better try it this way:
DF <- data.frame(y = rnorm(100), x = rchisq(100, df = 3))
m <- lm(y ~ x, DF)
predict(m, data.frame(x = seq(-13, 13, 0.5)))
I hope it helps.
Best,
Dimitris
On 8/16/2010 2:37 PM, Trafim Vanishek wrote:> Dear all,
>
> I have an error in the simple prediction function for lm().
> Maybe someone experienced the same?
>
> xma<- matrix(data = 0, nrow = 100, ncol = 2)
> xma[, 1]<- rnorm(100)
> xma[, 2]<- rchisq(100, df = 3)
>
> m1<- lm(xma[, 1] ~ xma[, 2])
> predict(m1, as.data.frame(seq(-13, 13, 0.5)))
>
>
> Thanks a lot,
> Trafim
>
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>
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--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
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