Description Usage Arguments Value See Also Examples
Perform RDA calculation for a AnalysisRegionResults
. Feature values will
be considered the matrix X and phenotypes the matrix Y. Adjusting for covariates
is done using a model matrix passed in covarsmodel.
1 2 3 4 5 6 7 8 9 10 |
set |
|
model |
Model matrix or formula to get model matrix from |
num_vars |
Numeric with the number of variables in the matrix for which the analysis will be performed. Compulsory if equation is not null. |
range |
|
betas |
If |
resultSet |
Should results be encapsulated in a |
num_permutations |
Numeric with the number of permutations run to compute the p-value. (Default: 1e4) |
... |
Further arguments passed to |
Object of class rda
or resultSet
1 2 3 4 5 6 | if (require(minfiData)){
set <- ratioConvert(mapToGenome(MsetEx[1:10,]))
model <- model.matrix(~set$age)
rda <- runRDA(set, model)
rda
}
|
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