selectFeatures_IQR: Selection of features based on their IQR
In bitona/MineICA: Analysis of an ICA decomposition obtained on genomics data
selectFeatures_IQR R Documentation
Selection of features based on their IQR
Description
This function selects the features having the largest
Inter Quartile Range (IQR).
Usage
selectFeatures_IQR(data, nb)
Arguments
data
Measured data of dimension features x samples
(e.g, gene expression data)
nb
The number of features to be selected
Value
A subset of data restricted to the features having
the nb highest IQR value
Author(s)
Pierre Gestraud
Examples
dat <- matrix(rnorm(10000),ncol=10,nrow=1000)
rownames(dat) <- 1:1000
selectFeatures_IQR(data=dat, nb=500)
bitona/MineICA documentation built on April 23, 2023, 1:41 p.m.
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| selectFeatures_IQR | R Documentation |
Selection of features based on their IQR
Description
This function selects the features having the largest Inter Quartile Range (IQR).
Usage
selectFeatures_IQR(data, nb)
Arguments
data |
Measured data of dimension features x samples (e.g, gene expression data) |
nb |
The number of features to be selected |
Value
A subset of data restricted to the features having
the nb highest IQR value
Author(s)
Pierre Gestraud
Examples
dat <- matrix(rnorm(10000),ncol=10,nrow=1000)
rownames(dat) <- 1:1000
selectFeatures_IQR(data=dat, nb=500)
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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