doPCA: Run a principal components analysis
In gbradburd/popgenstuff: Handy Functions for PopGen Analysis in R
Description
Usage
Arguments
Value
Description
Run a principal components analysis
Usage
1
doPCA(gt, nPCs = 4)
Arguments
gt
A genotype matrix with N rows and
L columns, where N is the number
of individuals and L is the number of
loci, for which the i,jth element
gives the number of the counted allele in each
individual at each locus.
nPCs
The number of principal component axes to retain.
Default is 4.
Value
A matrix with N rows and nPCs columns
giving the position of each of the N samples on
the first nPCs principal component axes.
gbradburd/popgenstuff documentation built on Oct. 16, 2021, 12:05 a.m.
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Description Usage Arguments Value
Description
Run a principal components analysis
Usage
1 | doPCA(gt, nPCs = 4)
|
Arguments
gt |
A genotype matrix with N rows and L columns, where N is the number of individuals and L is the number of loci, for which the i,jth element gives the number of the counted allele in each individual at each locus. |
nPCs |
The number of principal component axes to retain. Default is 4. |
Value
A matrix with N rows and nPCs columns
giving the position of each of the N samples on
the first nPCs principal component axes.
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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