hashMat: Assigns a hash value to a two-column matrix.
In EricMcKinney77/distdiffR: Two-Sample Tests of Distributional Equality for Bivariate Data
hashMat R Documentation
Assigns a hash value to a two-column matrix.
Description
The hashMat() function assigns hash numbers to the two-column sample
matrices for the purpose of providing identical test results regardless of
the order in which the input data is passed to the distdiffr() or
grouped_distdiffr() functions.
Usage
hashMat(mat)
Arguments
mat
A two column matrix of bivariate observations.
Value
A numeric hash value
Examples
data(iris)
sample1 <- as.matrix(iris[iris$Species == "virginica", 1:2])
sample2 <- as.matrix(iris[iris$Species == "versicolor", 1:2])
hashMat(sample1)
hashMat(sample2)
EricMcKinney77/distdiffR documentation built on April 24, 2022, 9:03 p.m.
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| hashMat | R Documentation |
Assigns a hash value to a two-column matrix.
Description
The hashMat() function assigns hash numbers to the two-column sample
matrices for the purpose of providing identical test results regardless of
the order in which the input data is passed to the distdiffr() or
grouped_distdiffr() functions.
Usage
hashMat(mat)
Arguments
mat |
A two column matrix of bivariate observations. |
Value
A numeric hash value
Examples
data(iris) sample1 <- as.matrix(iris[iris$Species == "virginica", 1:2]) sample2 <- as.matrix(iris[iris$Species == "versicolor", 1:2]) hashMat(sample1) hashMat(sample2)
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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