ranktests: Perform a rank-based one- or two-sample test using a Gaussian...
In kolassa-dev/NonparametricHeuristic: Heuristic Tools for Nonparametric Statistics
ranktests R Documentation
Perform a rank-based one- or two-sample test using a Gaussian approximation.
Description
Perform a rank-based one- or two-sample test using a Gaussian approximation.
Usage
ranktests(x, y = NULL, sv = NULL)
Arguments
x
First sample
y
Second sample. If default value of NULL, indicates one-sample test.
sv
Type of scores, if character "ns", "vw", or "ss", or vector of scores if numeric. Defaults to rank scores.
Value
A list of class htest
Examples
ranktests(rnorm(10),rnorm(15),"ss")
kolassa-dev/NonparametricHeuristic documentation built on Nov. 14, 2022, 11:25 p.m.
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| ranktests | R Documentation |
Perform a rank-based one- or two-sample test using a Gaussian approximation.
Description
Perform a rank-based one- or two-sample test using a Gaussian approximation.
Usage
ranktests(x, y = NULL, sv = NULL)
Arguments
x |
First sample |
y |
Second sample. If default value of NULL, indicates one-sample test. |
sv |
Type of scores, if character "ns", "vw", or "ss", or vector of scores if numeric. Defaults to rank scores. |
Value
A list of class htest
Examples
ranktests(rnorm(10),rnorm(15),"ss")
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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