R Under development (unstable) (2024-07-10 r86888 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(fitdistrplus) Loading required package: MASS Loading required package: survival > > visualize <- FALSE # TRUE for manual tests with visualization of results > > # (1) Plot various distributions fitted to bacterial contamination data > # > data(smokedfish) > Clog10 <- log10(smokedfish) > > fitsfn <- fitdistcens(Clog10,"norm") > fitsfl <- fitdistcens(Clog10,"logis") > > dgumbel <- function(x,a,b) 1/b*exp((a-x)/b)*exp(-exp((a-x)/b)) > pgumbel <- function(q,a,b) exp(-exp((a-q)/b)) > qgumbel <- function(p,a,b) a-b*log(-log(p)) > fitsfg <- fitdistcens(Clog10, "gumbel", start=list(a=-3,b=3)) > > cdfcompcens(list(fitsfn,fitsfl,fitsfg)) > cdfcompcens(list(fitsfn,fitsfl,fitsfg), fitlty=1, fitlwd=3) > > # Same plot in y logscale > cdfcompcens(list(fitsfn, fitsfl, fitsfg), NPMLE.method = "Turnbull", + ylogscale = TRUE, ylim=c(.5, .99)) Warning message: In cdfcompcens(list(fitsfn, fitsfl, fitsfg), NPMLE.method = "Turnbull", : Turnbull is now a deprecated option for NPMLE.method. You should use Turnbull.middlepoints of Turnbull.intervals. It was here fixed as Turnbull.middlepoints, equivalent to former Turnbull. > cdfcompcens(list(fitsfn, fitsfl, fitsfg), NPMLE.method = "Wang", + ylogscale = TRUE, ylim=c(.5, .99)) > > if (requireNamespace ("ggplot2", quietly = TRUE)) { + cdfcompcens(list(fitsfn,fitsfl,fitsfg), plotstyle = "ggplot") + cdfcompcens(list(fitsfn,fitsfl,fitsfg), plotstyle = "ggplot", fitlty=1, fitlwd=3) + cdfcompcens(list(fitsfn,fitsfl,fitsfg), datacol="grey", + legendtext=c("normal","logistic","Gumbel"), + main="bacterial contamination fits", + xlab="bacterial concentration (CFU/g)", ylab="F", + xlegend = "center", lines01 = TRUE, plotstyle = "ggplot") + + # Same plot in y logscale + cdfcompcens(list(fitsfn, fitsfl, fitsfg), NPMLE.method = "Wang", + ylogscale = TRUE, ylim=c(.5, .99), plotstyle = "ggplot") + } Warning messages: 1: In ggplot2::scale_y_continuous(trans = "log10") : log-10 transformation introduced infinite values. 2: In ggplot2::scale_y_continuous(trans = "log10") : log-10 transformation introduced infinite values. 3: In ggplot2::scale_y_continuous(trans = "log10") : log-10 transformation introduced infinite values. 4: In ggplot2::scale_y_continuous(trans = "log10") : log-10 transformation introduced infinite values. > > # Use of x logscale > if (visualize) + { + if(any(installed.packages()[,"Package"] == "actuar")) + { + require(actuar) + data(smokedfish) + fln <- fitdistcens(smokedfish,"lnorm") + fll <- fitdistcens(smokedfish,"llogis") + cdfcompcens(list(fln, fll)) + cdfcompcens(list(fln, fll), xlogscale = TRUE) + cdfcompcens(list(fln, fll), xlogscale = TRUE, xlim = c(0.01, 1000)) + cdfcompcens(list(fln, fll), NPMLE.method = "Turnbull", + xlogscale = TRUE, xlim = c(0.01, 1000)) + + if (requireNamespace ("ggplot2", quietly = TRUE)) { + cdfcompcens(list(fln, fll), plotstyle = "ggplot") + cdfcompcens(list(fln, fll), xlogscale = TRUE, plotstyle = "ggplot") + cdfcompcens(list(fln, fll), xlogscale = TRUE, xlim = c(0.01, 1000), plotstyle = "ggplot") + } + } + # same plot using argument add + cdfcompcens(fitsfn, addlegend = FALSE, fitcol = "red") + cdfcompcens(fitsfl, addlegend = FALSE, fillrect = NA, fitcol = "green", add = TRUE) + cdfcompcens(fitsfg, addlegend = FALSE, fillrect = NA, fitcol = "blue", add = TRUE) + + cdfcompcens(list(fitsfn, fitsfl, fitsfg), addlegend = FALSE, fitcol = 2:4, fitlty = 1, plotstyle = "ggplot") + cdfcompcens(list(fitsfn, fitsfl, fitsfg), addlegend = FALSE, fitcol = 2:4, fitlty = 1, plotstyle = "ggplot") + } > > # Test on the salinity data set > # > data(salinity) > log10LC50 <-log10(salinity) > plotdistcens(log10LC50) > plotdistcens(log10LC50, NPMLE = FALSE) > fn <- fitdistcens(log10LC50,"norm") > fl <- fitdistcens(log10LC50,"logis") > plot(fn) > plot(fl) > cdfcompcens(list(fn, fl)) > > if (requireNamespace("ggplot2", quietly = TRUE)) { + cdfcompcens(list(fn, fl), plotstyle = "ggplot") + } > > > proc.time() user system elapsed 3.71 0.37 4.03