hi netters
I have a rather simple question. I have a data frame with two variables X
and Y, both of which are factors. X has 100 levels while Y has 10 levels
only. The data frame has 100 rows in all, so for X the values are unique,
and Y has many replicate values. Now I wanna reduce the data
Hallo
On 30 May 2005 at 9:15, zhihua li wrote:
> hi netters
>
> I have a rather simple question. I have a data frame with two
Well, I do not understand you simple question fully. You have
something like that
dat<-data.frame(X=1:100, Y=sample(1:10,10))
dat$X<-factor(dat$X)
dat$Y<-factor(dat$Y
On Mon, May 30, 2005 at 09:15:32AM +, zhihua li wrote :
> hi netters
>
> I have a rather simple question. I have a data frame with two variables X
> and Y, both of which are factors. X has 100 levels while Y has 10 levels
> only. The data frame has 100 rows in all, so for X the values are u
On 5/30/05, Charles Plessy <[EMAIL PROTECTED]> wrote:
> On Mon, May 30, 2005 at 09:15:32AM +, zhihua li wrote :
> > hi netters
> >
> > I have a rather simple question. I have a data frame with two variables X
> > and Y, both of which are factors. X has 100 levels while Y has 10 levels
> > only
On 30 May 2005 at 21:56, Charles Plessy wrote:
> On Mon, May 30, 2005 at 09:15:32AM +, zhihua li wrote :
> > hi netters
> >
> > I have a rather simple question. I have a data frame with two
> > variables X and Y, both of which are factors. X has 100 levels while
> > Y has 10 levels only. T
On Mon, May 30, 2005 at 09:09:27AM -0400, Gabor Grothendieck wrote :
> Try using reshape, e.g. if dd is your data frame:
>
> reshape(dd, dir = "wide", idvar = "F1", timevar = "F2",
> varying = list(c("VX","VY")))
Thank you very much, and to Petr Pikal too. Reshape is exactly what I had
fo
