[R] Applying a function to a vector

[Florent Bresson]

I just have a try with sapply. The problem is that my
function pbeta2 has two parameters z and p (wich is a
vector of two parameters). If I use sapply , R returns
a message incicating that parameter p is missing. It
is a problem since both z and p are varying along my
data.frame.

>Florent
>have a look at:
> help(sapply)


>On Mon, 31 Oct 2005, Florent Bresson wrote:

>> beta distribution of the second kind (the existing
>> beta distribution of th stats package is the beta
>> distribution of the first kind). It works perfectly
>> for a single value, but I want to apply it to a
vector
>> of 22 000 values. I can use a loop for the
calculation
>> of each value but it runs very very slowly.
>> So, what can I change ?
>>
>> Here's the function :
>> p <-  c(1,1)
>> y <-  1
>> z <-  1
>> truc  <-  function(y) 
{y^(p[1]-1)/(1+y)^(p[1]+p[2])}
>> pbeta2  <-  function(z,p)
>> 1/beta(p[1],p[2])*integrate(truc,0,z)$value
>>
>> machin <- pbeta2(vector,p) just return a single
value
>>
>> Thanks for your help
>>
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>>

>Paulo Justiniano Ribeiro Jr
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