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########## R function: plotGBlimsProc ##########
# For conducting limits processing for the plot.gamselBayes()
# function:
# Last changed: 21 JUL 2021
plotGBlimsProc <- function(xlim,ylim,numPanels)
{
if (numPanels>0)
{
if (!is.null(xlim)) # Check the legality of "xlim":
{
xlim <- as.matrix(xlim)
# Make sure that "xlim" has the correct number of columns:
if (ncol(xlim)!=2)
stop("If \"xlim\" is non-NULL then it must be a two-column matrix.\n")
# Make sure that "xlim" has the correct number of rows:
if (nrow(xlim)!=numPanels)
{
stopStr1 <- "If \"xlim\" is non-NULL then it must be a two-column matrix"
stopStr2 <- "with the number of rows equalling the number of predictors"
stopStr3 <- "estimated as having a non-linear effect. For the current fit"
stopStr4 <- paste("object this number is ",numPanels,".",sep="")
stop(paste(stopStr1,"\n",stopStr2,"\n",stopStr3,"\n",stopStr4,"\n",sep=""))
}
# Make sure that each row of "xlim" is ordered:
for (iPanel in 1:numPanels)
{
if ((!is.na(xlim[iPanel,1]))&(!is.na(xlim[iPanel,2])))
if (xlim[iPanel,2]<xlim[iPanel,1])
stop(paste("Row number ",iPanel," of \"xlim\" has unordered limits.\n",sep=""))
}
}
if (!is.null(ylim)) # Check the legality of "ylim":
{
ylim <- as.matrix(ylim)
# Make sure that "ylim" has the correct number of columns:
if (ncol(ylim)!=2)
stop("If \"ylim\" is non-NULL then it must be a two-column matrix.\n")
# Make sure that "ylim" has the correct number of rows:
if (nrow(ylim)!=numPanels)
{
stopStr1 <- "If \"ylim\" is non-NULL then it must be a two-column matrix"
stopStr2 <- "with the number of rows equalling the number of predictors"
stopStr3 <- "estimated as having a non-linear effect. For the current fit"
stopStr4 <- paste("object this number is ",numPanels,".",sep="")
stop(paste(stopStr1,"\n",stopStr2,"\n",stopStr3,"\n",stopStr4,"\n",sep=""))
}
# Make sure that each row of "ylim" is ordered:
for (iPanel in 1:numPanels)
{
if ((!is.na(ylim[iPanel,1]))&(!is.na(ylim[iPanel,2])))
if (ylim[iPanel,2]<ylim[iPanel,1])
stop(paste("Row number ",iPanel," of \"ylim\" has unordered limits.\n",sep=""))
}
}
}
# Return the processed inputs:
return(list(xlim=xlim,ylim=ylim))
}
############ End of plotGBlimsProc ############
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