On Sun, 20 Feb 2005, Melanie Vida wrote:
In R, I'm imported a data frame of 2,321,123 by 4 called "dataF".
I converted the data frame "dataF" to a matrix
dataM <- as.matrix(dataF)
I am assuming this is a numeric matrix, and "inf" means Inf and in places
that there are no NAs.
Does R have an effi
On Sat, 20 Feb 2005, Peter Dalgaard wrote:
Luke Tierney <[EMAIL PROTECTED]> writes:
For this specific case though, I _think_ the semantics we want is this:
eapply1 <- function(env, FUN, ..., all.names = FALSE) {
FUN <- match.fun(FUN)
lapply(.Internal(env2list(env, all.names)),
Melanie Vida mac.com> writes:
:
: In R, I'm imported a data frame of 2,321,123 by 4 called "dataF".
: I converted the data frame "dataF" to a matrix
:
: dataM <- as.matrix(dataF)
:
: Does R have an efficient routine to treat the special elements that
: contain "inf" in them. For example, can
In R, I'm imported a data frame of 2,321,123 by 4 called "dataF".
I converted the data frame "dataF" to a matrix
dataM <- as.matrix(dataF)
Does R have an efficient routine to treat the special elements that
contain "inf" in them. For example, can you separate the rows that have
"inf" elements fr
Hi,
The Rd file sceleton created using function _promptMethdos_ contains
*only* the
following fields:
name
docType
alias
title
description
section{Methods}
keyword
while _promptClass_ creates in addition fields like:
author
references
seealso
examples
and even is invalid due to:
~Make other
