Plot Dropout Curves

This functions uses ggplot2to create drop out curves. Please note that you should use add_dropout_idx() and compute_stats() on your data before running this function as it needs a certain data structure and variables to work properly.

Usage

plot_do_curve(
  stats,
  linetypes = TRUE,
  stroke_width = 1,
  full_scale = TRUE,
  show_points = FALSE,
  color_palette = "color_blind",
  show_confbands = FALSE
)

Arguments

stats

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

linetypes

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

stroke_width

numeric stroke width, defaults to 1.

full_scale

boolean Should y axis range from 0 to 100? Defaults to TRUE, FALSE cuts off at min percent remaining (>0).

show_points

boolean Should dropout curves show individual data points? Defaults to FALSE.

color_palette

character indicating which color palette to use. Defaults to 'color_blind', alternatively choose 'gray' or 'default' for the ggplot2 default colors.

show_confbands

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

Value

The function returns a ggplot object containing the dropout curve plot. Using the Shiny App version of dropR, this plot can easily be downloaded in different formats.

See also

add_dropout_idx() and compute_stats() which are necessary for the proper data structure.

Examples

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

plot_do_curve(stats)