calcPCA: Principal Component Analysis.
In ctlab/phantasus: Visual and interactive gene expression analysis
calcPCA R Documentation
Principal Component Analysis.
Description
calcPCA calculates PCA-matrix for the given ExpressionSet
and returns this matrix encoded to JSON.
Usage
calcPCA(es, replacena = "mean")
Arguments
es
an ExpressionSet object, should be normalized
replacena
method for replacing NA values (mean by default)
Value
json with full description of the plot for plotly.js
Examples
## Not run:
data(es)
calcPCA(es)
## End(Not run)
ctlab/phantasus documentation built on Oct. 11, 2024, 4:11 p.m.
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| calcPCA | R Documentation |
Principal Component Analysis.
Description
calcPCA calculates PCA-matrix for the given ExpressionSet
and returns this matrix encoded to JSON.
Usage
calcPCA(es, replacena = "mean")
Arguments
es |
an ExpressionSet object, should be normalized |
replacena |
method for replacing NA values (mean by default) |
Value
json with full description of the plot for plotly.js
Examples
## Not run:
data(es)
calcPCA(es)
## End(Not run)
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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