# Shawn Gilroy, 2021 GPLv2+ # # demo/concurrentplot.R # # This file illustrates how to construct a collection of reversals that are # illustrated across participants using shared phase change lines # data <- Gilroyetal2021 describe("Concurrent Plot Style", { it("Should render as normal", { expect_no_error( scr_plot( data, aesthetics = var_map( x = Session, y = Responding, p = Condition, facet = Participant ), mai = c( 0.375, 0.375, 0.1, 0.1 ), omi = c( 0.25, 0.25, 0.25, 0.25 ) ) |> scr_xoverride( c(1, 25) ) |> scr_yoverride( list( "John" = list( y0 = 0, y1 = 20 ), "Anthony" = list( y0 = 0, y1 = 10 ), "Charles" = list( y0 = 0, y1 = 20 ) ), ydelta = 5 ) |> scr_points( cex = 2 ) |> scr_points( cex = 2, pch = 2, mapping = list( x = Session, y = Reinforcers ) ) |> scr_lines() |> scr_lines( lty = 2, mapping = list( x = Session, y = Reinforcers ) ) |> scr_label_phase( facet = "John", cex = 1.25, adj = 0.5, y = 20, labels = list( "Baseline" = list( x = 2 ), "FR-Lowest" = list( x = 5 ), "Baseline" = list( x = 8 ), "FR-Inelastic" = list( x = 11 ), "FR-Elastic" = list( x = 14 ), "FR-Inelastic" = list( x = 18 ) ) ) |> scr_label_facet( cex = 1.5, adj = 1, x = 25, labels = list( "John" = list( y = 5 ), "Anthony" = list( y = 12 ), "Charles" = list( y = 25 ) ) ) |> scr_plines_mbd(lines = list( "A" = list( "John" = list( x1 = 3.5, y1 = 20 ), "Anthony" = list( x1 = 3.5, y1 = 10 ), "Charles" = list( x1 = 3.5, y1 = 20 ) ), "B" = list( "John" = list( x1 = 6.5, y1 = 20 ), "Anthony" = list( x1 = 6.5, y1 = 10 ), "Charles" = list( x1 = 8.5, y1 = 20 ) ), "C" = list( "John" = list( x1 = 9.5, y1 = 20 ), "Anthony" = list( x1 = 9.5, y1 = 10 ), "Charles" = list( x1 = 11.5, y1 = 20 ) ), "D" = list( "John" = list( x1 = 12.5, y1 = 20 ), "Anthony" = list( x1 = 16.5, y1 = 10 ), "Charles" = list( x1 = 16.5, y1 = 20 ) ), "E" = list( "John" = list( x1 = 15.5, y1 = 20, y2 = 2 ), "Anthony" = list( x1 = 22.5, y1 = 10 ), "Charles" = list( x1 = 19.5, y1 = 20 ), "Sham" = list() ) )) |> scr_xlabel("Session") |> scr_ylabel("Frequency (Responses, Reinforcers Delivered)") |> scr_title("Individual Evaluations of Reinforcer Efficacy and Elasticity across Reinforcers") |> scr_legend( panel = "John", position = "topright", legend = c( "Responses Observed", "Reinforcers Produced" ), col = c( "black", "black" ), pt_bg = c( "black", "black" ), lty = c( 1, 2 ), pch = c( 19, 2 ), bg = c( "black", "black" ), bty = "n", pt_cex = 2.25, cex = 1.25, text_col = "black", horiz = FALSE, box_lty = 0 ) |> scr_save( name = tempfile("test1", fileext = ".svg"), format = "svg", units = "in", height = 6, width = 9 ) |> scr_save( name = tempfile("test2", fileext = ".png"), format = "png", units = "in", height = 6, width = 9 ) |> scr_save( name = tempfile("test3", fileext = ".tiff"), format = "tiff", units = "in", height = 6, width = 9 ) |> scr_save( name = tempfile("test4", fileext = ".pdf"), format = "pdf", units = "in", height = 6, width = 9 ) |> print() ) }) })