distLplot(dlf, nbest = 5, selection = NULL, order = FALSE, cdf = FALSE, log = FALSE, percentline = NA, percentargs = NULL, supportends = TRUE, breaks = 20, xlim = extendrange(dlf$dat, f = 0.15), ylim = NULL, xaxs = "i", yaxs = "i", xaxt, col = "grey", main, xlab, ylab, las = 1, coldist = berryFunctions::rainbow2(nbest), lty = 1, add = FALSE, logargs = NULL, legend = TRUE, legargs = NULL, histargs = NULL, qlines = FALSE, qheights = stats::quantile(par("usr")[3:4], 0.2), qrow = NULL, qlinargs = NULL, ...)
distLfit
, containing the elements dat, parameter, gof, datname, gofProp
dlf$parameter
that will be drawn. Overrides nbest. DEFAULT: NULLabline
. DEFAULT: NULLhist
breaks. DEFAULT: 20par
xaxt. "n" suppresses axis and numbers, which is used if loglogAxis
if log=TRUE
. DEFAULT: NULLlegend
be called? DEFAULT: TRUElegend
except for legend and col. DEFAULT: NULLdlf
does not contain the element quant
. DEFAULT: FALSEdlf$quant
that should be drawn instead of the nbest highest ranking distribution functions.
'GPD*' will select all the gpd fits, including gpa.
qheights and coldist must then accordingly have at least 13 elements (or will be recycled). DEFAULT: NULLlines
for qlines. DEFAULT: NULLlines
, like type, pch, ...distLfit
, distLextreme
# See distLfit and distLquantile
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