Hey,
Doesn't this give you a ridiculous Type 1 error? Maybe randomly select one
result and trust it.
Try bestglm or stepwise regression maybe.
Hope that's helpful,
Ken Hutchison
On Oct 14, 2554 BE, at 12:39 AM, "C.H." <chainsawti...@gmail.com> wrote:
> This is one solution
>
> ?sapply
>
> sapply(data.frame(iris$Sepal.Length, iris$Sepal.Width,
> iris$Petal.Length, iris$Petal.Width), function(x)
> (summary(aov(x~iris$Species))))
>
>
>
> On Tue, Oct 11, 2011 at 5:10 PM, Joshua Wong <gryphonmonst...@yahoo.com>
> wrote:
>> Hi Guys,
>>
>> I have about 20 continous predictors and I want to do one-way anova to check
>> the significance of each variable against the dependent variable.
>> Apart from doing running the anova 20 times, is there a faster way?
>>
>> Thanks,
>> Joshua
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> CH Chan
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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and provide commented, minimal, self-contained, reproducible code.
