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#' A box plot of WRTDS residuals by month
#'
#' @description
#' This function produces a boxplot of the residuals from WRTDS, expressed in natural log concentration units.
#' It provides an alternative for viewing the standardized residuals, where the each residual is divided by its estimated standard error.
#' The monthly boxplot widths are proportional to the square root of the sample size.
#' The residuals for a censored value are determined as the difference between the natural log of the average of the upper and lower.
#' bounds on the sample value, minus the log space estimate of concentration.
#'
#' Although there are a lot of optional arguments to this function, most are set to a logical default.
#'
#' Data come from named list, which contains a Sample dataframe with the sample data,
#' and an INFO dataframe with metadata
#'
#' @param eList named list with at least the Sample and INFO dataframes
#' @param stdResid logical variable, if TRUE it uses the standardized residual, if FALSE it uses the actual, default is FALSE
#' @param printTitle logical variable if TRUE title is printed, if FALSE not printed (this is best for a multi-plot figure)
#' @param tinyPlot logical variable, if TRUE plot is designed to be plotted small, as a part of a multipart figure, default is FALSE
#' @param cex numerical value giving the amount by which plotting symbols should be magnified
#' @param cex.axis magnification to be used for axis annotation relative to the current setting of cex
#' @param cex.main magnification to be used for main titles relative to the current setting of cex
#' @param font.main font to be used for plot main titles
#' @param customPar logical defaults to FALSE. If TRUE, par() should be set by user before calling this function
#' @param las numeric in {0,1,2,3}; the style of axis labels
#' @param randomCensored logical. Show censored residuals as randomized. Default = FALSE.
#' @param monthLab object of monthLabel class, or numeric represented the short code,
#' or character representing the descriptive name.
#' @param \dots arbitrary graphical parameters that will be passed to genericEGRETDotPlot function (see ?par for options)
#' @keywords graphics water-quality statistics
#' @seealso \code{\link[graphics]{boxplot}}
#' @export
#' @examples
#' eList <- Choptank_eList
#' # Water year:
#' boxResidMonth(eList)
#' # Graphs consisting of Jun-Aug
#' eList <- setPA(eList, paStart = 6, paLong = 3)
#' boxResidMonth(eList)
boxResidMonth <- function(eList,
stdResid = FALSE,
las = 1,
printTitle = TRUE,
cex = 0.8,
cex.axis = 1.1,
cex.main = 1.1,
font.main = 2,
tinyPlot = FALSE,
customPar = FALSE,
monthLab = 1,
randomCensored = FALSE,...) {
localINFO <- getInfo(eList)
localSample <- getSample(eList)
if(sum(c("paStart","paLong") %in% names(localINFO)) == 2){
paLong <- localINFO$paLong
paStart <- localINFO$paStart
} else {
paLong <- 12
paStart <- 10
}
if (is.numeric(monthLab)){
monthInfo <- monthInfo[shortCode=monthLab][[1]]
} else if (is.character(monthLab)){
monthInfo <- monthInfo[monthLab][[1]]
} else {
monthInfo <- monthLab
}
localSample <- if(paLong == 12) localSample else selectDays(localSample, paLong,paStart)
title2 <- if(paLong==12) "" else setSeasonLabelByUser(paStartInput=paStart,paLongInput=paLong)
if (tinyPlot){
if (!customPar) par(mar = c(4,5,1,0.1), cex.lab = cex.axis, mgp = c(2.5,0.5,0),tcl=0.5)
yLab <- if(stdResid) "Standardized Residuals" else "Residuals"
names <- monthInfo@monthSingle
} else {
if (!customPar) par(mar=c(5,6,4,2) + 0.1,cex.lab=cex.axis,mgp=c(3,1,0),tcl=0.5)
yLab <- if(stdResid) "Standardized Residuals in natural log units" else "Residuals in natural log units"
names <- monthInfo@monthAbbrev
}
plotTitle<-if(printTitle) paste(localINFO$shortName,"\n",localINFO$paramShortName,"\nBoxplots of residuals by month") else ""
if(!randomCensored){
resid<-log(localSample$ConcAve) - localSample$yHat
} else {
if(!("rResid" %in% names(localSample))){
eList <- makeAugmentedSample(eList)
localSample <- eList$Sample
}
resid <- localSample$rResid
}
if(stdResid) {
resid<- resid/localSample$SE
}
singleMonthList <- monthInfo@monthAbbrev
namesListFactor <- factor(singleMonthList, levels = singleMonthList)
monthList <- singleMonthList[localSample$Month]
monthList <- factor(monthList, namesListFactor)
boxplot(resid ~ monthList,
varwidth = TRUE,
xlab = "Month", ylab = yLab,
main = plotTitle,
names = names,
cex = cex,
cex.main = cex.main,
cex.axis = cex.axis,
las = las,
...)
abline(h = 0)
if (!tinyPlot) mtext(title2, side = 3, line = -1.5)
invisible(eList)
}
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