| weibull_test {goft} | R Documentation |
Test for the Weibull distribution
Description
Test for the Weibull distribution based on a data transformation to observations with type I extreme value (Gumbel) distribution.
Usage
weibull_test(x, method = "transf", N = 1000)
Arguments
x |
numeric data vector containing a random sample of positive observations. |
method |
test to be used. So far, |
N |
number of Monte Carlo samples used to approximate the p-value of the test. Default is N = 1000. |
Details
The "ratio" test provided by function ev_test for the type I extreme value distribution is applied to the transformed observations.
Value
A list with class "htest" containing the following components.
statistic |
the calculated value of the test statistic. |
p.value |
an approximated p-value of the test. |
method |
the character string "Test for the Weibull distribution". |
data.name |
a character string giving the name of the data set. |
Author(s)
Elizabeth Gonzalez-Estrada, Jose A. Villasenor
See Also
Other tests for positive datasets are provided by functions ig_test, gamma_test and lnorm_test.
Examples
# Testing the Weibull distribution hypothesis on the maximum ozone levels given
# in the o3max data set.
data(o3max)
x <- o3max[ ,2] # maximum ozone levels
weibull_test(x, N = 10000)