mv_logit: Multivariable Logistic Regression

In fastStat: Faster for Statistic Work

Description

Multivariable Logistic Regression

Usage

mv_logit(data, y, x, direction = "no", summary = TRUE, ...)

Arguments

data	data
y	y varaible
x	variable names for univariable logistic regression. If missing, it will be column names of data except y and adjust
direction	direction for stepwise regression. Four options: no, backward, forward and both. Defaulted is no
summary	logical. Whether to return summary results. TRUE as defaulted
...	arguments passed to step() function

Value

multivariable logistic regression results

Examples

mv_logit(data = mtcars,y = 'am',
    variable = c('cyl','disp'))

fastStat documentation built on Jan. 13, 2021, 7:32 a.m.