[R] combinatorics for minimal set of samples

[David Reiner]

Perhaps this blog post will be of use:

http://www.r-bloggers.com/generating-balanced-incomplete-block-designs-bibd/

HTH,
-- David


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of N.Hubner at ncmls.ru.nl
Sent: Friday, March 14, 2014 4:08 AM
To: r-help at r-project.org
Subject: [R] combinatorics for minimal set of samples

Dear all,



This is something for the combinatorics freaks amongst you (which I am certainly not :-).



I do the following problem to solve and was wondering if this can be easily done using R:



I have a set of, let's say, 10 variables: n(varibale) = 10

e.g. var <- c(a,b,c,d,e,f,g,h,i,j)



per experiment, I want to pick 4 variables

e.g. exp1 <- c(a,b,c,d), exp2 <- c(e,f,g,h), ...



each variable should be present in 4 different experiments



each varibale may co-occur in max. 2 experiments with another variable



Questions:



1) What is the number of minimal experiments that all of the above prerequisites are met?

2) Report a list of the combinations



It would be great to have a script that is flexible for all prerequisites.



Thanks a lot already in advance!



Nina





The Radboud University Medical Centre is listed in the Commercial Register of the Chamber of Commerce under file number 41055629.


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