dot-protein_imputePCA: Perform imputPCA on proteomics data
In a3609640/eIF4F.analysis: A R package to analyze eIF4F subunits in human cancers
.protein_imputePCA R Documentation
Perform imputPCA on proteomics data
Description
A helper function performs impute PCA on data generated by .get_df_subset().
It should not be used directly, only inside .plot_PCA_CPTAC_LUAD()
function.
Usage
.protein_imputePCA(df, number_of_dimension)
Arguments
df
CPTAC.LUAD.Proteomics.Sample.subset generated inside
.plot_PCA_CPTAC_LUAD()
number_of_dimension
maximum number of components kept in the final results
Value
imputed PCA results
See Also
Other helper function for PCA:
.RNAseq_PCA()
Examples
## Not run:
.protein_imputePCA(CPTAC.LUAD.Proteomics.Sample.subset)
## End(Not run)
a3609640/eIF4F.analysis documentation built on Jan. 2, 2023, 11:19 p.m.
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| .protein_imputePCA | R Documentation |
Perform imputPCA on proteomics data
Description
A helper function performs impute PCA on data generated by .get_df_subset().
It should not be used directly, only inside .plot_PCA_CPTAC_LUAD()
function.
Usage
.protein_imputePCA(df, number_of_dimension)
Arguments
df |
|
number_of_dimension |
maximum number of components kept in the final results |
Value
imputed PCA results
See Also
Other helper function for PCA:
.RNAseq_PCA()
Examples
## Not run: .protein_imputePCA(CPTAC.LUAD.Proteomics.Sample.subset) ## 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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