weightedSpearman_matrix: weightedSpearman_matrix (not recommended to run, use...
In shazanfar/DCARS: Differential Correlation across Ranked Samples
Description
Usage
Arguments
Value
Examples
Description
The weightedSpearman_matrix function calculates a vector of weighted correlations for two given data vectors, for a matrix of given weights.
Usage
1
weightedSpearman_matrix(x, y, W)
Arguments
x
x and y are data vectors
y
x and y are data vectors
W
weight matrix, values should be between 0 and 1, number of columns should be the same as length(x) and length(y)
Value
vector weighted correlation values between x and y
Examples
1
2
3
4
x = rnorm(100)
y = rnorm(100)
W = weightMatrix(100)
weightedSpearman_matrix(x,y,w)
shazanfar/DCARS documentation built on Oct. 14, 2020, 11:11 a.m.
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Description Usage Arguments Value Examples
Description
The weightedSpearman_matrix function calculates a vector of weighted correlations for two given data vectors, for a matrix of given weights.
Usage
1 | weightedSpearman_matrix(x, y, W)
|
Arguments
x |
x and y are data vectors |
y |
x and y are data vectors |
W |
weight matrix, values should be between 0 and 1, number of columns should be the same as length(x) and length(y) |
Value
vector weighted correlation values between x and y
Examples
1 2 3 4 | x = rnorm(100)
y = rnorm(100)
W = weightMatrix(100)
weightedSpearman_matrix(x,y,w)
|
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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