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Access to column names stored in a vector in lm procedure
2 messages · mcnpf748 at mncn.csic.es, Gabor Grothendieck
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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