pred_simple: Create predictions for eigenvalues when there is no missing...
In danjlawson/pcapred: Produce PC Eigenvector Predictions From Plink Input Data And Loadings
Description
Usage
Arguments
Value
View source: R/mappingfunctions.R
Description
Make a genome-wide prediction based on complete data, which makes the computation faster
Usage
1
pred_simple(ndat, res, L, mode)
Arguments
ndat
normalised data matrix
res
snp weighting matrix
L
the number of SNPs
mode
either "flashpca" or "plink"
Value
A matrix of size N by K
danjlawson/pcapred documentation built on Oct. 7, 2021, 3:47 p.m.
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Description Usage Arguments Value
View source: R/mappingfunctions.R
Description
Make a genome-wide prediction based on complete data, which makes the computation faster
Usage
1 | pred_simple(ndat, res, L, mode)
|
Arguments
ndat |
normalised data matrix |
res |
snp weighting matrix |
L |
the number of SNPs |
mode |
either "flashpca" or "plink" |
Value
A matrix of size N by K
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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