Dear R-users
I have, say, 5 dependent variables, d1 to d5.
And I also have 2 independent variable x1, x2.
Suppose I need to do regression analyses for all
the dependent variables, using the same set
of independent variables, x1 and x2.
How can I do the analyses without writing five lines of
lm(d1~x1*x2)
lm(d2~x1*x2)
lm(d3~x1*x2)
lm(d4~x1*x2)
lm(d5~x1*x2)
I like to write the R codes something like
l <- c("d1","d2","d3","d4","d5")
for( i in l ) lm(i~x1*x2).
However, this does not work.
I hope you get the idea about what I want to do.
So, Could you help me.
Sincerely
---------------------------
Hiroto Miyoshi???????
h_m_ at po.harenet.ne.jp
how to do regression analysis for multiple dependent variables at once
3 messages · Hiroto Miyoshi, Jonathan Baron, Thomas Lumley
On 02/15/03 14:08, Hiroto Miyoshi wrote:
Dear R-users I have, say, 5 dependent variables, d1 to d5. And I also have 2 independent variable x1, x2. Suppose I need to do regression analyses for all the dependent variables, using the same set of independent variables, x1 and x2. How can I do the analyses without writing five lines of lm(d1~x1*x2) lm(d2~x1*x2) lm(d3~x1*x2) lm(d4~x1*x2) lm(d5~x1*x2)
lm(cbind(d1,d2,d3,d4,d5)~x1*x2) This is because the dependent variable in lm() can be a matrix instead of a vector. It says this in "In introduction to R" under "Formula for statistical models." But I could not find this in the help page for lm() or formula().
Jonathan Baron, Professor of Psychology, University of Pennsylvania R page: http://finzi.psych.upenn.edu/
On Sat, 15 Feb 2003, Jonathan Baron wrote:
lm(cbind(d1,d2,d3,d4,d5)~x1*x2) This is because the dependent variable in lm() can be a matrix instead of a vector. It says this in "In introduction to R" under "Formula for statistical models." But I could not find this in the help page for lm() or formula().
There's an allusion to it in describing the value returned by lm(), but I'll add an actual description. -thomas