View source: R/automatisation.R
cauchy.test
returns if a sample is cauchy distributed with a given significance level.
1 2 | cauchy.test(Test, Sample, parameter = NULL, method_estimation = 2,
alpha = 0.05, repetitions = 10000, data_print = TRUE)
|
Test |
A string with the name of the test. |
Sample |
A numeric vector with data. |
parameter |
A positive numeric value if the test requires a parameter (see below). |
method_estimation |
A parameter specifying the method for estimating the Cauchy-distribution parameters. |
alpha |
A numeric value between 0 and 1 specifying the significance level. |
repetitions |
A positiv integer Possible tests are D_Henze, KL, W, AD, CM, KS, T1, T2, T3, T4. The tests D_Henze, T1, T2, T3, T4 require a positive parameter, which influences the weight-function. |
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