Scale

m_test works correctly

    Exact permutation test based on Huber M-estimator

data:  x[1:5] and y[1:5]
D = 0.52194, p-value = 0.5079
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
-0.08835722 -0.49828348

    Exact permutation test based on Huber M-estimator

data:  x[1:5] and y[1:5]
S = -2.5185, p-value = 0.05556
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
        -5.3591201         -0.8550453

    Randomization test based on Huber M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
D = 1.2359, p-value = 0.2062
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
  0.1697007  -0.3416715

    Randomization test based on Huber M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
S = -2.1062, p-value = 0.08869
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -3.495301          -1.062257

    Asymptotic test based on Huber M-estimator

data:  x and y
D = 1.8149, p-value = 0.06954
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
  0.1190291  -0.2758353

    Asymptotic test based on Huber M-estimator

data:  x and y
S = -0.81798, p-value = 0.4134
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -1.583908          -1.171857

    Exact permutation test based on Hampel M-estimator

data:  x[1:5] and y[1:5]
D = 0.51901, p-value = 0.5317
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
-0.08861494 -0.49828351

    Exact permutation test based on Hampel M-estimator

data:  x[1:5] and y[1:5]
S = -2.7089, p-value = 0.04762
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
        -5.3642507         -0.8550453

    Randomization test based on Hampel M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
D = 1.214, p-value = 0.2092
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
  0.1637886  -0.3406721

    Randomization test based on Hampel M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
S = -2.1056, p-value = 0.1036
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -3.498205          -1.062257

    Asymptotic test based on Hampel M-estimator

data:  x and y
D = 1.8078, p-value = 0.07063
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
  0.1192286  -0.2752307

    Asymptotic test based on Hampel M-estimator

data:  x and y
S = -0.5899, p-value = 0.5553
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -1.467102          -1.172341

    Exact permutation test based on Bisquare M-estimator

data:  x[1:5] and y[1:5]
D = 0.76979, p-value = 0.4048
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
 -0.0915650  -0.5137139

    Exact permutation test based on Bisquare M-estimator

data:  x[1:5] and y[1:5]
S = -2.4747, p-value = 0.06349
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
        -5.4354596         -0.8100257

    Randomization test based on Bisquare M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
D = 1.3088, p-value = 0.1782
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
   0.125459   -0.347984

    Randomization test based on Bisquare M-estimator (10000 random
    permutations)

data:  x[1:10] and y[1:10]
S = -1.9626, p-value = 0.1337
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -3.528777          -1.026061

    Asymptotic test based on Bisquare M-estimator

data:  x and y
D = 1.8154, p-value = 0.06946
alternative hypothesis: true location shift is not equal to 0
sample estimates:
M-est. of x M-est. of y 
  0.1229614  -0.2779441

    Asymptotic test based on Bisquare M-estimator

data:  x and y
S = -0.39513, p-value = 0.6927
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
M-est. of log(x^2) M-est. of log(y^2) 
         -1.354696          -1.149669