R help - Jul 2012 - 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 (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 define FUN? The X are different for
each subject.
Thanks for any help

R.Heberto Ghezzo Ph.D.
Montreal - Canada

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" <heberto.ghezzo@mcgill.ca> wrote on
07/31/2012
03:33:40 PM:
> 
> 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 define FUN? The X are 
> different for each subject.
> Thanks for any help
> 
> R.Heberto Ghezzo Ph.D.
> Montreal - Canada
	[[alternative HTML version deleted]]

HI,

Not sure how your dataset looks like.

Is it something like this?

dat1<-data.frame(ID=rep(1:2,each=5),X1=rnorm(10,10),X2=rnorm(10,3),X3=runif(10,0.4),X4=runif(10,0.8),X5=c(10,7,8,10,15,9,6,5,4,2),
Y1=rnorm(10,25),Y2=rnorm(10,18),Y3=rnorm(10,35),
Y4=rnorm(10,45),Y5=rnorm(10,46))
I assume the IDs are subjects.? Then, for each subject, you want to calculate
lm(Y(i)~X1+X2+X3+X4+X5), where i= 1 to 5.

Anyway, it would be better to post 10-15 lines of your dataset using dput.?
Please post the output of : dput(head(data, 15)).

A.K.




----- Original Message -----
From: "R Heberto Ghezzo, Dr" <heberto.ghezzo at mcgill.ca>
To: "r-help at r-project.org" <r-help at 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 (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 define FUN? The X are different for each
subject.
Thanks for any help

R.Heberto Ghezzo Ph.D.
Montreal - Canada
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