Description Usage Arguments Details Value Author(s) References See Also
Update the allocation of samples onto different conditions. This is a subfunction needed for updateDesign
, but is not directly used.
1 | conditionUpdate( condition.allocation, nTuple,bTwoColorArray )
|
condition.allocation |
a matrix with nCondition rows and nRIL columns. elements of 1/0 indicate this RIL (or strain) is/not selected for this condition. |
nTuple |
average number of RILs (or strains) to be assigned onto each condition |
bTwoColorArray |
binary variable indicating experiment type: |
This function will be used both in single and dual channel experiment design.
An updated condition.allocation
table.
Yang Li <yang.li@rug.nl>, Gonzalo Vera <gonzalo.vera.rodriguez@gmail.com>
Rainer Breitling <r.breitling@rug.nl>, Ritsert Jansen <r.c.jansen@rug.nl>
Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical
genomics: the added value from environmental perturbation, Trends Genet
(2008) 24:518-524.
Y. Li, M. Swertz, G. Vera, J. Fu, R. Breitling, and R.C. Jansen. designGG:
An R-package and Web tool for the optimal design of genetical genomics
experiments. BMC Bioinformatics 10:188(2009)
http://gbic.biol.rug.nl/designGG
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