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)
> ppcompcens(fitsf)
> ppcompcens(fitsf, fillrect = NA)
> ppcompcens(fitsf, fitcol = "black")
> ppcompcens(fitsf, fitcol = "black", fillrect = NA)
> ppcompcens(fitsf, ylim = c(0.4,1)) 
Warning message:
In ppcompcens(fitsf, ylim = c(0.4, 1)) :
  By default the same limits are applied to x and y axes.
            You should specifiy both if you want different x and y limits
> ppcompcens(fitsf, xlim = c(0.4,1)) 
Warning message:
In ppcompcens(fitsf, xlim = c(0.4, 1)) :
  By default the same limits are applied to x and y axes.
            You should specifiy both if you want different x and y limits
> ppcompcens(fitsf, xlim = c(0.4,1), ylim = c(0,1)) 
> ppcompcens(fitsf, xlim = c(0.5,0.99), xlogscale = TRUE)
Warning messages:
1: In ppcompcens(fitsf, xlim = c(0.5, 0.99), xlogscale = TRUE) :
  As a Q-Q plot should use the same scale on x and y axes, 
            both axes were put in a logarithmic scale.
2: In ppcompcens(fitsf, xlim = c(0.5, 0.99), xlogscale = TRUE) :
  By default the same limits are applied to x and y axes.
            You should specifiy both if you want different x and y limits
> try(ppcompcens(fitsf, xlogscale = TRUE))
Error in ppcompcens(fitsf, xlogscale = TRUE) : 
  You must define the limits of axes using xlim or ylim in order 
           to use a logarithmic scale for a P-P plot with censored data.
In addition: Warning message:
In ppcompcens(fitsf, xlogscale = TRUE) :
  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)) {
+   ppcompcens(fitsf, plotstyle = "ggplot")
+ }
> if (requireNamespace("ggplot2", quietly = TRUE) & visualize) {
+   ppcompcens(fitsf, fillrect = NA, plotstyle = "ggplot")
+   ppcompcens(fitsf, fitcol = "black", plotstyle = "ggplot")
+   ppcompcens(fitsf, fitcol = "black", fillrect = NA, plotstyle = "ggplot")
+   ppcompcens(fitsf, ylim = c(0.4,1), plotstyle = "ggplot")
+   ppcompcens(fitsf, xlim = c(0.4,1), plotstyle = "ggplot")
+   ppcompcens(fitsf, xlim = c(0.4,1), ylim = c(0,1), plotstyle = "ggplot")
+   ppcompcens(fitsf, xlim = c(0.5,0.99), xlogscale = TRUE, plotstyle = "ggplot")
+ }
> 
> if (visualize)
+ {
+   data(fluazinam)
+   log10EC50 <-log10(fluazinam)
+   fln <- fitdistcens(log10EC50,"norm")
+   plot(fln)
+   if (requireNamespace("ggplot2", quietly = TRUE)) {
+     ppcompcens(fln, plotstyle = "ggplot")
+   }
+ }
> 
> data(salinity)
> log10LC50 <-log10(salinity)
> fn <- fitdistcens(log10LC50,"norm")
> fl <- fitdistcens(log10LC50,"logis")
> ppcompcens(list(fn, fl))
> ppcompcens(list(fn, fl), fitlwd = c(5, 2))
> 
> if (visualize)
+ {
+   plotdistcens(log10LC50)
+   plotdistcens(log10LC50, NPMLE = FALSE)
+   plot(fn)
+   plot(fl)
+   ppcompcens(fn)
+   ppcompcens(fl)
+   ppcompcens(list(fn, fl), ynoise = FALSE)
+   ppcompcens(list(fn, fl), xlogscale = TRUE, xlim = c(0.01, 0.6))
+ }
> 
> if (requireNamespace ("ggplot2", quietly = TRUE) ) {
+   ppcompcens(list(fn, fl), plotstyle = "ggplot", fitcol = "red")
+   ppcompcens(list(fn, fl), plotstyle = "ggplot", fitlwd = c(5, 2))
+ }
> 
> 
> if (requireNamespace ("ggplot2", quietly = TRUE) & visualize) {
+   ppcompcens(fn, plotstyle = "ggplot")
+   ppcompcens(fl, plotstyle = "ggplot")
+   ppcompcens(list(fn, fl), plotstyle = "ggplot", fitcol = "red")
+   ppcompcens(list(fn, fl), ynoise = FALSE, plotstyle = "ggplot")
+   ppcompcens(list(fn, fl), xlogscale = TRUE, xlim = c(0.01, 0.6), plotstyle = "ggplot")
+ }
> 
> proc.time()
   user  system elapsed 
   2.96    0.37    3.32