pcaCalculation: Principle Components Analysis Given a data frame whose...
In chasemc/ghosts: Protein and small molecule analysis of bacteria by MALDI-TOF MS
Description
Usage
Arguments
Value
Description
Principle Components Analysis
Given a data frame whose columns are variables and rows are samples, run Principle Components Analysis (PCA)
Usage
1
2
pcaCalculation(dataMatrix, logged = FALSE, scaled = TRUE,
centered = TRUE, missing = 0)
Arguments
dataMatrix
NA
logged
NA
scaled
NA
centered
NA
missing
NA
Value
a single trimmed and binned MALDIquant peak object
chasemc/ghosts documentation built on May 8, 2019, 12:50 a.m.
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Description Usage Arguments Value
Description
Principle Components Analysis Given a data frame whose columns are variables and rows are samples, run Principle Components Analysis (PCA)
Usage
1 2 | pcaCalculation(dataMatrix, logged = FALSE, scaled = TRUE,
centered = TRUE, missing = 0)
|
Arguments
dataMatrix |
NA |
logged |
NA |
scaled |
NA |
centered |
NA |
missing |
NA |
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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