live coding sources

live_coding_sessions/bootstrap.jl

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+form = @formula(rt_trunc ~ 1 + spkr * prec * load +
+                          (1 + spkr * prec * load | subj) +
+                          (1 + spkr * prec * load | item))
+yolo = fit(MixedModel, form, kb07; contrasts, progress)

live_coding_sessions/intro_to_julia.jl

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+using Statistics
+
+v = [1, 2, 3]
+for i in v
+    println(i)
+end
+
+using DataFrames
+df = DataFrame(;a=[1,2],b=["a","b"])
+describe(df)
+
+select(df, :a)
+select(df, "a")
+
+select(df, a)
+a = "b"
+# select(df, a)
+transform(df, :a => ByRow(abs2) => :c)
+transform(df, :a => ByRow(abs2) => :a)
+transform(df, :a => ByRow(abs2); renamecols=false)
+
+combine(groupby(df, :b), :a => mean; renamecols=false)
+
+# column access
+df.a
+
+df[2, :]
+
+df[:, :a]
+
+# mutating variants
+transform(df, :a => ByRow(abs2) => :c)
+# this adds in the column to the original frame
+transform!(df, :a => ByRow(abs2) => :c)
+
+function square(x)
+    return x^2
+end
+
+square(x) = x^2 # like lambda in python
+
+function factor_name(x::AbstractString)
+    return x
+end
+
+function factor_name(x)
+    return string(x)
+end