R Under development (unstable) (2024-07-10 r86888 ucrt) -- "Unsuffered Consequences"
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> library(fitdistrplus)
Loading required package: MASS
Loading required package: survival
> visualize <- FALSE # TRUE for manual tests with visualization of results
> 
> data(smokedfish)
> fitsf  <-  fitdistcens(smokedfish,"lnorm")
> plot(fitsf)
> qqcompcens(fitsf)
> qqcompcens(fitsf, fillrect = NA)
> qqcompcens(fitsf, fitcol = "black")
> qqcompcens(fitsf, fitcol = "black", fillrect = NA)
> qqcompcens(fitsf, ylim = c(0,150)) 
Warning message:
In qqcompcens(fitsf, ylim = c(0, 150)) :
  By default the same limits are applied to x and y axes.
            You should specify both if you want different x and y limits
> qqcompcens(fitsf, xlim = c(0,150)) 
Warning message:
In qqcompcens(fitsf, xlim = c(0, 150)) :
  By default the same limits are applied to x and y axes.
            You should specify both if you want different x and y limits
> qqcompcens(fitsf, xlim = c(0,150), ylim = c(0, 120)) 
> 
> if (requireNamespace("ggplot2", quietly = TRUE)) {
+   qqcompcens(fitsf, plotstyle = "ggplot")
+ }
> if (requireNamespace("ggplot2", quietly = TRUE) & visualize) {
+   qqcompcens(fitsf, fillrect = NA, plotstyle = "ggplot")
+   qqcompcens(fitsf, fitcol = "black", plotstyle = "ggplot")
+   qqcompcens(fitsf, fitcol = "black", fillrect = NA, plotstyle = "ggplot")
+   qqcompcens(fitsf, ylim = c(0,150), plotstyle = "ggplot")
+   qqcompcens(fitsf, xlim = c(0,150), plotstyle = "ggplot")
+   qqcompcens(fitsf, xlim = c(0,150), ylim = c(0, 120), plotstyle = "ggplot")
+ }
> 
> if (visualize)
+ {
+   data(fluazinam)
+   log10EC50 <-log10(fluazinam)
+   fln <- fitdistcens(log10EC50,"norm")
+   plot(fln)
+   qqcompcens(fln)
+   if (requireNamespace("ggplot2", quietly = TRUE)) {
+     qqcompcens(fln, plotstyle = "ggplot")
+   }
+   
+ }
> 
> data(salinity)
> log10LC50 <-log10(salinity)
> plotdistcens(log10LC50)
> plotdistcens(log10LC50, NPMLE = FALSE)
> fn <- fitdistcens(log10LC50,"norm")
> fl <- fitdistcens(log10LC50,"logis")
> plot(fn)
> plot(fl)
> qqcompcens(fn)
> qqcompcens(fl)
> qqcompcens(list(fn, fl))
> qqcompcens(list(fn, fl), fitlwd = c(5, 2))
> 
> if (requireNamespace("ggplot2", quietly = TRUE)) {
+   qqcompcens(list(fn, fl), plotstyle = "ggplot")
+   qqcompcens(list(fn, fl), plotstyle = "ggplot", fitlwd = c(5, 2))
+ }
> 
> if (requireNamespace("ggplot2", quietly = TRUE) & visualize) {
+   qqcompcens(fl, plotstyle = "ggplot")
+   qqcompcens(fn, plotstyle = "ggplot")
+   
+ }
> 
> 
> require(actuar)
Loading required package: actuar

Attaching package: 'actuar'

The following objects are masked from 'package:stats':

    sd, var

The following object is masked from 'package:grDevices':

    cm

> data(salinity)
> fln <- fitdistcens(salinity,"lnorm")
> fll <- fitdistcens(salinity,"llogis")
> plot(fln)
> par(mfrow = c(2,1))
> qqcompcens(fln)
> qqcompcens(fll)
> par(mfrow = c(1,1))
> qqcompcens(list(fln, fll))
> qqcompcens(list(fln, fll), ynoise = FALSE)
> qqcompcens(list(fln, fll), fitcol = c("blue", "orange"))
> qqcompcens(list(fln, fll), xlogscale = TRUE, ylogscale = TRUE)
> qqcompcens(list(fln, fll), ylogscale = TRUE) 
Warning message:
In qqcompcens(list(fln, fll), ylogscale = TRUE) :
  As a Q-Q plot should use the same scale on x and y axes, 
            both axes were put in a logarithmic scale.
> qqcompcens(list(fln, fll), xlogscale = TRUE, ynoise = FALSE) 
Warning message:
In qqcompcens(list(fln, fll), xlogscale = TRUE, ynoise = FALSE) :
  As a Q-Q plot should use the same scale on x and y axes, 
            both axes were put in a logarithmic scale.
> 
> if (requireNamespace("ggplot2", quietly = TRUE) & visualize) {
+   qqcompcens(list(fln, fll), plotstyle = "ggplot")
+   qqcompcens(list(fln, fll), ynoise = FALSE, plotstyle = "ggplot")
+   qqcompcens(list(fln, fll), fitcol = c("blue", "orange"), plotstyle = "ggplot")
+   qqcompcens(list(fln, fll), xlogscale = TRUE, ylogscale = TRUE, plotstyle = "ggplot")
+   qqcompcens(list(fln, fll), ylogscale = TRUE, plotstyle = "ggplot")
+   qqcompcens(list(fln, fll), xlogscale = TRUE, ynoise = FALSE, plotstyle = "ggplot")
+ }
> 
> proc.time()
   user  system elapsed 
   3.85    0.43    4.23