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#### -*- R -*-
##
## loop tests for aovRob plots
##
#Global
{
lawson.dat <- read.table(system.file("datasets", "lawson.tab",
package = "robust"),
header=TRUE)
aovRob.data <- lawson.dat
aovRob.formula <- y ~ .
TRUE
}
###########################################################
#1 test plot.lmRob
{
#make an lmRob object and start pdf device
temp <- aovRob(aovRob.formula, data = aovRob.data)
pdf("plot.aovRob.pdf")
TRUE
}
{
#Normal QQ-Plot of Residuals
class(try(plot(temp, which = 1))) != "Error"
}
{
#Estimated Kernel Density of Residuals
class(try(plot(temp, which = 2))) != "Error"
}
{
#Residuals vs Fitted Values
class(try(plot(temp, which = 3))) != "Error"
}
{
#Sqrt of abs(Residuals) vs Fitted Values
class(try(plot(temp, which = 4))) != "Error"
}
{
#Response vs Fitted Values
class(try(plot(temp, which = 5))) != "Error"
}
{
#Overlaid Normal QQ-Plot of Residuals
class(try(plot(temp, which = 6))) != "Error"
}
{
#Overlaid Estimated Density of Residuals
class(try(plot(temp, which = 7))) != "Error"
}
{
#Residual-Fit Spread
class(try(plot(temp, which = 8))) != "Error"
}
{
#All
class(try(plot(temp, which = 1:8))) != "Error"
}
{
#clean up and write to file
rm(temp)
dev.off()
TRUE
}
################################################################
#2 Test plot.fit.models with lmRob comparison
{
require("fit.models")
}
{
#make a fit.models object and start pdf device
temp <- fit.models(list(Robust = "aovRob", LS = "aov"), aovRob.formula, data = aovRob.data)
pdf("plot.fit.models.aov.both.pdf")
TRUE
}
{
#Normal QQ-Plot of Residuals
class(try(plot(temp, which = 1))) != "Error"
}
{
#Estimated Kernel Density of Residuals
class(try(plot(temp, which = 2))) != "Error"
}
{
#Residuals vs Fitted Values
class(try(plot(temp, which = 3))) != "Error"
}
{
#Sqrt of abs(Residuals) vs Fitted Values
class(try(plot(temp, which = 4))) != "Error"
}
{
#Response vs Fitted Values
class(try(plot(temp, which = 5))) != "Error"
}
{
#Overlaid Normal QQ-Plot of Residuals
class(try(plot(temp, which = 6))) != "Error"
}
{
#Overlaid Estimated Density of Residuals
class(try(plot(temp, which = 7))) != "Error"
}
{
#Residual-Fit Spread
class(try(plot(temp, which = 8))) != "Error"
}
{
#All
class(try(plot(temp, which = 1:8))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
TRUE
}
############################################################
#3 Test plot.fit.models with aovRob only
{
#make a fit.models object and start pdf device
temp <- fit.models(list(Robust = "aovRob"), aovRob.formula, data = aovRob.data)
pdf("plot.fit.models.aovRob.only.pdf")
TRUE
}
{
#Normal QQ-Plot of Residuals
class(try(plot(temp, which = 1))) != "Error"
}
{
#Estimated Kernel Density of Residuals
class(try(plot(temp, which = 2))) != "Error"
}
{
#Residuals vs Fitted Values
class(try(plot(temp, which = 3))) != "Error"
}
{
#Sqrt of abs(Residuals) vs Fitted Values
class(try(plot(temp, which = 4))) != "Error"
}
{
#Response vs Fitted Values
class(try(plot(temp, which = 5))) != "Error"
}
{
#Overlaid Normal QQ-Plot of Residuals
class(try(plot(temp, which = 6))) != "Error"
}
{
#Overlaid Estimated Density of Residuals
class(try(plot(temp, which = 7))) != "Error"
}
{
#Residual-Fit Spread
class(try(plot(temp, which = 8))) != "Error"
}
{
#All
class(try(plot(temp, which = 1:8))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
TRUE
}
#################################################################
#4 Test plot.fit.models with lm only
{
#make a fit.models object and start pdf device
temp <- fit.models(list(LS = "aov"), aovRob.formula, data = aovRob.data)
pdf("plot.fit.models.aov.only.pdf")
TRUE
}
{
#Normal QQ-Plot of Residuals
class(try(plot(temp, which = 1))) != "Error"
}
{
#Estimated Kernel Density of Residuals
class(try(plot(temp, which = 2))) != "Error"
}
{
#Residuals vs Fitted Values
class(try(plot(temp, which = 3))) != "Error"
}
{
#Sqrt of abs(Residuals) vs Fitted Values
class(try(plot(temp, which = 4))) != "Error"
}
{
#Response vs Fitted Values
class(try(plot(temp, which = 5))) != "Error"
}
{
#Overlaid Normal QQ-Plot of Residuals
class(try(plot(temp, which = 6))) != "Error"
}
{
#Overlaid Estimated Density of Residuals
class(try(plot(temp, which = 7))) != "Error"
}
{
#Residual-Fit Spread
class(try(plot(temp, which = 8))) != "Error"
}
{
#All
class(try(plot(temp, which = 1:8))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
TRUE
}
#####################################################
# Remove Globals
{
rm(aovRob.data)
rm(aovRob.formula)
TRUE
}
|
