Create a summary table using multiple rows for grouping on two target column ideal for creating change from baseline tables

Usage

summary_table_by_targets(
  dt,
  target,
  treat,
  rows_by,
  indent = nbsp(n = 4L),
  .total_dt = NULL,
  pct_dec = 1,
  treat_order = NULL,
  skip_absent = TRUE
)

Arguments

dt: table to perform function on
target: vector of column names desired to obtain information on
treat: string of treatment variable used for splitting / grouping data
rows_by: string, grouping variable to split events by.
indent: indent to be used for display and formatting purposes
.total_dt: optional table for total counts to be derived
pct_dec: decimal places for percentages
treat_order: customise the column order of output table
skip_absent: Logical, default TRUE. Passed to data.table::setcolorder, if treat_order includes columns not present in dt, TRUE will silently ignore them, FALSE will throw an error.

Value

data.table

Examples

adlb <- random.cdisc.data::cadlb|>dplyr::filter(AVISIT != "SCREENING")
labs <- summary_table_by_targets(adlb, c('AVAL','CHG'), 'ARM', c('PARAM','AVISIT'), '  ', NULL)