[R] Vector of quantiles
Warnes, Gregory R
gregory_r_warnes at groton.pfizer.com
Mon Oct 14 21:45:36 CEST 2002
You should be able to do
ks.test( x, "pchisq", df=9)
to do a KS test on data 'x' against a chi-square with 9 df. For example,
> x <- rchisq(1000,df=9)
> ks.test( x, "pchisq", df=9)
One-sample Kolmogorov-Smirnov test
D = 0.0192, p-value = 0.8568
alternative hypothesis: two.sided
See the ks.test help page for more details.
> -----Original Message-----
> From: Bayesianbay at aol.com [mailto:Bayesianbay at aol.com]
> Sent: Monday, October 14, 2002 1:11 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Vector of quantiles
> I have a quick question which is very simple but I seem to
> have a mental
> I'm using the pchisq function to specify a Chi Squared
> distribution with 9 df
> which I'm then going to use in the Kolmogorov-Smirnov Test to
> test some
> simulated values.
> so simply: pchisq(q, df=9)
> I know that q is the vector of quantiles but could anybody
> tell me what
> exactly this vector needs to contain?
> Many Thanks
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