niceout: Elegant tables for regressions on multiply imputed data

In tim9800/bmemTOOLS: Project-specific functions for my honours thesis

Elegant tables for regressions on multiply imputed data

Description

Outputs nicely-formatted regression tables in html format, containing standardised and unstandardised regression coefficients with SEs, p values, t statistics, F statistics, R-squared and R-squared change for regression models.

Usage

niceout(
  mids,
  filename,
  outcome,
  predictors1,
  predictors2,
  predictors3 = NULL,
  filepath = NULL
)

Arguments

mids	mids object, a multiply-imputed dataset generated from mice
filename	character vector, specify the name of the file (without extension)
outcome	character vector, specifying the name of the response variable in the dataset
predictors1	character vector, predictors in Step 1 of regression
predictors2	character vector, predictors in Step 2 of regression
predictors3	(OPTIONAL) character vector, predictors in Step 3 of regression
filepath	string, specify full path to output directory in the format "~/directory/subdirectory/"

Examples

mids <- mice::mice(mice::nhanes, m=5, maxit=1)

niceout(mids,"Hierarchical_regression_1",
outcome = "hyp",
predictors1 = c("age", "bmi"),
predictors2 = c("age", "bmi","chl"),
filepath = "D:/Desktop/")

tim9800/bmemTOOLS documentation built on June 1, 2025, 10:08 p.m.