calculate_gini: Calculate Gini coefficient for a vector of transcript-level...
In SU-CompBio/SplicingFactory: Splicing Diversity Analysis for Transcriptome Data
View source: R/diversity_functions.R
calculate_gini R Documentation
Calculate Gini coefficient for a vector of transcript-level
expression values of one gene.
Description
Calculate Gini coefficient for a vector of transcript-level
expression values of one gene.
Usage
calculate_gini(x)
Arguments
x
Vector of expression values.
Details
The function calculates a Gini coefficient as part of different
diversity calculations. Given a vector of transcript-level expression values
of a gene, this function characterize the diversity of splicing isoforms for
a gene. If there only one single transcript, the resulted index will be NaN,
as diversity cannot be calculated. If the expression of the given gene is 0,
the diversity index will be NA.
Value
A single gene-level Gini coefficient.
Examples
# read counts for the transcripts of a single gene with 5 transcripts
x <- rnbinom(5, size = 10, prob = 0.4)
# calculate Gini index
gini <- calculate_gini(x)
SU-CompBio/SplicingFactory documentation built on March 28, 2022, 4:39 a.m.
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View source: R/diversity_functions.R
| calculate_gini | R Documentation |
Calculate Gini coefficient for a vector of transcript-level expression values of one gene.
Description
Calculate Gini coefficient for a vector of transcript-level expression values of one gene.
Usage
calculate_gini(x)
Arguments
x |
Vector of expression values. |
Details
The function calculates a Gini coefficient as part of different diversity calculations. Given a vector of transcript-level expression values of a gene, this function characterize the diversity of splicing isoforms for a gene. If there only one single transcript, the resulted index will be NaN, as diversity cannot be calculated. If the expression of the given gene is 0, the diversity index will be NA.
Value
A single gene-level Gini coefficient.
Examples
# read counts for the transcripts of a single gene with 5 transcripts x <- rnbinom(5, size = 10, prob = 0.4) # calculate Gini index gini <- calculate_gini(x)
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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