This function produces a plot of the residuals from WRTDS, expressed in natural log concentration units versus the discharge shown on a log scale. The function also provides an alternative for viewing the standardized residuals, where the each residual is divided by its estimated standard error
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.
plotResidQ(eList, qUnit = 2, tinyPlot = FALSE, stdResid = FALSE, printTitle = TRUE, col = "black", lwd = 1, cex = 0.8, cex.axis = 1.1, cex.main = 1.1, rmSciX = FALSE, customPar = FALSE, randomCensored = FALSE, usgsStyle = FALSE, ...)
named list with at least the Sample and INFO dataframes
object of qUnit class
logical variable, if TRUE plot is designed to be plotted small as part of a multipart figure, default is FALSE.
logical variable, if TRUE it uses the standardized residual, if FALSE it uses the actual, default is FALSE
logical variable if TRUE title is printed, if FALSE not printed (this is best for a multi-plot figure)
color of points on plot, see ?par 'Color Specification'
number line width
numerical value giving the amount by which plotting symbols should be magnified
magnification to be used for axis annotation relative to the current setting of cex
magnification to be used for main titles relative to the current setting of cex
logical defaults to FALSE, changes x label from scientific to fixed
logical defaults to FALSE. If TRUE, par() should be set by user before calling this function (for example, adjusting margins with par(mar=c(5,5,5,5))). If customPar FALSE, EGRET chooses the best margins depending on tinyPlot.
logical. Show censored residuals as randomized.
logical option to use USGS style guidelines. Setting this option to TRUE does NOT guarantee USGS complience. It will only change automatically generated labels.
arbitrary graphical parameters that will be passed to genericEGRETDotPlot function (see ?par for options)
eList <- Choptank_eList # Water year: plotResidQ(eList)# Graphs consisting of Jun-Aug eList <- setPA(eList, paStart=6,paLong=3) plotResidQ(eList)