par)[3]
+  param_names <- row.names(example_samples$pars)
+  plot_list <- list()
+
+  for(i in 1:length(param_names)){
+    hold_param_name <- param_names[i]
+    hold_samples <- samples$pars[i,,]
+    plot_data <- data.frame( value = as.vector(hold_samples),
+                             index = rep(1:n_samples, n_chains),
+                             chain = rep(1:n_chains, each = n_samples))
+
+    ggplot2::ggplot(plot_data, ggplot2::aes(x = value, group = factor(chain), color = factor(chain)) ) +
+      # Faint histogram in the background
+      ggplot2::geom_histogram(ggplot2::aes(y = ..density.., fill = factor(chain) ), color = NA, position = "identity", alpha = 0.3, bins = 30) +
+      # Density plot colored by "chain"
+      ggplot2::geom_density(size = 1) +
+      ggplot2::labs(title = sprintf("Posterior density for %s", hold_param_name),
+                    x = "Value",
+                    y = "Density",
+                    color = "Chain",
+                    fill = "Chain") +
+      ggplot2::theme_classic() +
+      ggplot2::theme(axis.text = ggplot2::element_text(size = 12),
+                     axis.title = ggplot2::element_text(size = 14),
+                     legend.title = ggplot2::element_text(size = 14),
+                     plot.title = ggplot2::element_text(size = 16, face = "bold")) -> plot
+
+    plot_list[[i]] <- plot
+  }
+  if(one_panel){
+    if (!requireNamespace("gridExtra", quietly = TRUE)) {
+      stop(
+        "Package \"gridExtra\" must be installed to return all trajectories on one panel.",
+        call. = FALSE
+      )
+    }
+
+    one_plot <- gridExtra::grid.arrange(grobs = plot_list, ncol = 2)
+    one_plot
+  }else{
+    plot_list
+  }
+}