[R] Access to column names stored in a vector in lm procedure

Gabor Grothendieck ggrothendieck at gmail.com
Sat Feb 3 13:44:30 CET 2007


You can regress multiple dependent variables at once by placing them
in a matrix.   For example, this regresses each of the first 4 columns of
the builtin iris dataset against Species, the last column:

iris4 <- as.matrix(iris[,-5])
summary(lm(iris4 ~ Species, iris))


On 2/2/07, mcnpf748 at mncn.csic.es <mcnpf748 at mncn.csic.es> wrote:
> Hello everybody
>
> I have to run many statistical tests that are identical, with the
> exception of the dependent variable. Is there a possibility to store the
> dependent variable names e.g. in a vector (in the below mentioned example
> called "variable") and to use the content of this vector in a simple
> statistical test (e.g. a regression). I would like to write the
> statistical procedure only once…
>
>
> For example: I would like to store 100 dependent variable names in a
> vector called "variable" and then I would like to do a simple regression
> with each of theses variables and the variable "length" using e.g. the
> while function. I would then extract e.g. the t-value and add it to a
> vector ("result") that contains all results. Something like that:
>
>
>
> "variable" should contain the names of the 100 dependent variables (Var1,
> Var2, … Var100)
>
> while(i<101){
> result<-c(result,coef(summary(lm(variable[i] ~ length, data = data2)))[2,4]);
> i<-i+1
> }
>
> This example does not work since the lm function does not recognize the
> dependent variable's name.
>
> Does somebody know how to store the names of the dependent variables in
> e.g. a vector and to make them available for the lm function?
>
> Many thanks
>
> Patrick
>
>
>
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