t_test_mi: t-test() on multiply-imputed data (accepts survey weights)

In LukasWallrich/timesaveR: Functions to Accelerate (Academic) Data Analysis and Reporting

t-test() on multiply-imputed data (accepts survey weights)

Description

This runs t-test (based on lm(), therefore assuming equal variances) on multiple imputations, with the ability to take into account survey weights.

Usage

t_test_mi(mi_list, dv, groups, weights = NULL)

Arguments

mi_list	A list of dataframes, each consisting of a multiply imputed dataset
dv	The dependent variable for the t.test (must be in mi_list)
groups	The grouping variable (must have only two values, be in mi_list)
weights	The variable containing survey weights, must be in mi_list

Value

A one-row tibble containing the result of the t-test

Examples

#Create list with imputed data
library(mice)
library(dplyr)
imp <- mice(nhanes2)
imp_list <- complete(imp, action="long") %>%
   dplyr::group_split(.imp)

t_test_mi(imp_list, bmi, hyp)

LukasWallrich/timesaveR documentation built on Nov. 29, 2024, 4:47 a.m.