Johannes,

You have the loop set up right, you just need to add indexing to refer to 
the looping variable, i.

lT <- sample(1:10)
uT <- sample(21:30)
X <- numeric(length(lT))

for (i in 1:length(lT)) X[i] <- runif(1, lT[i], uT[i])

X

Note that I changed the name of the result from T to X, because T has 
special meaning in R.

Jean

`·.,,  ><(((º>   `·.,,  ><(((º>   `·.,,  ><(((º>

Jean V. Adams
Statistician
U.S. Geological Survey
Great Lakes Science Center
223 East Steinfest Road
Antigo, WI 54409  USA



From:
"Johannes Radinger" <JRadinger@gmx.at>
To:
r-help@r-project.org
Date:
08/10/2011 07:23 AM
Subject:
[R] function runif in for loop
Sent by:
r-help-bounces@r-project.org



Hello,

I'd like to perform a regression using MCMCregress (MCMCpack).
One variable therefore should be a function rather than a variable:

I want to use X as an input and X should be defined as a random number 
between to values. Therefore I want to use the function runif like:
X <-(1, Xa, Xb) but it seems that runif doesn't allow to use vectors.
So I think I've to calculate the new vector X by using a for loop.

I tried "for (i in 1:length(lT)) T<-runif(1,lT,uT)" but that doesn't work.
What is the correct for-loop function to create this new vector/variable?

Can I use that function then as an input for MCMCregress?

thank you

Johannes

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