split_cols_by_multivar: Associate Multiple Variables with Columns

In rtables: Reporting Tables

Associate Multiple Variables with Columns

Description

In some cases, the variable to be ultimately analyzed is most naturally defined on a column, not a row basis. When we need columns to reflect different variables entirely, rather than different levels of a single variable, we use split_cols_by_multivar

Usage

split_cols_by_multivar(
  lyt,
  vars,
  split_fun = NULL,
  varlabels = vars,
  varnames = NULL,
  nested = TRUE,
  extra_args = list()
)

Arguments

lyt	layout object pre-data used for tabulation
vars	character vector. Multiple variable names.
split_fun	function/NULL. custom splitting function See custom_split_funs
varlabels	character vector. Labels for vars
varnames	character vector. Names for vars which will appear in pathing. When vars are all unique this will be the variable names. If not, these will be variable names with suffixes as necessary to enforce uniqueness.
nested	boolean. Should this layout instruction be applied within the existing layout structure if possible (TRUE, the default) or as a new top-level element ('FALSE). Ignored if it would nest a split underneath analyses, which is not allowed.
extra_args	list. Extra arguments to be passed to the tabulation function. Element position in the list corresponds to the children of this split. Named elements in the child-specific lists are ignored if they do not match a formal argument of the tabulation function.

Value

A PreDataTableLayouts object suitable for passing to further layouting functions, and to build_table.

Author(s)

Gabriel Becker

See Also

analyze_colvars()

Examples

library(dplyr)
ANL <- DM %>% mutate(value = rnorm(n()), pctdiff = runif(n()))

## toy example where we take the mean of the first variable and the
## count of >.5 for the second.
colfuns <- list(function(x) in_rows(mean = mean(x), .formats = "xx.x"),
                function(x) in_rows("# x > 5" = sum(x > .5), .formats = "xx"))

lyt <- basic_table() %>%
    split_cols_by("ARM") %>%
    split_cols_by_multivar(c("value", "pctdiff")) %>%
    split_rows_by("RACE", split_label = "ethnicity",
                  split_fun = drop_split_levels) %>%
    summarize_row_groups() %>%
    analyze_colvars(afun = colfuns)
lyt

tbl <- build_table(lyt, ANL)
tbl

rtables documentation built on Aug. 30, 2023, 5:07 p.m.