EGRET (version 2.3.0)

plotConcQ: Plot of Observed Concentration versus Discharge

Description

Data come from named list, which contains a Sample dataframe with the sample data, and an INFO dataframe with metadata. Discharge is plotted on a log scale. Although there are a lot of optional arguments to this function, most are set to a logical default.

Usage

plotConcQ(eList, qUnit = 2, tinyPlot = FALSE, logScale = FALSE,
  concMax = NA, concMin = NA, printTitle = TRUE, cex = 0.8,
  cex.axis = 1.1, cex.main = 1.1, rmSciX = FALSE, rmSciY = FALSE,
  customPar = FALSE, col = "black", lwd = 1, ...)

Arguments

eList

named list with at least the Sample and INFO dataframes

qUnit

object of qUnit class printqUnitCheatSheet, or numeric represented the short code, or character representing the descriptive name.

tinyPlot

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

logScale

logical if TRUE x and y plotted in log axis

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)

concMin

numeric value for lower limit on concentration shown on the vertical log graph, default is NA (which causes the lower limit to be set automatically, based on the data). This value is ignored for linear scales, using 0 as the minimum value for the concent

printTitle

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

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

rmSciX

logical defaults to FALSE, changes x label from scientific to fixed

rmSciY

logical defaults to FALSE, changes y label from scientific to fixed

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

...

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

See Also

selectDays, genericEGRETDotPlot

Examples

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