iQuantile

Description

Produces indices in x of percentile steps by 1/breaks and respective percentiles.

Usage

iQuantile(x, breaks=15)

Arguments

Format

x

The function has two arguments: a list and numnber of breaks.

Details

iQuantile is used internally by the hlGOF.test.

Value

numeric

Author(s)

Joseph M. Hilbe, Arizona State University.

References

Hilbe, J. M. (2015), Practical Guide to Logistic Regression, Chapman & Hall/CRC.

Hilbe, J. M. (2009), Logistic Regression Models, Chapman & Hall/CRC.

Examples

library(LOGIT)
mod <- rnorm(100,0,1)
iQuantile(mod)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(LOGIT)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LOGIT/iQuantile.Rd_%03d_medium.png", width=480, height=480)
> ### Name: iQuantile
> ### Title: iQuantile
> ### Aliases: iQuantile
> ### Keywords: models
> 
> ### ** Examples
> 
> library(LOGIT)
> mod <- rnorm(100,0,1)
> iQuantile(mod)
$index
 [1]   1   7  13  20  27  33  40  47  53  60  67  73  80  87  93 100

$cuts
 [1] -2.67683101 -1.11328832 -0.92697097 -0.68225622 -0.43330932 -0.30098400
 [7] -0.10588500  0.02358238  0.14566164  0.21860849  0.40131306  0.55846804
[13]  0.93091853  1.21098445  1.46371656  2.28896162

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>