On Wed, 23 Feb 2006, Peter Dalgaard wrote:
"Gabor Grothendieck" <ggrothendieck at gmail.com> writes:
Try this:
subset(iris, select = - Species)
Or, canonically,
nm <- names(iris)
iris[, nm != "Species" ]
iris[, -match("Species", nm)]
On 2/22/06, davidhughjones at gmail.com <davidhughjones at gmail.com> wrote:
I agree with the submitter that this needs some kind of solution.
Although data.frame[,-12] works, how do I drop a named column (the
most common use case)? (I found this bug while searching for an
answer.)
That code with match only works if "Species" is actually
a column of iris. If not, your result depends on whether
you have a data.frame (an error) or a matrix (a column
of NA's).
I found some mail in a 15 year old sent-mail file that suggested
allowing the tag 'except=' on any of the arguments to "[" to
replace/extend the limited negative integer convention. The idea was
that
iris[ except=c(10:20), except=c("Petal.Width","Petal.Length")) ]
would return all rows except 10:20 and all columns except
the ones named.
iris[ except=integer(0), ]
would return all rows of iris, while iris[-integer(0), ] returns
no rows of iris.
This abuses the tag= notation, but the "[" function doesn't
really support the i= and j= tags that some people expect.
This would take care of the problem that subset(data.frame,select=-name)
only lets you omit columns.
The mail had a version of [.data.frame (for Splus 2.1?) that
implemented this, although, if it is to be used it should be
implemented in the most primitive [ code so all methods use it.
From the language viewpoint, I think that using the same tag multiple