compare2qualvars: Comparison for columns of factors for 2 groups

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Comparison for columns of factors for 2 groups

Description

compare2qualvars computes fisher.test with simulated p-value and descriptive statistics for a group of categorical dependent variables.

Usage

compare2qualvars(
  data,
  dep_vars,
  indep_var,
  round_p = 3,
  round_desc = 2,
  pretext = FALSE,
  mark = FALSE,
  singleline = FALSE,
  spacer = " ",
  linebreak = "\n",
  p_subgroups = FALSE
)

Arguments

data	name of data set (tibble/data.frame) to analyze.
dep_vars	vector of column names for dependent variables.
indep_var	name of grouping variable, has to translate to 2 groups.
round_p	level for rounding p-value.
round_desc	number of significant digits for rounding of descriptive stats.
pretext	for function formatP.
mark	for function formatP.
singleline	Put all group levels in a single line?
spacer	Text element to indent levels and fill empty cells, defaults to " ".
linebreak	place holder for newline.
p_subgroups	test subgroups by recoding other levels into other, default is not to do this.

Value

A tibble with variable names, descriptive statistics, and p-value, number of rows is number of dep_vars.

Examples

compare2qualvars(
  data = mtcars, dep_vars = c("gear", "cyl", "carb"), indep_var = "am",
  spacer = " "
)
compare2qualvars(
  data = mtcars, dep_vars = c("gear", "cyl", "carb"), indep_var = "am",
  spacer = " ", singleline = TRUE
)
compare2qualvars(
  data = mtcars, dep_vars = c("gear", "cyl", "carb"), indep_var = "am",
  spacer = " ", p_subgroups = TRUE
)

wrappedtools documentation built on Sept. 24, 2023, 5:06 p.m.