quantify_means_of_subgroup: Quantify Means of Subgroup

In jjwillard/wfbmcphsr: WFBMC Public Health Sciences

Description

This function allows you to calculate mean and sd of a numeric variable by grouping and specific subgroup variable levels (ie. mean age of those belonging to subgroup 1 or 2 by levels of grouping variable)

Usage

quantify_means_of_subgroup(subgroup_m, mean_var, df, grouping_var,
  num_display = "PM", show_pval = TRUE, digits = 1)

Arguments

subgroup_m	Subgroup variable of interest (must be factor)
mean_var	Numeric variable from which to calculate mean and sd
df	Dataset containing covariates
grouping_var	Variable to group by (will be columns of table)
num_display	How should results be displayed? ('PM' for mean +- sd, 'PRS' for mean (sd))
show_pval	Logical. Should the p-value results be displayed?
digits	Number of digits to round decimals

Value

A data frame summarizing mean and sd of a numeric variable by grouping and specific subgroup variable levels

Examples

## Not run: 
quantify_means_of_subgroup(subgroup_m = Edu_4cat, mean_var = BMI, df = obpv_baseline,
grouping_var = obpv_quintile)

## End(Not run)

jjwillard/wfbmcphsr documentation built on May 14, 2019, 5:01 a.m.