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Just as a note, if you are going to convert a factor to numeric, the preferred idiom is: ## hypothetical numeric factor x <- factor(paste(10:15)) ## preferred method for conversion as.numeric(levels(x))[x] Cheers, Josh

On Tue, Nov 9, 2010 at 9:39 AM, Joshua Wiley <jwiley.psych at gmail.com> wrote: > Hi Kate, > > is.na() does not work on entire data frames. whoops, I did not mean that. is.na() has a data frame...

On Thu, Nov 24, 2011 at 9:23 AM, Joanne Lello <LelloJ at cardiff.ac.uk> wrote: > Dear all, > > I have been using the contrast library They're packages! [snip] For the sake of the good Martin Maechler, Josh -- Joshua...

On Sat, Sep 17, 2011 at 1:43 PM, Joshua Wiley <jwiley.psych at gmail.com> wrote: > Hi Eran, > > You have already gotten some suggestions from Michael, but I think > that Rich is correct to question the rational. ?Any mechanism...

On Fri, Jun 29, 2012 at 1:20 AM, Jessica Streicher <j.streicher at micromata.de> wrote: > Hm.. i attached a file with the code, but it doesn't show up somehow.. non text files are scrubbed, and only certain...

On Thu, Jun 6, 2013 at 9:05 AM, William Dunlap <wdunlap at tibco.com> wrote: > > I said the force was 'required' in the sense that without it > the function will fail to do what you want in some situations...

> with(YourDataFrame, tapply(`Effective Date`, `RULE COLUMNS`, > ?function(x) x[which.max(x)])) David pointed out that this will just return a table of dates. One work around is: do.call("rbind", by(DataFrame, DataFrame[, "RULE COLUMNS"], function(x) x...

I think what you have done should be fine. read.table() will return a data frame, which cor() can handle happily. For example: my.data <- read.table("file.csv", header = TRUE, row.names = 1, sep=",", strip.white = TRUE) # assign your...

On Fri, May 4, 2012 at 7:17 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 12-05-04 7:40 PM, Spencer Graves wrote: [snip] >> ? ? ? ?This is almost enough to drive a person to join the "I...

Okay, that might have been a little strong. "screams bloody murder" is a warning, not technically an error, and does not occur when simply running R CMD build. That said, the OP did mention using R CMD check and pdflatex...

btw, if you just wanted your exact code to work: t(as.matrix(aggregate(t(as.matrix(DF)),list(rep(1:1,each=2)),mean, na.rm=TRUE)[,-1])) You will get NaNs rather than NAs where you are missing...