Thank you, that took care of it!
Stephanie

On Mon, Nov 17, 2008 at 12:33 PM, Jorge Ivan Velez <jorgeivanvelez@gmail.com
> wrote:

>
> Dear Sephanie,
> Try the following:
>
> # Data set including some NA values
> set.seed(123)
> X=cbind(c(3, 2, 2, 1, 2, 5, 5, 4, 1, 1),matrix(rnorm(100),ncol=10))
> colnames(X)=c('day',paste('X',1:10,sep=""))
> X[2,2]<-X[5,10]<-X[3,8]<-NA
> X
>
> # mean excluding NA values
> # in parenthesis are the number of observations we used for the
> calculations
> noquote(apply(X[,-1],2,tapply,X[,1],function(x){
> mx=round(mean(x,na.rm=TRUE),4)
> used=sum(!is.na(x))
> paste(mx,"(",used,")",sep="")
> }))
>
>
> HTH,
>
> Jorge
>
>
> On Mon, Nov 17, 2008 at 2:51 PM, Stephanie Shaw <slshaw23@gmail.com>wrote:
>
>> Thank you very much for the suggestions, however I do not think they will
>> help. Please let me know if I misunderstand.
>>
>> 1) Just using "colSums" without the "(!is.na)" portion provides:
>>  Error in FUN(X[[1L]], ...) :
>>  'x' must be an array of at least two dimensions
>>
>>
>> 2) In that context, sum appears to add the values, not the number of
>> values.
>>
>> Thank you,
>> Stephanie
>>
>> On Fri, Nov 14, 2008 at 3:54 PM, jim holtman <jholtman@gmail.com> wrote:
>>
>> > Try something like this:
>> >
>> > amn <- tapply(a[,i], a[, 1], colSums, na.rm=TRUE))
>> >
>> > but since the result of the tapply is a vector, you can also use:
>> >
>> > amn <- tapply(a[,i], a[, 1],sum, na.rm=TRUE))
>> >
>> > On Fri, Nov 14, 2008 at 6:47 PM, Stephanie Shaw <slshaw23@gmail.com>
>> > wrote:
>> > > Hello,
>> > >
>> > > I am using tapply to pull out data by the day of week and then perform
>> > > functions (e.g. mean). I would like to have the number of values used
>> for
>> > > the calcuation for the functions, sorted by each day of week.  A
>> number
>> > of
>> > > entries in any given column are NAs.
>> > >
>> > > I have tried the following code and simple variants with no luck.
>> > >
>> > > for (i in 1:length(a[1,])){
>> > >  x<-tapply(a[,i],a[,1],mean, na.rm=TRUE)
>> > >  amn<-tapply(a[,i],a[,1],colSums(!is.na),na.rm=T)}
>> > > Adding an explicit argument to colSums(!is.na) {e.g. colSums(!is.na
>> > (a[,i]))}
>> > > produced an error that said colSums was not a function. Trying an
>> > > imbedded tapply instead of the colSums didn't work either. Using the
>> sum
>> > > function added the values, not the count of the values.
>> > >
>> > > Thank you for any suggestions,
>> > > Stephanie
>> > >
>> > >        [[alternative HTML version deleted]]
>> > >
>> > > ______________________________________________
>> > > R-help@r-project.org mailing list
>> > > https://stat.ethz.ch/mailman/listinfo/r-help
>> > > PLEASE do read the posting guide
>> > http://www.R-project.org/posting-guide.html<
>> http://www.r-project.org/posting-guide.html>
>> > > and provide commented, minimal, self-contained, reproducible code.
>> > >
>> >
>> >
>> >
>> > --
>> > Jim Holtman
>> > Cincinnati, OH
>> > +1 513 646 9390
>> >
>> > What is the problem that you are trying to solve?
>> >
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

	[[alternative HTML version deleted]]

