sweightedKendallStar: sweightedKendallStar
In shazanfar/DCARS: Differential Correlation across Ranked Samples
Description
Usage
Arguments
Value
Examples
Description
The sweightedKendallStar function is a convenience function to get swcor for weighted zero-inflated kendall's tau
Usage
1
sweightedKendallStar(x, y, w = 1)
Arguments
x
data vector
y
data vector
w
weights vector
Value
vector of stretched weighted correlations using zero-inflated kendall's tau association measure
Examples
1
2
3
4
5
6
7
8
x = pmax(0,rnorm(100))
y = pmax(0,rnorm(100))
w = runif(100)
wcor = weightedKendallStar(x,y,w)
bounds = boundsKendallStar(x,y,w)
stretch(wcor, upper = bounds[["upper"]], lower = bounds[["lower"]]
sweightedKendallStar(x,y,w)
shazanfar/DCARS documentation built on Oct. 14, 2020, 11:11 a.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 Value Examples
Description
The sweightedKendallStar function is a convenience function to get swcor for weighted zero-inflated kendall's tau
Usage
1 | sweightedKendallStar(x, y, w = 1)
|
Arguments
x |
data vector |
y |
data vector |
w |
weights vector |
Value
vector of stretched weighted correlations using zero-inflated kendall's tau association measure
Examples
1 2 3 4 5 6 7 8 | x = pmax(0,rnorm(100))
y = pmax(0,rnorm(100))
w = runif(100)
wcor = weightedKendallStar(x,y,w)
bounds = boundsKendallStar(x,y,w)
stretch(wcor, upper = bounds[["upper"]], lower = bounds[["lower"]]
sweightedKendallStar(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.
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.