logit: Significant Cutoff Value for Logistic Regression

In yikeshu0611/cutoff: Seek the Significant Cutoff Value

Description

Significant Cutoff Value for Logistic Regression

Usage

logit(data, y, x, cut.numb, n.per, y.per, p.cut = 0.05, strict = TRUE,
  include = "low", round = 2)

Arguments

data	data
y	name for y, must be coded as 1 and 0. The outcome must be 1
x	name for x
cut.numb	number of cutoff points
n.per	the least percentage of the smaller group comprised in all patients
y.per	the least percentage of the smaller outcome patients comprised in each group
p.cut	cutoff of p value, default is 0.05
strict	logical. TRUE means significant differences for each group combination were considered. FALSE means considering for any combination
include	direction of cutoff point. Any left letter of lower or upper
round	digital. Default is 2

Value

a dataframe contains cutoff points value, subject numbers in each group, dumb variable, or of regression and p value.

Examples

logit(data=mtcars,
      y='am',
      x='disp',
      cut.numb=1,
      n.per=0.25,
      y.per=0.25)
 logit(data=mtcars,
       y='am',
       x='disp',
       cut.numb=1,
       n.per=0.25,
       y.per=0.20,
       p.cut=0.05,
       strict=TRUE,
       include='low',
       round=2)

yikeshu0611/cutoff documentation built on Dec. 4, 2019, 6:26 a.m.