Hi,
maybe working with a data.frame in long format is an option - then you
can use e.g. lmList and so on up to mixed models, depending on your
final goals of analyses (e.g. check for differential slopes).
vmat<-matrix(c("X1","X2","X3","X4","Y1","Y2","Y3","Y4"),nrow=2,byrow=T)
aa.l<-reshape(aa,idva
"R Heberto Ghezzo, Dr" wrote on 08/01/2012
08:06:30 AM:
>
> Hello,
> I have a big data frame where consecutive time dates and
> corresponding observed values for each subject (ID) are on a line. I
> want to compute the linear slope for each subject. I would like to
> use apply but I do
> not k
Hi,
On Wed, Aug 1, 2012 at 9:06 AM, R Heberto Ghezzo, Dr
wrote:
> Hello,
> I have a big data frame where consecutive time dates and corresponding
> observed values for each subject (ID) are on a line. I want to compute the
> linear slope for each subject. I would like to use apply but I do
> no
Hello,
I have a big data frame where consecutive time dates and corresponding observed
values for each subject (ID) are on a line. I want to compute the linear slope
for each subject. I would like to use apply but I do
not know how to express the corresponding function. An example using a loop
f
Heberto Ghezzo, Dr"
To: "r-help@r-project.org"
Cc:
Sent: Tuesday, July 31, 2012 4:33 PM
Subject: [R] help with a regression
Hello, I have a data frame with the following variables:
ID, X1,X2,X3,X4,X5,Y1,Y2,Y3,Y4,Y5 and some other that do not matter, some of
the X and Y can be missing
Can you provide a small example data set?
Does the number after the X and Y indicate the subject?
Are you trying to come up with a single line of code to do this ... ?
lm(Y1 ~ X1, data=DF)
lm(Y2 ~ X2, data=DF)
...
lm(Y5 ~ X5, data=DF)
Jean
"R Heberto Ghezzo, Dr" wrote on 07/
Hello, I have a data frame with the following variables:
ID, X1,X2,X3,X4,X5,Y1,Y2,Y3,Y4,Y5 and some other that do not matter, some of
the X and Y can be missing (NA). I want to compute the slope of the linear
regression Y ~ X for each subject, so using
apply(DF,1,FUN,ra.rm=TRUE) now How do I de
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