data <- Gilroyetal2019 set.seed(65535) data$Integrity <- sample( 80:100, nrow(data), replace = TRUE ) describe("FA Plot with Integrity", { it("Should render as normal", { expect_no_error( scr_plot( data, aesthetics = var_map( x = Session, y = CTB, p = Condition ), mai = c( 0.5, 0.5, 0.1, 0.5 ), omi = c( 0.25, 0.25, 0.25, 0.25 ) ) |> scr_yoverride(c(-.175, 5), yticks = c(0, 1, 2, 3, 4, 5), ytickslabs = c("0", "1", "2", "3", "4", "5") ) |> scr_xoverride(c(0.5, 15.5), xticks = 1:15, xtickslabs = as.character(1:15) ) |> scr_bar_support( mapping = list( x = Session, y = Integrity ), color = rgb(.8, .8, .8, alpha = 1), label = "Procedural Fidelity" ) |> scr_lines( size = 1 ) |> scr_points( cex = 2, pch = list( "Toy Play" = 16, "Attention" = 22, "Demand" = 24, "Tangible" = 8 ), fill = list( "Toy Play" = "black", "Attention" = "white", "Demand" = "white", "Tangible" = "black" ) ) |> scr_xlabel("Session") |> scr_ylabel("Combined Target Behavior (Per Minute)") |> scr_title("Analog Functional Analysis w/ Integrity Information") |> scr_legend( position = "right", # Specify legend location legend = c( "Toy Play", # labels to include (ordered) "Attention", "Demand", "Tangible" ), col = c( "black", # color of markers (ordered) "black", "black", "black" ), bg = "white", pt_bg = c( "black", # color of markers (ordered) "white", "white", "black" ), lty = c(1, 1, 1, 1), # line types (ordered) pch = c(16, 22, 24, 8), # marker types (ordered) bty = "o", # remove border pt_cex = 2.25, # point size scale cex = 1.25, # text size scale text_col = "black", # text color horiz = FALSE, # list items vertically box_lty = 1 ) |> print() ) }) })