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##
## loop tests for princompRob plots
##
#Global
{
data(wood, package = "robustbase")
princompRob.data <- wood[, 1:5]
T
}
###########################################################
#1 test plot.princompRob
{
#make a princompRob object and start pdf device
temp <- princompRob(data = princompRob.data, control = covRob.control(estim = "donostah"))
pdf("plot.princompRob.pdf")
T
}
{
#try plot.princompRob
class(try(plot(temp))) != "Error"
}
{
#clean up and write to file
rm(temp)
dev.off()
T
}
################################################################
#2 Test plot.fit.models with princompRob comparison
{
require("fit.models")
}
{
#make a fit.models object and start pdf device
temp <- fit.models(list(Robust = "princompRob", Classical = "princomp"), data = princompRob.data, control = covRob.control(estim = "donostah"))
pdf("plot.fit.models.princomp.both.pdf")
T
}
{
#Trellis of Component Scatter Plots: 2 models
class(try(plot(temp, which = 1))) != "Error"
}
{
#Loadings: 2 models
class(try(plot(temp, which = 2))) != "Error"
}
{
#Variances: 2 models
class(try(plot(temp, which = 3))) != "Error"
}
{
#All: 2 models
class(try(plot(temp, which = 1:3))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
T
}
############################################################
#3 Test plot.fit.models with princompRob only
{
#make a fit.models object and start pdf device
temp <- fit.models(list(Robust = "princompRob"), data = princompRob.data, control = covRob.control(estim = "donostah"))
pdf("plot.fit.models.princompRob.only.pdf")
T
}
{
#Trellis of Component Scatter Plots: Robust model
class(try(plot(temp, which = 1))) != "Error"
}
{
#Loadings: Robust model
class(try(plot(temp, which = 2))) != "Error"
}
{
#Variances: Robust model
class(try(plot(temp, which = 3))) != "Error"
}
{
#All: Robust model
class(try(plot(temp, which = 1:3))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
T
}
#################################################################
#4 Test plot.fit.models with princomp only
{
#make a fit.models object and start pdf device
temp <- fit.models(list(Classical = "princomp"), data = princompRob.data, control = covRob.control(estim = "donostah"))
pdf("plot.fit.models.princomp.only.pdf")
T
}
{
#Trellis of Component Scatter Plots: Classical model
class(try(plot(temp, which = 1))) != "Error"
}
{
#Loadings: Classical model
class(try(plot(temp, which = 2))) != "Error"
}
{
#Variances: Classical model
class(try(plot(temp, which = 3))) != "Error"
}
{
#All: Classical model
class(try(plot(temp, which = 1:3))) != "Error"
}
{
#clean up and write to file
dev.off()
rm(temp)
T
}
#####################################################
# Remove Globals
{
rm(princompRob.data)
T
}
|
