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Plot Most Extreme Conditions to Visualize Kolmogorov-Smirnov Test Results

Source: R/do_ks.R
plot_do_ks.Rd

With this function, you can easily plot the most extreme conditions, a.k.a. those with the most different dropout rates at a certain question. You need to define that question in the function call of do_ks() already, or just call that function directly inside the plot function.

Usage

plot_do_ks(
  do_stats,
  ks,
  linetypes = FALSE,
  show_confbands = FALSE,
  color_palette = c("#E69F00", "#CC79A7")
)

Arguments

do_stats

data.frame containing dropout statistics table computed by compute_stats(). Make sure your do_stats table contains a q_idx column indexing all question-items sequentially.

ks

List of results from the do_ks() function coding most extreme dropout conditions

linetypes

boolean Should different line types be used? Defaults to FALSE.

show_confbands

boolean Should there be confidence bands added to the plot? Defaults to FALSE.

color_palette

character indicating which color palette to use. Defaults to color blind friendly values, alternatively choose 'gray' or create your own palette with two colors, e.g. using R colors() or HEX-values

Value

Returns a ggplot object containing the survival curve plot of the most extreme dropout conditions. Using the Shiny App version of dropR, this plot can easily be downloaded in different formats.

See also

compute_stats(), do_ks()

Examples

do_stats <- compute_stats(add_dropout_idx(dropRdemo, 3:54), 
by_cond = "experimental_condition",
no_of_vars = 52)

ks <- do_ks(do_stats, 52)

plot_do_ks(do_stats, ks, color_palette = "gray")


# ... or call the do_ks() function directly inside the plotting function
plot_do_ks(do_stats, do_ks(do_stats, 30))


plot_do_ks(do_stats, ks, linetypes = TRUE, 
show_confbands = TRUE, color_palette = c("red", "violet"))