linear: Significant Cutoff Value for Linear Regression

In yikeshu0611/cutoff: Seek the Significant Cutoff Value

Description

Significant Cutoff Value for Linear Regression

Usage

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

Arguments

data	data
y	name for y
x	name for x
cut.numb	number of cutoff points
n.per	the least percentage of the smaller group comprised in all patients
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, beta of regression and p value.

Examples

linear(data=mtcars,y='qsec',x='disp',
       cut.numb=2,
       n.per=0.25)

linear(data=mtcars,y='qsec',x='disp',
       cut.numb=2,
       n.per=0.25,
       p.cut=0.05,
       strict=TRUE,
       include='low',
       round=2)
linear(data=mtcars,y='qsec',x='disp',
       cut.numb=2,
       n.per=0.25,
       p.cut=0.05,
       strict=FALSE,
       include='low',
       round=2)

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