compute_iqlr: Compute IQLR (Interquartile Range Log Ratio) Features
In tpq/propr: An R package to calculate proportionality and other measures for compositional data
View source: R/1a-propr-backend.R
compute_iqlr R Documentation
Compute IQLR (Interquartile Range Log Ratio) Features
Description
This function computes the IQLR features from the input count matrix.
The IQLR is based on the log-ratio transformation of the counts, and
it selects features with variance values falling within the
interquartile range.
Usage
compute_iqlr(counts)
Arguments
counts
A data matrix representing counts.
It is assumed that the matrix contains numerical values only.
Value
A numeric vector representing the indices of features selected by IQLR.
Examples
# Sample input count data
data <- matrix(c(1, 2, 3, 4, 0, 6), nrow = 2, byrow = TRUE)
# Compute IQLR features
iqlr_features <- compute_iqlr(data)
tpq/propr documentation built on April 21, 2024, 12:50 p.m.
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View source: R/1a-propr-backend.R
| compute_iqlr | R Documentation |
Compute IQLR (Interquartile Range Log Ratio) Features
Description
This function computes the IQLR features from the input count matrix. The IQLR is based on the log-ratio transformation of the counts, and it selects features with variance values falling within the interquartile range.
Usage
compute_iqlr(counts)
Arguments
counts |
A data matrix representing counts. It is assumed that the matrix contains numerical values only. |
Value
A numeric vector representing the indices of features selected by IQLR.
Examples
# Sample input count data
data <- matrix(c(1, 2, 3, 4, 0, 6), nrow = 2, byrow = TRUE)
# Compute IQLR features
iqlr_features <- compute_iqlr(data)
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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