Try to give a vector result with one element for each of element of x,
e.g.
integrandtotest <- function(x) colSums(outer(t, x, "^"))
works, although in fact this integration can be done analytically (it is a
sum of exponentials).
On Fri, 16 Sep 2005, A.Brennan wrote:
> Hi
>
> i am having a problem with the 'integrate' function
> the function i want to integrate has the form
> sum(vector^x)
>
> i have defined the function with a for loop first -
> integrandtotest <- function(x)
> {a<-rep(0,len=2)
> for (i in 1:2)
> {a[i]<-t[i]^x}
> sum(a)
> }
>
> the results gives errors
> ###########
> Error in integrate(integrandtotest, lower = 0.1, upper = 2,
> subdivisions = 10000) :
> evaluation of function gave a result of wrong length
> In addition: Warning messages:
> 1: number of items to replace is not a multiple of replacement
> length
> 2: number of items to replace is not a multiple of replacement
> length
> #######
>
> I then tried a vector multiplication instead of the for loop
>
>
> integrandtotest3 <- function(x)
> {b<-c(t[1],t[2])
> a<-b^x
> sum(a)
> }
>
> which gave errors
> ########
> Error in integrate(integrandtotest3, lower = 0.1, upper = 2,
> subdivisions = 10000) :
> evaluation of function gave a result of wrong length
> In addition: Warning message:
> longer object length
> is not a multiple of shorter object length in: b^x
> ##########
>
> but when i write the functio out long-hand as follows:
>
> integrandtotest2 <- function(x)
> {t[1]^x+t[2]^x}
>
> the integrate function works perfectly.......
> ###
>> integralresulttotest2<-integrate(integrandtotest2, lower=0.1,
> upper=2, subdivisions=10000)
>> integralresulttotest2
> 1.642369 with absolute error < 1.8e-14
> ###
>
> Unfortunatley my real life example has the vector a with length at
> least 100.
>
> Is the any way round these errors?
>
> Many thanks for answers to my first question to this list
> yours
> Alan
>
>
>
> Alan Brennan
> Director of Health Economics and Decision Science
> http://www.shef.ac.uk/scharr/sections/heds
> ScHARR
> School of Health and Related Research
> University of Sheffield
> Regent Ct
> 30 Regent St
> Sheffield S1 4DA
> Tel:+44 (0)114 2220684
> Fax:+44 (0)114 2724095
> e-mail:[EMAIL PROTECTED]
>
> ______________________________________________
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>
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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