linear {cutoff} R Documentation

## Significant Cutoff Value for Linear Regression

### 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, adjust = 1)


### 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 adjust numeric value, adjust methord for p value. 1, defaulted, represents Bonferroni. 2 represent formula given by Douglas G in 1994

### 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)


[Package cutoff version 1.3 Index]