wasserMetric.v: Wasserstein Metric
In D3M: Two Sample Test with Wasserstein Metric
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Wasserstein Metric
Usage
1
wasserMetric.v(cases, control, paranum = 101, q = 2)
Arguments
cases
name of case group data (matrix sample * feature).
control
names of control group data (matrix sample * feature).
paranum
the number of quatile discretization + 1. Default is discretized by 1%.
q
power of Wasserstein metric. Default is q = 2.
Value
Wasserstein metric
Author(s)
Yusuke Matsui & Teppei Shimamura
Examples
1
2
3
cases <- rbeta(30,1,5)
control <- rbeta(30,2,5)
wasserMetric.v(cases,control)
Example output
[1] 10.98184
D3M documentation built on May 30, 2017, 7:19 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Wasserstein Metric
Usage
1 | wasserMetric.v(cases, control, paranum = 101, q = 2)
|
Arguments
cases |
name of case group data (matrix sample * feature). |
control |
names of control group data (matrix sample * feature). |
paranum |
the number of quatile discretization + 1. Default is discretized by 1%. |
q |
power of Wasserstein metric. Default is q = 2. |
Value
Wasserstein metric
Author(s)
Yusuke Matsui & Teppei Shimamura
Examples
1 2 3 | cases <- rbeta(30,1,5)
control <- rbeta(30,2,5)
wasserMetric.v(cases,control)
|
Example output
[1] 10.98184
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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