warnings Print Warning Messages
Description
warnings and its print method print the variable last.warning in a pleasing form.
Usage
warnings(...)
## S3 method for class 'warnings'
summary(object, ...)
## S3 method for class 'warnings'
print(x, tags,
header = ngettext(n, "Warning message:\n", "Warning messages:\n"),
...)
## S3 method for class 'summary.warnings'
print(x, ...)
Arguments
... | arguments to be passed to |
object | a |
x | a |
tags | if not |
header | a character string |
Details
See the description of options("warn") for the circumstances under which there is a last.warning object and warnings() is used. In essence this is if options(warn =
0) and warning has been called at least once.
Note that the length(last.warning) is maximally getOption("nwarnings") (at the time the warnings are generated) which is 50 by default. To increase, use something like
options(nwarnings = 10000)
It is possible that last.warning refers to the last recorded warning and not to the last warning, for example if options(warn) has been changed or if a catastrophic error occurred.
Value
warnings() returns an object of S3 class "warnings", basically a named list.
summary(<warnings>) returns a "summary.warnings" object which is basically the list of unique warnings (unique(object)) with a "counts" attribute, somewhat experimentally.
Warning
It is undocumented where last.warning is stored nor that it is visible, and this is subject to change.
References
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
See Also
Examples
## NB this example is intended to be pasted in,
## rather than run by example()
ow <- options("warn")
for(w in -1:1) {
options(warn = w); cat("\n warn =", w, "\n")
for(i in 1:3) { cat(i,"..\n"); m <- matrix(1:7, 3,4) }
cat("--=--=--\n")
}
## at the end prints all three warnings, from the 'option(warn = 0)' above
options(ow) # reset to previous, typically 'warn = 0'
tail(warnings(), 2) # see the last two warnings only (via '[' method)
## Often the most useful way to look at many warnings:
summary(warnings())
op <- options(nwarnings = 10000) ## <- get "full statistics"
x <- 1:36; for(n in 1:13) for(m in 1:12) A <- matrix(x, n,m) # There were 105 warnings ...
summary(warnings())
options(op) # revert to previous (keeping 50 messages by default)
Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.