Hello all,
I'm almost embarrassed to post this , it seems so easy. Suppose I have a
baseline and follow up survey but some people are missing in the follow up:
> baseline<-data.frame(id=c(3,5,7,9,12), data= runif(5))
> follow.up<-data.frame(id=c(3,7,9,12), data= runif(4))
> baseline
id da
Hello all,
I was wondering if there is an R function to do the following:
[*] log(pnorm(x)-pnorm(y)), where x>y.
I don't want all the area under the natural log of the normal pdf less than
x, I only want the area between y and x.
I am aware of the ability to specify log.p=TRUE, which gives me th
tes.
>
> ?formula
>
>
> Cheers,
> Bert
>
>
> On Wed, Oct 5, 2011 at 12:37 PM, Ista Zahn wrote:
>
>> Hi Justin,
>>
>> On Wed, Oct 5, 2011 at 3:32 PM, justin jarvis
>> wrote:
>> > Hi all,
>> > I am running regressions with many co
Hi all,
I am running regressions with many covariates, most of which remain the same
each time (control variables). Instead of writing 30 demographic variables
every regression, is there a way I could call them all at once using a
variable called, perhaps "demog"?
I have tried:
> demog <- list(ag
at 4:54 AM, David Winsemius wrote:
>
> On Sep 19, 2011, at 8:49 PM, justin jarvis wrote:
>
> I have a data set with many missing observations. When I run a
>> regression, R of course discards the observations (the whole row) that
>> have "NA". I want to tabulate so
omething like Stata's e(sample), as far as I
can tell.
Justin Jarvis
PhD student, University of California, Irvine
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