Last data update: 2014.03.03
R: Extract and Visualize GWRM Model Residuals
residuals.gw R Documentation
Extract and Visualize GWRM Model Residuals
Description
residuals is a method which extracts model residuals from "gw"
, commonly returned by gw
function. Optionally, it produces a normal plot with a simulated envelope of the residuals.
Usage
## S3 method for class 'gw'
residuals(object, type = "pearson", rep = 19,
envelope = FALSE, title = "Simulated Envelope of Residuals",
trace = FALSE, parallel = TRUE, ncores = 2, ...)
Arguments
object
object of class "gw"
holding the fitted model
type
type of residuals to be extracted. Default is "pearson"
. "response"
and "deviance"
are also available. Deviance residuals are defined as 2[ln f(y_i|y_i)-ln f(widehat{μ}_i|y_i)] , so that their sum is the value of the deviance statistic.
rep
number of replications for envelope construction. Default is 19, that is the smallest 95 percent band that can be built.
envelope
a logical value to specify if the envelope is required.
title
a title for the envelope.
trace
if TRUE
a sort of information is printed during the running time.
parallel
if TRUE
use parallel executation.
ncores
is the number of cores that we use if parallel
is TRUE
.
...
further arguments passed to or from other methods.
Details
The usual Q-Q plot may show an unsatisfactory pattern of the residuals of a model fitted: then we are led to think that the model is badly specificated. The normal plot with simulated envelope indicates that under the distribution of the response variable the model is OK if only a few points fall off the envelope.
Value
Residuals values and plot
Examples
data(goals)
set.seed(1)
fit0 <- gw(goals ~ position, data = goals[sample(1:nrow(goals), 75), ])
residuals(fit0, type = "pearson", rep = 19, envelope = TRUE, trace = FALSE, ncores = 2)
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(GWRM)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GWRM/residuals.gw.Rd_%03d_medium.png", width=480, height=480)
> ### Name: residuals.gw
> ### Title: Extract and Visualize GWRM Model Residuals
> ### Aliases: residuals.gw
>
> ### ** Examples
>
> data(goals)
> set.seed(1)
> fit0 <- gw(goals ~ position, data = goals[sample(1:nrow(goals), 75), ])
> residuals(fit0, type = "pearson", rep = 19, envelope = TRUE, trace = FALSE, ncores = 2)
$type
[1] "pearson"
$residuals
[1] -0.68162114 -0.68162114 -0.68162114 -0.63174854 -0.63174854 -0.63174854
[7] -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.63174854
[13] -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.63174854
[19] -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.63174854 -0.59126094
[25] -0.59126094 -0.59126094 -0.59126094 -0.59126094 -0.59126094 -0.59126094
[31] -0.59126094 -0.59126094 -0.59126094 -0.59126094 -0.59126094 -0.59126094
[37] -0.59126094 -0.59126094 -0.50125061 -0.50125061 -0.32088008 -0.32088008
[43] -0.32088008 -0.24141410 -0.14050955 -0.14050955 -0.01610435 -0.01610435
[49] -0.01610435 -0.01610435 0.14892033 0.14892033 0.14892033 0.14892033
[55] 0.22023151 0.53925477 0.55905225 0.55905225 0.55905225 0.55905225
[61] 0.55905225 0.58097256 0.76134309 0.92958920 0.92958920 0.94171362
[67] 1.31992364 1.70936544 1.70936544 1.71025807 1.84356626 2.10059250
[73] 2.10059250 2.85967864 2.88126137
$sim.residuals
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[70,] 1.71025807 1.39230432 1.908554460 1.311119e+00 1.17549175
[71,] 1.84356626 2.00874814 2.162901654 1.331982e+00 2.10388613
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[74,] 2.85967864 2.95090686 2.622337985 3.361690e+00 3.04589816
[75,] 2.88126137 3.85791806 3.772455624 5.112422e+00 4.88906925
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[75,] 4.05389463 3.685151e+00 4.35544445 5.15685935 6.69484686 4.45012151
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[66,] 1.45570565 0.90609044 0.84118574 1.07045382 0.73772879 0.75834036
[67,] 1.45570565 1.21495020 0.84118574 1.34409270 0.78077957 0.75834036
[68,] 1.53519671 1.52890726 1.34395734 1.39439914 1.06777807 1.03502615
[69,] 1.79941764 1.53485139 1.50345005 1.39463523 1.46144053 1.03502615
[70,] 1.81839415 1.53485139 1.50345005 1.61415582 2.05792591 1.42724351
[71,] 2.06157984 1.84194385 1.83458220 1.61773158 2.14210149 1.76169508
[72,] 2.06157984 1.84923186 1.95464638 2.16500933 2.38797519 2.48589338
[73,] 2.83055361 2.15544067 3.15911082 2.43864821 3.52470555 3.05519061
[74,] 3.51797759 2.47799281 3.50274701 3.34011970 3.52470555 3.31380718
[75,] 3.56000580 3.69493165 4.15250728 3.72926382 3.70817231 4.77175926
[,18] [,19] [,20]
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[36,] -0.44621113 -0.43842621 -0.61119631
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[38,] -0.44621113 -0.34034003 -0.29679854
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[49,] -0.21192725 -0.17475763 0.06127248
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[75,] 5.26334189 4.43805058 3.88642345
attr(,"class")
[1] "residuals.gw"
>
>
>
>
>
> dev.off()
null device
1
>