table_unweightedpctn: Compute unweighted percent and N for multiple variables,...

In lindsayevanslee/whomds: Calculate Results from WHO Model Disability Survey Data

Compute unweighted percent and N for multiple variables, disaggregated

Description

Compute unweighted percent and N for multiple variables, disaggregated

Usage

table_unweightedpctn(
  df,
  vars_demo,
  group_by_var = NULL,
  spread_by_group_by_var = FALSE,
  group_by_var_sums_to_100 = FALSE,
  add_totals = FALSE
)

Arguments

df	a data frame of individual survey data, where each row is an individual
vars_demo	a character vector of names of variables to calculate percent and N for
group_by_var	a string (length 1) with the name of the variable from df to disaggregate by
spread_by_group_by_var	logical determining whether to pass group_by_var to tidyr::pivot_wider() to give a wide-format tab. Default is FALSE.
group_by_var_sums_to_100	logical determining whether percentages sum to 100 along the margin of group_by_var, if applicable. Default is FALSE.
add_totals	logical determining whether to create total rows or columns (as appropriate) that demonstrate the margin that sums to 100. Default is FALSE.

Value

A tibble with percent and N for each level of each variable in vars_demo

See Also

Other table functions: table_basicstats(), table_weightedpct()

Examples

table_unweightedpctn(df_adults, vars_demo = c("sex", "age_cat", "work_cat", "edu_cat"))
table_unweightedpctn(df_adults, vars_demo = c("sex", "age_cat", "work_cat", "edu_cat"), 
group_by_var = "disability_cat")
table_unweightedpctn(df_adults, vars_demo = c("sex", "age_cat", "work_cat", "edu_cat"), 
group_by_var = "disability_cat", spread_by_group_by_var = TRUE)

lindsayevanslee/whomds documentation built on Sept. 9, 2023, 10:54 p.m.