replot sinusoid figures with larger fonts

examples/Sinusoid/calibrate.jl

@@ -115,6 +115,9 @@ p = plot(
     legend = :bottomright,
     xlims = (0, 6),
     ylims = (-6, 10),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
 )
 vline!([theta_true[1]], color = :red, style = :dash, label = :false)
 hline!([theta_true[2]], color = :red, style = :dash, label = :false)

examples/Sinusoid/emulate.jl

@@ -14,7 +14,7 @@
 # First, we load the packages we need:
 using LinearAlgebra, Random
 
-using Distributions, Plots
+using Distributions, Plots, Plots.PlotMeasures
 using JLD2
 
 using CalibrateEmulateSample
@@ -179,7 +179,15 @@ p2 = contour(
     ylabel = "Vertical Shift",
     title = "True Sinusoid Mean",
 )
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_groundtruth_contours.png"))
 # The first panel shows how the range varies with respect to the two parameters in the Gaussian process
 # emulator. The contours show the range is mostly dependent on the amplitude, with little variation with
@@ -212,7 +220,17 @@ p2 = contour(
     title = "GP Sinusoid Mean",
 )
 plot!(inputs[1, :], inputs[2, :]; seriestype = :scatter, zcolor = outputs[2, :], label = :false)
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    right_margin=3mm,
+    bottom_margin=3mm,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_GP_emulator_contours.png"))
 
 # Plot RF emulator contours
@@ -238,7 +256,17 @@ p2 = contour(
     title = "RF Sinusoid Mean",
 )
 plot!(inputs[1, :], inputs[2, :]; seriestype = :scatter, zcolor = outputs[2, :], label = :false)
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2, 
+    right_margin=3mm,
+    bottom_margin=3mm,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_RF_emulator_contours.png"))
 
 # Both the GP and RF emulator give similar results to the ground truth G(θ), indicating they are correctly
@@ -272,7 +300,17 @@ p2 = contour(
     ylabel = "Vertical Shift",
     title = "GP 1σ in Sinusoid Mean",
 )
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    size = (600, 300),
+    layout = (1, 2),
+    right_margin=3mm,
+    bottom_margin=3mm,
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_GP_emulator_std_contours.png"))
 
 
@@ -299,7 +337,15 @@ p2 = contour(
     ylabel = "Vertical Shift",
     title = "RF 1σ in Sinusoid Mean",
 )
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_RF_emulator_std_contours.png"))
 # The GP and RF uncertainty predictions are similar and show lower uncertainties around the region of interest
 # where we have more training points.
@@ -331,7 +377,15 @@ p2 = contour(
     ylabel = "Vertical Shift",
     title = "GP error in Sinusoid Mean",
 )
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_GP_errors_contours.png"))
 
 rf_diff_grid = abs.(rf_grid - g_true_grid)
@@ -357,7 +411,15 @@ p2 = contour(
     ylabel = "Vertical Shift",
     title = "RF error in Sinusoid Mean",
 )
-p = plot(p1, p2, size = (600, 300), layout = (1, 2))
+p = plot(
+    p1,
+    p2,
+    size = (600, 300),
+    layout = (1, 2),
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
+)
 savefig(p, joinpath(data_save_directory, "sinusoid_RF_errors_contours.png"))
 
 # Here, we want the emulator to show the low errors in the region around the true parameter values near θ = (3, 6),

examples/Sinusoid/sample.jl

@@ -172,9 +172,9 @@ plot_all = plot(
     layout = layout,
     size = (600, 600),
     legend = :true,
-    guidefontsize = 8,
-    tickfontsize = 6,
-    legendfontsize = 6,
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
 )
 
 savefig(plot_all, joinpath(data_save_directory, "sinusoid_MCMC_hist_GP.png"))
@@ -293,9 +293,9 @@ plot_all = plot(
     layout = layout,
     size = (600, 600),
     legend = :true,
-    guidefontsize = 8,
-    tickfontsize = 6,
-    legendfontsize = 6,
+    guidefontsize = 14,
+    tickfontsize = 12,
+    legendfontsize = 12,
 )
 
 savefig(plot_all, joinpath(data_save_directory, "sinusoid_MCMC_hist_RF.png"))

examples/Sinusoid/sinusoid_setup.jl

@@ -74,7 +74,15 @@ function generate_obs(amplitude_true, vert_shift_true, Γ; rng = Random.GLOBAL_R
     # Generate the "true" signal for these parameters
     signal_true = model(amplitude_true, vert_shift_true; rng = rng)
     # Plot
-    p = plot(signal_true, color = :black, linewidth = 3, label = "True signal")
+    p = plot(
+        signal_true,
+        color = :black,
+        linewidth = 3,
+        label = "True signal",
+        guidefontsize = 14,
+        tickfontsize = 12,
+        legendfontsize = 12,
+)
 
     # We will observe properties of the signal that inform us about the amplitude and vertical 
     # position. These properties will be the range (the difference between the maximum and the minimum),