summarize_all_subgroups: Summarize All Subgroups
In jjwillard/wfbmcphsr: WFBMC Public Health Sciences

Description Usage Arguments Value Examples

This function allows you to calculate mean and sd of a numeric variable by grouping and all subgroup variables of interest (ie. mean age of those belonging to subgroup 1 or 2 by levels of grouping variable, mean BMI of of those belonging to subgroup 1 or 2 by levels of grouping variable, etc.)

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summarize_all_subgroups(df, subgroups_m = NULL, mean_vars = NULL,
  num_display = "PM", subgroups_c = NULL, count_vars = NULL,
  count_display = "CP", grouping_var, show_pval = TRUE, digits = 1)

`df`	Dataset containing covariates of interest
`subgroups_m`	Vector of subgroup variables of interest (must be factors)
`mean_vars`	Vector of numeric variables from which to calculate mean and sd (must match vector position of corresponding subgroup variable)
`num_display`	How should results be displayed? ('PM' for mean +- sd, 'PRS' for mean (sd))
`subgroups_c`	Subgroup variable of interest (must be factor)
`count_vars`	Factor variable from which to calculate counts and proportions
`count_display`	How to display results: 'CP' = counts and proportions, 'C' = counts, 'P' = proportions (defaults to 'CP')
`grouping_var`	Variable to group by (will be columns of table)
`show_pval`	Logical. Should the p-value results be displayed?
`digits`	Number of digits to round decimals

A data frame summarizing mean and sd/count and proportion of a variable by grouping and all subgroup variables of interest

## Not run: 
# First create vectors of subgroups and calculation variables, positions must match
(ie. mean BMI of levels of Edu_4cat, mean age of levels of sub_senior, etc.)

subgroups_m <- c('Edu_4cat_m', 'sub_senior_m', 'female_m', 'race_black_m')
mean_vars <- c('BMI', 'age', 'sbp', 'BMI')

subgroups_c <- c('female_c', 'sub_senior_c')
count_vars <- c('depress', 'race_black')

# Then run function

summarize_all_subgroups(df = obpv_baseline, subgroups_m = subgroups_m, mean_vars = mean_vars,
num_display = 'PM', subgroups_c = subgroups_c, count_vars = count_vars, count_display = 'CP',
grouping_var = obpv_quintile, digits = 2)


## End(Not run)