Preliminary response diagnostics

Description

It takes takes the response vector and produces a histogram and QQ-plot. For discrete responses normalized and randomized QQ-plots are produced.

Usage

resp.check(y, margin = "N", bd = 1)

Arguments

Author(s)

Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk

Examples

library(SemiParSampleSel)

# Generating normal response with n = 2000
ys <- rnorm(2000, mean=3, sd=1)
resp.check(ys, margin = "N")

# Generating gamma response with n = 2000
ys <- rgamma(2000, shape=2, rate=3)
resp.check(ys, margin = "G")

# Generating Poisson response with n = 2000
ys <- rPO(2000, mu=3)
resp.check(ys, margin = "P")

# Generating negative binomial response with n = 2000
ys <- rNBI(2000, mu=3, sigma=1)
resp.check(ys, margin = "NB")

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(SemiParSampleSel)
Loading required package: copula
Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.8-12. For overview type 'help("mgcv-package")'.
Loading required package: mvtnorm
Loading required package: gamlss.dist
Loading required package: MASS

This is SemiParSampleSel 1.3.
For overview type 'help("SemiParSampleSel-package")'.

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SemiParSampleSel/resp.check.Rd_%03d_medium.png", width=480, height=480)
> ### Name: resp.check
> ### Title: Preliminary response diagnostics
> ### Aliases: resp.check
> 
> ### ** Examples
> 
> 
> library(SemiParSampleSel)
> 
> # Generating normal response with n = 2000
> ys <- rnorm(2000, mean=3, sd=1)
> resp.check(ys, margin = "N")
> 
> # Generating gamma response with n = 2000
> ys <- rgamma(2000, shape=2, rate=3)
> resp.check(ys, margin = "G")
> 
> # Generating Poisson response with n = 2000
> ys <- rPO(2000, mu=3)
> resp.check(ys, margin = "P")
> 
> # Generating negative binomial response with n = 2000
> ys <- rNBI(2000, mu=3, sigma=1)
> resp.check(ys, margin = "NB")
> 
> 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>