pcaCalculation: Principle Components Analysis
In chasemc/IDBacApp: MALDI-TOF MS Protien and Small Molecule Analysis
View source: R/fct_multidimensionalAnalyses.R
pcaCalculation R Documentation
Principle Components Analysis
Description
Principle Components Analysis
Usage
pcaCalculation(
dataMatrix,
logged = FALSE,
scaled = FALSE,
centered = FALSE,
missing = 0L
)
Arguments
dataMatrix
data as matrix, columns are variables and rows are samples
logged
should the matrix by log10 normalized?
scaled
NA
centered
NA
missing
Missing values should be replaced with...
Value
a single trimmed and binned MALDIquant peak object
chasemc/IDBacApp documentation built on Oct. 22, 2022, 2:52 a.m.
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View source: R/fct_multidimensionalAnalyses.R
| pcaCalculation | R Documentation |
Principle Components Analysis
Description
Principle Components Analysis
Usage
pcaCalculation( dataMatrix, logged = FALSE, scaled = FALSE, centered = FALSE, missing = 0L )
Arguments
dataMatrix |
data as matrix, columns are variables and rows are samples |
logged |
should the matrix by log10 normalized? |
scaled |
NA |
centered |
NA |
missing |
Missing values should be replaced with... |
Value
a single trimmed and binned MALDIquant peak object
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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