Compute Dropout Statistics

This is the second step in conducting dropout analysis with dropR. Outputs all necessary statistics to analyze and visualize dropout, such as the sample size N of the data (and in each condition if selected), cumulative dropout and remaining participants in absolute numbers and percent. If no experimental condition is added, the stats are only calculated for the whole data in total.

Usage

compute_stats(df, by_cond = "None", no_of_vars)

Arguments

df

data.frame containing variable do_idx from add_dropout_idx()

by_cond

character name of condition variable in the data, defaults to 'None' to output total statistics.

no_of_vars

numeric number of variables that contain questions

Value

A data frame with 6 columns (q_idx, condition, cs, N, remain, pct_remain) and as many rows as questions in original data (for overall data and if conditions selected again for each condition).

Examples

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