On Fri, 11 Mar 2005, Christoph Lehmann wrote:
Hi
I have a data.frame with say 10 continuous variables and one grouping factor (say 3 levels)
how can I easily (without loops) apply for each continous variable e.g. an aov, with the grouping factor as my factor (or if the grouping factor has 2 levels, eg. a t-test)
You can call aov() or lm() with a multicolumn response variable.
summary(aov(cbind(y1,y2,y3)~factor(x),data=df))
Response y1 :
Df Sum Sq Mean Sq F value Pr(>F)
factor(x) 2 0.187 0.093 0.0735 0.9293
Residuals 27 34.326 1.271 Response y2 :
Df Sum Sq Mean Sq F value Pr(>F)
factor(x) 2 0.133 0.066 0.0497 0.9516
Residuals 27 36.107 1.337 Response y3 :
Df Sum Sq Mean Sq F value Pr(>F)
factor(x) 2 6.051 3.026 2.5605 0.09589 .
Residuals 27 31.903 1.182
---
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
-thomas
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