[Rd] warnings --- wish/bug (PR#1148)
kjetilh@umsanet.edu.bo
kjetilh@umsanet.edu.bo
Fri, 26 Oct 2001 21:48:27 +0200 (MET DST)
An example with a local package:
> library(nonpar)
> chisq.gof( rnorm(80), distribution=pnorm)
Pearson Chi-square goodness of fit test
data: rnorm(80)
Chi-square = 19.1397, degrees of freedom = 11,
p-value = 0.05863
alternative hypothesis: true is not equal to pnorm ()
Warning message:
Minimum expected value is 2.61552251298291 <=5. Chi-square
approximation may be unsatisfactory in: chisq.gof(rnorm(80),
distribution = pnorm)
>
(where on the Rgui console (windows 98) the lines after "Warning
message"
extend out of sight)
Kjetil Halvorsen
Prof Brian D Ripley wrote:
>
> This is difficult. The internal warnings should work as often as
> possible without doing memory allocation, which might provoke an error
> (*and* we try to print out warnings after a memory allocation error).
> So strwrap is a no-no internally.
>
> I've not seen warnings that are not wrapped by the console
> (on Unix) or are scrollable (Rgui). Can you give us an example of the
> problem?
>
> Incidentally, I think you want to strwrap the ... too.
>
> On Fri, 26 Oct 2001 kjetilh@umsanet.edu.bo wrote:
>
> > When R prints warnings, they often go "out of the line", it would be
> > better if they where wrapped with
> > writeLines(strwrap ...
> >
> > I tried to do that , changing the function warnings, but it has only
> > effect when called explicitely, not when R prints the warnings unasked.
> >
> > Anyhow, here is the changed warnings:
> >
> > warnings <-
> > function (...)
> > {
> > if (!(n <- length(last.warning)))
> > return()
> > names <- names(last.warning)
> > cat("Warning message", if (n > 1)
> > "s", ":\n", sep = "")
> > for (i in 1:n) {
> > out <- if (n == 1)
> > names[i]
> > else paste(i, ": ", names[i], sep = "")
> > if (length(last.warning[[i]])) {
> > temp <- deparse(last.warning[[i]])
> > out <- paste(out, "in:", temp[1], if (length(temp) >
> > 1)
> > " ...")
> > }
> > writeLines(strwrap(out), ...)
> > }
> > }
> >
> >
> > Kjetil Halvorsen
> >
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> >
>
> --
> Brian D. Ripley, ripley@stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272860 (secr)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
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