[R] macro facility in R
Gabor Grothendieck
ggrothendieck at gmail.com
Mon Jul 3 15:01:07 CEST 2006
Try this:
# test data
set.seed(1)
mat <- matrix(rnorm(900), nc = 9)
colnames(mat) <- letters[1:9]
DF <- as.data.frame(mat)
# run lm's and display coefs
for(i in seq(1, 5, 2)) {
dat <- cbind(z = DF[,i] - DF[,i+1], DF[7:9])
Coef <- coef(lm(z ~., dat))
cat("y: DF[,", i, "] - DF[,", i+1, "], coef: ", Coef, "\n")
}
On 7/3/06, John Sorkin <jsorkin at grecc.umaryland.edu> wrote:
> R 2.2 on windows XP
> I have a dataset with multiple columns. Some of the columns represent
> independent variables, some represent dependent variables. I would like
> to run the same analyses on a fixed set of independent variables,
> changing only the dependent variable, e.g.
> y1-y2=x1+x2+x3
> y3-y4=x1+x2+x3
> y5-y6=x1+x2+x3, etc.
> I know I can write a function to perform the analyses, however in order
> to make the analyses easy to do, I really need a macro scripting
> language that will allow preprocessing of the function and substitution
> of macro variables with parameters passed to the macro, i.e. I need
> someting akin to the macro facility in SAS. Is there a macro facility
> that I can use with R? I have tried help.search("macro") and did not
> have any success.
> Thanks,
> John
>
> John Sorkin M.D., Ph.D.
> Chief, Biostatistics and Informatics
> Baltimore VA Medical Center GRECC,
> University of Maryland School of Medicine Claude D. Pepper OAIC,
> University of Maryland Clinical Nutrition Research Unit, and
> Baltimore VA Center Stroke of Excellence
>
> University of Maryland School of Medicine
> Division of Gerontology
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
>
> 410-605-7119
> jsorkin at grecc.umaryland.edu
>
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