R: plot squared residuals in inches to match the y-dimension
resid.squares
R Documentation
plot squared residuals in inches to match the y-dimension
Description
plot squared residuals in inches to match the y-dimension
Usage
resid.squares(x, y, y.hat, resid.plot = "square", ...)
Arguments
x
x values
y
observed y values
y.hat
predicted y values
resid.plot
If "square", then plot the
squared residuals. If TRUE (or anything else),
then plot straight lines for the residuals.
...
Other graphics arguments.
Details
The goal is to get real squares on the screen or paper.
The trick is to play games with the aspect ratio.
We find the number of inches that each vertical residual occupies.
We then find the number of x-units that corresponds to, and plot
a rectangle with height=height in the y-data units and with width=the
number of x-units that we just calculated.
Author(s)
Richard M. Heiberger <rmh@temple.edu>
References
Heiberger, Richard M. and Holland, Burt (2004b).
Statistical Analysis and Data Display: An Intermediate Course
with Examples in S-Plus, R, and SAS.
Springer Texts in Statistics. Springer.
ISBN 0-387-40270-5.
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)
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> 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/resid.squares.Rd_%03d_medium.png", width=480, height=480)
> ### Name: resid.squares
> ### Title: plot squared residuals in inches to match the y-dimension
> ### Aliases: resid.squares
> ### Keywords: models regression
>
> ### ** Examples
>
> data(hardness)
>
> hardness.lin.lm <- lm(hardness ~ density, data=hardness)
>
> plot(hardness ~ density, data=hardness, xlim=c(22,73), ylim=c(0,3400))
> abline(hardness.lin.lm)
> resid.squares(hardness$density, hardness$hardness,
+ predict(hardness.lin.lm))
>
> plot(hardness ~ density, data=hardness, xlim=c(22,73), ylim=c(0,3400))
> abline(hardness.lin.lm)
> resid.squares(hardness$density, hardness$hardness,
+ predict(hardness.lin.lm), resid.plot = "line")
>
>
>
>
>
> dev.off()
null device
1
>