Scale

med_test works correctly

    Exact permutation test based on sample medians

data:  x[1:5] and y[1:5]
D = 0.74193, p-value = 0.2698
alternative hypothesis: true location shift is not equal to 0
sample estimates:
Median of x Median of y 
-0.09169176 -0.27055154

    Exact permutation test based on sample medians

data:  x[1:5] and y[1:5]
D = 0.2009, p-value = 0.5635
alternative hypothesis: true location shift is not equal to 0
sample estimates:
Median of x Median of y 
-0.09169176 -0.27055154

    Exact permutation test based on sample medians

data:  x[1:5] and y[1:5]
S = -1.4497, p-value = 0.1111
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
Median of log(x^2) Median of log(y^2) 
        -4.7786455          0.1298607

    Exact permutation test based on sample medians

data:  x[1:5] and y[1:5]
S = -1.4497, p-value = 0.1111
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
Median of log(x^2) Median of log(y^2) 
        -4.7786455          0.1298607

    Randomization test based on sample medians (10000 random permutations)

data:  x[1:10] and y[1:10]
D = 0.43222, p-value = 0.137
alternative hypothesis: true location shift is not equal to 0
sample estimates:
Median of x Median of y 
 0.04538505 -0.25026219

    Randomization test based on sample medians (10000 random permutations)

data:  x[1:10] and y[1:10]
D = 0.35024, p-value = 0.1393
alternative hypothesis: true location shift is not equal to 0
sample estimates:
Median of x Median of y 
 0.04538505 -0.25026219

    Randomization test based on sample medians (10000 random permutations)

data:  x[1:10] and y[1:10]
S = -0.74179, p-value = 0.2533
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
Median of log(x^2) Median of log(y^2) 
        -3.3779604         -0.2483186

    Randomization test based on sample medians (10000 random permutations)

data:  x[1:10] and y[1:10]
S = -0.8212, p-value = 0.1723
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
Median of log(x^2) Median of log(y^2) 
        -3.3779604         -0.2483186

    Asymptotic test based on sample medians

data:  x and y
D = 1.3053, p-value = 0.1918
alternative hypothesis: true location shift is not equal to 0
sample estimates:
Median of x Median of y 
  0.1062759  -0.2266639

    Asymptotic test based on sample medians

data:  x and y
S = 0.015208, p-value = 0.9879
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
Median of log(x^2) Median of log(y^2) 
         -1.130677          -1.140568