Dear All,
This is to thank everybody for all their answers, I have really learn a lot from the answers.
I was trying to generate cost-effectiveness acceptability curve. The R codes I was referring to were:
========================================
ceac = c()
denom = length(effectiveness)
for (n in 1000) {
INB = effectiveness*n - cost
ProbCE = length(subset(INB, INB>=0))/denom
ceac = rbind(ceac, c(n, INB))
}
========================================
Thanks
Frank
reference:
Fenwick E, Marshall DA, Levy AR, Nichol G. Using and interpreting cost-effectiveness acceptability curves: an example using data from a trial of management strategies for atrial fibrillation. BMC Health Serv Res. 2006 Apr 19;6:52. (http://www.biomedcentral.com/1472-6963/6/52)
-------- Original Message --------
From: Neil Shephard <[email protected]>
Apparently from: [email protected]
To: [email protected]
Subject: Re: st: Stata and R
Date: Wed, 26 Aug 2009 15:53:20 +0100
> On Wed, Aug 26, 2009 at 3:44 PM, Nick Cox<[email protected]> wrote:
> > Nothing in R restricts the idea of length to time series.
> >
>
> Indeed, from ?length...
>
> length package:base R Documentation
>
> Length of an Object
>
> Description:
>
> Get or set the length of vectors (including lists) and factors,
> and of any other R object for which a method has been defined.
>
> Usage:
>
> length(x)
> length(x) <- value
>
> Arguments:
>
> x: an R object. For replacement, a vector or factor.
>
> value: an integer.
>
> Details:
> .....
>
>
> --
> "The combination of some data and an aching desire for an answer does
> not ensure that a reasonable answer can be extracted from a given body
> of data." ~ John Tukey (1986), "Sunset salvo". The American
> Statistician 40(1).
>
> Email - [email protected]
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