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|
## -*- R -*-
## loop tests for covRob plots
##
#Global
{
the.data <- los
TRUE
}
###########################################################
#1 test plot.gammaRob
{
#make a gammaRob object and start pdf device
temp <- gammaRob(data = the.data)
pdf("plot.gamma.pdf")
TRUE
}
{
#plot.gammaRob
class(try(plot(temp))) != "Error"
}
{
#make a gammaMLE object
temp <- gammaMLE(data = the.data)
TRUE
}
{
#plot.gammaMLE
class(try(plot(temp))) != "Error"
}
{
require("fit.models")
}
{
#make a gamma fit.models object
temp <- fit.models(list(Robust = "gammaRob", MLE = "gammaMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a gamma fit.models object with only robust model
temp <- fit.models(list(Robust = "gammaRob"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a gamma fit.models object with only MLE model
temp <- fit.models(list(MLE = "gammaMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#clean up and write to file
rm(temp)
dev.off()
TRUE
}
#################################################################
#1 test plot.weibullRob
{
#make a weibullRob object and start pdf device
temp <- weibullRob(data = the.data)
pdf("plot.weibull.pdf")
TRUE
}
{
#plot.weibullRob
class(try(plot(temp))) != "Error"
}
{
#make a weibullMLE object
temp <- weibullMLE(data = the.data)
TRUE
}
{
#plot.weibullMLE
class(try(plot(temp))) != "Error"
}
{
#make a weibull fit.models object
temp <- fit.models(list(Robust = "weibullRob", MLE = "weibullMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a weibull fit.models object with only robust model
temp <- fit.models(list(Robust = "weibullRob"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a weibull fit.models object with only MLE model
temp <- fit.models(list(MLE = "weibullMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#clean up and write to file
rm(temp)
dev.off()
TRUE
}
#################################################################
#1 test plot.lognormRob
{
#make a lognormRob object and start pdf device
temp <- lognormRob(data = the.data)
pdf("plot.lognorm.pdf")
TRUE
}
{
#plot.lognormRob
class(try(plot(temp))) != "Error"
}
{
#make a lognormMLE object
temp <- lognormMLE(data = the.data)
TRUE
}
{
#plot.lognormMLE
class(try(plot(temp))) != "Error"
}
{
#make a lognorm fit.models object
temp <- fit.models(list(Robust = "lognormRob", MLE = "lognormMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a lognorm fit.models object with only robust model
temp <- fit.models(list(Robust = "lognormRob"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#make a lognorm fit.models object with only MLE model
temp <- fit.models(list(MLE = "lognormMLE"), data = the.data)
TRUE
}
{
#Overlaid Density Estimates
class(try(plot(temp, which = 1))) != "Error"
}
{
#Response vs Estimated Quantiles
class(try(plot(temp, which = 2))) != "Error"
}
{
#clean up and write to file
rm(temp)
dev.off()
TRUE
}
#################################################################
#Clean Global
{
rm(the.data)
TRUE
}
|
