Data come from named list, which contains a Sample dataframe with the sample data, and an INFO dataframe with metadata.

Although there are a lot of optional arguments to this function, most are set to a logical default.

plotConcPred(eList, concMax = NA, logScale = FALSE, printTitle = TRUE,
  tinyPlot = FALSE, cex = 0.8, cex.axis = 1.1, cex.main = 1.1,
  customPar = FALSE, col = "black", lwd = 1, randomCensored = FALSE,
  usgsStyle = FALSE, ...)

Arguments

eList

named list with at least the Sample and INFO dataframes

concMax

number specifying the maximum value to be used on the vertical axis, default is NA (which allows it to be set automatically by the data)

logScale

logical, default TRUE, TRUE indicates x and y axes are on a log scale. FALSE indicates both x and y are on an arithmetic scale.

printTitle

logical variable if TRUE title is printed, if FALSE not printed (this is best for a multi-plot figure)

tinyPlot

logical variable, if TRUE plot is designed to be plotted small, as a part of a multipart figure, default is FALSE

cex

numerical value giving the amount by which plotting symbols should be magnified

cex.axis

magnification to be used for axis annotation relative to the current setting of cex

cex.main

magnification to be used for main titles relative to the current setting of cex

customPar

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.

col

color of points on plot, see ?par 'Color Specification'

lwd

number line width

randomCensored

logical. Show censored values as randomized.

usgsStyle

logical option to use USGS style guidelines. Setting this option to TRUE does NOT guarantee USGS compliance. It will only change automatically generated labels

...

arbitrary graphical parameters that will be passed to genericEGRETDotPlot function (see ?par for options)

See also

Examples

eList <- Choptank_eList # Water year: plotConcPred(eList)
# Graphs consisting of Jun-Aug eList <- setPA(eList, paStart=6,paLong=3) plotConcPred(eList)