plotLfit  R Documentation 
Plot histogram and distribution densities or ecdf with cumulated probability
plotLfit( dlf, nbest = 5, selection = NULL, order = TRUE, rmse = 4, cdf = FALSE, log = FALSE, supportends = TRUE, breaks = 20, xlim = extendrange(dlf$dat, f = 0.15), ylim = NULL, col = "grey", main = paste(if (cdf) "Cumulated", "density distributions of", dlf$datname), xlab = dlf$datname, ylab = if (cdf) "(Empirical) Cumulated Density (CDF)" else "Probability Density Function (PDF)", las = 1, distcols = berryFunctions::rainbow2(nbest), lty = 1, add = FALSE, logargs = NULL, legend = TRUE, legargs = NULL, histargs = NULL, ... )
dlf 
List as returned by 
nbest 
Number of distributions plotted, in order of goodness of fit. DEFAULT: 5 
selection 
Names of distributions in 
order 
Logical: order legend and colors by RMSE, even if dlf$gof is unordered or selection is given? DEFAULT: TRUE 
rmse 
Integers. If rmse != 0, RMSE values are added to legend.
They are rounded to 
cdf 
If TRUE, plot cumulated DF instead of probability density. DEFAULT: FALSE 
log 
If TRUE, logAxis is called. Only makes sense if dlf$dat is already logarithmic and ranges eg. from 2 to 3. DEFAULT: FALSE 
supportends 
If TRUE, dots are placed at the support bounds. DEFAULT: TRUE 
breaks 

xlim, ylim 

col 

main, xlab, ylab 

las 
Label Axis Style for orientation of numbers along axes. DEFAULT: 1 
distcols 
Color for each distribution added with 
lty 
Line TYpe for plotted distributions. Recycled vector of length nbest. DEFAULT: 1 
add 
If TRUE, hist/ecdf is not called before adding lines. This lets you add lines highly customized one by one. DEFAULT: FALSE 
logargs 
List of arguments passed to 
legend 
Should 
legargs 
List of arguments passed to 
histargs 
List of arguments passed to 
... 
Further arguments passed to 
By default, this plots density instead of CDF, because the distributions are easier to discern and tail behavior is easier to judge visually. See also https://www.vosesoftware.com/ModelRiskHelp/index.htm#Presenting_results/Cumulative_plots/Relationship_between_cdf_and_density_(histogram)_plots.htm
invisible dlf object, see printL
Berry Boessenkool, berryb@gmx.de, Sept 2014
distLfit
, plotLquantile
# See distLfit
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