MultiVerbose.Rd
Package: R.utils
Class MultiVerbose
Object
~~|
~~+--
Verbose
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MultiVerbose
Directly known subclasses:
public static class MultiVerbose
extends Verbose
A Verbose class ignoring everything.
This is a trial class.
MultiVerbose(verboseList=NULL, ...)
Methods:
as.list | - | |
writeRaw | - |
Methods inherited from Verbose:
as.character, as.double, as.logical, capture, cat, enter, enterf, equals, evaluate, exit, getThreshold, getTimestampFormat, header, isOn, isVisible, less, more, newline, off, on, popState, print, printWarnings, printf, pushState, ruler, setDefaultLevel, setThreshold, setTimestampFormat, str, summary, timestamp, timestampOff, timestampOn, writeRaw
Methods inherited from Object:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, names, objectSize, print, save
# Output to both standard output and to log file
stdoutLog <- Verbose(threshold=-1)
fileLog <- Verbose(file.path(tempdir(), "foo.log"), threshold=-1)
verbose <- MultiVerbose(list(stdoutLog, fileLog), threshold=-1)
header(verbose, "A verbose writer example", padding=0)
enter(verbose, "Analysis A")
for (kk in 1:10) {
printf(verbose, "step %d\n", kk)
if (kk == 2) {
cat(verbose, "Turning ON automatic timestamps")
timestampOn(verbose)
} else if (kk == 4) {
timestampOff(verbose)
cat(verbose, "Turned OFF automatic timestamps")
cat(verbose, "Turning OFF verbose messages for steps ", kk, "-6")
off(verbose)
} else if (kk == 6) {
on(verbose)
cat(verbose, "Turned ON verbose messages just before step ", kk+1)
}
if (kk %in% c(5,8)) {
enter(verbose, "Sub analysis ", kk)
for (jj in c("i", "ii", "iii")) {
cat(verbose, "part ", jj)
}
exit(verbose)
}
}
cat(verbose, "All steps completed!")
exit(verbose)
ruler(verbose)
cat(verbose, "Demo of some other methods:")
str(verbose, c(a=1, b=2, c=3))
print(verbose, c(a=1, b=2, c=3))
summary(verbose, c(a=1, b=2, c=3))
evaluate(verbose, rnorm, n=3, mean=2, sd=3)
ruler(verbose)
newline(verbose)