scalingMethods: scalingMethods
In DiffCorr: Analyzing and Visualizing Differential Correlation Networks in Biological Data
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The pre-treatment methods
Usage
1
2
scalingMethods(data, methods = c("auto", "range", "pareto", "vast", "level",
"power"))
Arguments
data
a data matrix ([data.frame object] row: molecules,
col: samples or replicates)
methods
the chosen methods.
Value
the resulting data frame (or scaled data matrix)
Author(s)
Atsushi Fukushima
Examples
1
scalingMethods(iris[,1:4], "level")
DiffCorr documentation built on May 2, 2019, 3:46 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s) Examples
Description
The pre-treatment methods
Usage
1 2 | scalingMethods(data, methods = c("auto", "range", "pareto", "vast", "level",
"power"))
|
Arguments
data |
a data matrix ([data.frame object] row: molecules, col: samples or replicates) |
methods |
the chosen methods. |
Value
the resulting data frame (or scaled data matrix)
Author(s)
Atsushi Fukushima
Examples
1 | scalingMethods(iris[,1:4], "level")
|
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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