do_count_comparison: Tabulate two separate Yes/No counts and merge together.

In LisaHopcroft/CTutils: Helpful Functions for Clinical Trial Data Analysis at SCTRU (Public Health Scotland)

Description

Perform two separate tabulation of Yes/No entries in one or more columns, for two separate groups. Then merge these groups based on a specific variable. Use this where Yes/No counts for the same measurements are done at different timepoints (e.g., planned invasive surgery and actual invasive surgery).

Usage

do_count_comparison(
  this_data,
  group1_variables,
  group1_column = "Yes",
  group1_name = "Group1",
  group2_variables,
  group2_column = "Yes",
  group2_name = "Group2",
  join_col = "variable",
  this_function = NA,
  key_for_variables = glossary.key
)

Arguments

this_data	The tibble in which the column exists.
group1_variables	The variable to use for the first group.
group1_column	The column of interest for the first group (default="Yes").
group1_name	The name of the first group (default="Group1").
group2_variables	The variable to use for the second group.
group2_column	The column of interest for the second group (default="Yes").
group2_name	The name of the second group (default="Group1").
join_col	The column to use to merge (default="variable").
this_function	A label for error/warning messages (by default it is the name of this function).
key_for_variables	Glossary to use for parameters.

Value

The merged summarised counts.

LisaHopcroft/CTutils documentation built on Oct. 7, 2021, 11:08 p.m.