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Last data update: 2014.03.03

R: Four types of residual plots for linear models.

lmplot

R Documentation

Four types of residual plots for linear models.

Description

Four types of residual plots for linear models. The first three are redesigns of plots that stats:::plot.lm presents. The first two show the positive residuals in col[2] and the negative residuals in color col[1]. The third and fourth use color col[1]. The fourth is based on an S-Plus panel that R doesn't provide.

Usage

lmplot(lm.object, ..., main=NULL,
       col=trellis.par.get("superpose.symbol")$col[1:2],
       ylim=NULL)

Arguments

`lm.object`	Linear model object. See `lm` for details.
`col`	Vector of color names. Only the first two are used. If not specified, then `trellis.par.get("superpose.symbol")$col[1:2]` is used.
`main`	standard `main` title for plots.
`ylim`	standard lattice argument. It is used as specified for the `residVSfitted`, `diagQQ`, and `diagplot5new` plots. For the `scaleLocation` plot, the `ylim` is modified to `c(0, max(abs(ylim)))`. The main reason for using the `ylim` argument is to allow visual comparison of the residuals for two different models on the same scale.
`...`	Other arguments, currently ignored.

Details

The trellis plots from the four functions residVSfitted, scaleLocation, diagQQ, diagplot5new are displayed on the current device in a coordinated display.

Value

A list of three trellis objects is returned invisibly, the first contains the result of residVSfitted and scaleLocation together. The second diagQQ, and the third diagplot5new.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

Examples

tmp <- data.frame(y=rnorm(100), x1=rnorm(100), x2=rnorm(100))
tmp.lm <- lm(y ~ x1 + x2, data=tmp)
lmplot(tmp.lm)

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.

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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> library(HH)
Loading required package: lattice
Loading required package: grid
Loading required package: latticeExtra
Loading required package: RColorBrewer
Loading required package: multcomp
Loading required package: mvtnorm
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS

Attaching package: 'TH.data'

The following object is masked from 'package:MASS':

    geyser

Loading required package: gridExtra
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HH/lmplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: lmplot
> ### Title: Four types of residual plots for linear models.
> ### Aliases: lmplot
> ### Keywords: dplot
> 
> ### ** Examples
> 
> tmp <- data.frame(y=rnorm(100), x1=rnorm(100), x2=rnorm(100))
> tmp.lm <- lm(y ~ x1 + x2, data=tmp)
> lmplot(tmp.lm)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>