[R] Vector of quantiles

[Warnes, Gregory R]

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
	
	data:  x 
	D = 0.0192, p-value = 0.8568
	alternative hypothesis: two.sided 

See the ks.test help page for more details.

-Greg


> -----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 
> block!
> 
> 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
> Laura
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