iQuantile: iQuantile

In LOGIT: Functions, Data and Code for Binary and Binomial Data

Description

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

Usage

iQuantile(x, breaks=15)

Arguments

x	list
breaks	number of breaks

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)

Example output

$index
 [1]   1   7  13  20  27  33  40  47  53  60  67  73  80  87  93 100

$cuts
 [1] -2.47581225 -1.40997200 -1.19353450 -0.77327473 -0.49114423 -0.38533155
 [7] -0.25488799 -0.08930092  0.06462623  0.21364053  0.38572636  0.50977363
[13]  0.65211447  0.93774157  1.10527272  2.09655081

LOGIT documentation built on May 29, 2017, 10:26 a.m.