[R] Calculating p-values from your own distribution as an array

[Greg Snow]

Try this (replace the 0:9 with your values):

> distfun <- approxfun( c(-Inf,0:9), seq(0,1,length=length(0:9)+1), method='constant', rule=2)
> distfun( c(-1,0,3,3.4,4,12) )


Does that do what you want?

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Stephen Montgomery
> Sent: Friday, January 09, 2009 9:29 AM
> To: r-help at r-project.org
> Subject: [R] Calculating p-values from your own distribution as an
> array
> 
> Hi -
> 
> If I have a hypothetical distribution as an array
> 
> distribution<-c(0,1,2,3,4,5,6,7,8,9)
> 
> and I want to find the probability there is a value smaller than a new
> value.
> 
> new_value<-4
> 
> (such that I'd get this type of output)
> 
> new_value	p-value
> 4	0.5
> 3.4	0.4
> 3	0.4
> 0	0.1
> -1	0.0
> 
> Thanks for the help, I bet this is really easy... :/
> 
> Stephen
> 
> 
> --
>  The Wellcome Trust Sanger Institute is operated by Genome Research
>  Limited, a charity registered in England with number 1021457 and a
>  company registered in England with number 2742969, whose registered
>  office is 215 Euston Road, London, NW1 2BE.
> 
> ______________________________________________
> R-help at 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.