Kendall test for bivariated samples

This function performs the Kendall test

kendall.test(matrix)

Arguments

matrix	Matrix of data

Value

A list with pvalues for alternative hypothesis, statistics, method and data name

Examples

x <- 1:10
m <- matrix(c(x, 2*x+rnorm(length(x))), ncol = 2)
kendall.test(m)
#> [1] "Ranks computed"
#>       [,1] [,2]
#>  [1,]    1    1
#>  [2,]    2    2
#>  [3,]    3    3
#>  [4,]    4    5
#>  [5,]    5    4
#>  [6,]    6    6
#>  [7,]    7    7
#>  [8,]    8    8
#>  [9,]    9    9
#> [10,]   10   10
#> $data.name
#> [1] "m"
#> 
#> $statistic
#>          t          C          Q          Z 
#>  0.9555556 44.0000000  1.0000000  3.8460369 
#> 
#> $p.value
#>               Exact pvalue Positive Dependence pvalue 
#>               0.000000e+00               6.002184e-05 
#> Negative Dependence pvalue       No Dependence pvalue 
#>               9.999400e-01               1.200437e-04 
#> 
#> $method
#> [1] "Kendall"
#>