On Sep 8, 2011, at 9:03 AM, Bos, Roger wrote:

I have a matrix called mat and y is the column number of my response and x is a vector of the column numbers of my terms. The variable name of y can change, so I don't want to hardcode it. I can find out the name as
follows:

          names(mat)[y]
[1] "er12.l"

Then I can run the regression by hard coding the variable name as
follows:

           mod <- try(rlm(er12.l ~ ., data=mat[zidx, c(y, x)]),
silent=TRUE)

But how would I do so without hard coding the name er12.l?

I set up a reproducible example. In the following my regression formula
is aa ~ bb + cc, or more simply aa ~ .
How can I use the name of the first column without hard coding aa?

dat <- data.frame(aa=runif(50), bb=runif(50), cc=runif(50))

"dep <- names(dat)[1]; indep <- names(dat)[2]

lm(aa ~ ., data=dat[1:10, c(dep,indep])



> dep <- names(dat)[1]; indep <- names(dat)[2]
> lm(aa ~ ., data=dat[1:10, c(dep,indep)])

Call:
lm(formula = aa ~ ., data = dat[1:10, c(dep, indep)])

Coefficients:
(Intercept)           bb
    0.58908      0.03389


Thanks,

Roger
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