shannon.entropy: Calculate the Shannon entropy
In TFBSTools: Software Package for Transcription Factor Binding Site (TFBS) Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function calculates the Shannon entropy for a discrete random variable
with finite n values sample.
Usage
1
Arguments
p
A numeric object with non-negative values.
Details
The entropy is calculated by H(x) = -sum_i^n(P(x_i)log_b(P(x_i))).
Value
A numeric value of entropy is returned.
Author(s)
Ge Tan
Examples
1
2
3
4
x <- c(1, 1, 1, 1)
shannon.entropy(x)
x <- c(1, 0, 0, 0)
shannon.entropy(x)
TFBSTools documentation built on Nov. 8, 2020, 8:14 p.m.
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.
Description Usage Arguments Details Value Author(s) Examples
Description
This function calculates the Shannon entropy for a discrete random variable with finite n values sample.
Usage
1 |
Arguments
p |
A |
Details
The entropy is calculated by H(x) = -sum_i^n(P(x_i)log_b(P(x_i))).
Value
A numeric value of entropy is returned.
Author(s)
Ge Tan
Examples
1 2 3 4 | x <- c(1, 1, 1, 1)
shannon.entropy(x)
x <- c(1, 0, 0, 0)
shannon.entropy(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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.