multOutcomesLogistic: multOutcomesLogistic

In TaylorAndrew/atAnalyze: Methods for Iterative Analytical Reporting

Description

multOutcomesLogistic provides results for univariate binary logistic regression models for a single predictor and multiple outcomes.

Usage

multOutcomesLogistic(data, predictor, outcomes, predictorAsFactor = FALSE,
  rowwise = T, dec = 2, pdec = 3, verbose = TRUE)

Arguments

data	data.frame containing all data for analyses
predictor	Variable name for the predictor variable
outcomes	Vector of variable names for the outcome variables
predictorAsFactor	If TRUE, the predictor variable will be treated as a factor
rowwise	If TRUE, row-wise percents are provided in the case of categorical predictors
dec	Number of decimals to round descriptive
pdec	Number of decimals to round p-vales
verbose	Logical: should extra information be printed to the console

Value

A data.frame R object is returned

Examples

#NULL

TaylorAndrew/atAnalyze documentation built on May 9, 2019, 4:21 p.m.