Part of the flowHistory system. The four statistics are 1-day maximum, annual mean, annual 7-day minimum, and the running standard deviation of the log daily discharge values.
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 Daily dataframe with the daily flow data, and an INFO dataframe with metadata. Each graph shows a loess smooth of the data that are plotted.
Usage
plotFour(eList, yearStart = NA, yearEnd = NA, printTitle = TRUE,
runoff = FALSE, qUnit = 1, window = 15, cex = 0.8, cex.axis = 1.2,
cex.main = 1.2, col = "black", lwd = 1, ...)Arguments
- eList
named list with at least Daily and INFO dataframes
- yearStart
A numeric value for year in which the graph should start, default is NA, which indicates that the graph should start with first annual value
- yearEnd
A numeric value for year in which the graph should end, default is NA, which indicates that the graph should end with last annual value
- printTitle
logical variable, if TRUE title is printed, if FALSE title is not printed, default is TRUE
- runoff
logical variable, if TRUE the streamflow data are converted to runoff values in mm/day
- qUnit
object of qUnit class
printqUnitCheatSheet, or numeric represented the short code, or character representing the descriptive name.- window
numeric which is the full width, in years, of the time window over which the standard deviation is computed, default = 15
- 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
- col
color of points on plot, see ?par 'Color Specification'
- lwd
number line width. Default is 1.
- ...
arbitrary graphical parameters that will be passed to genericEGRETDotPlot function (see ?par for options)
Examples
eList <- Choptank_eList
# \donttest{
#Water year:
plotFour(eList)
# Graphs consisting of Jun-Aug
eList <- setPA(eList,paStart=6,paLong=3)
plotFour(eList)
# }