Seems rather straightforward to me. The prior="uniform" in discrim() says
to use equal prior for each group. You can do the same by explicitly
specifying the priors; e.g.,
x <- lda(admit ~ gpa + gmat, data=data.mm,
prior=1/nlevels(data.mm$admit))
HTH,
Andy
> From: Martin Willett
>
> I am trying to write the following code in R. The code works
> in S+ and i
> am trying to do the program in R.
>
> x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm)
>
> i wrote the following in R:
>
> x=lda(admit~gpa+gmat,data=data.mm)
>
> i could not figure out how to write prior=c("uniform") in R.
> I would get
> an error every time. I think that it has something to do
> with "uniform". Do you know what i use instead of "uniform"
> for R? I am
> trying to do a uniform distribution.
> Thank you.
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