permutationTest.object {EnvStats}

S3 Class "permutationTest"

Description

This class of objects is returned by functions that perform permutation tests. Objects of class "permutationTest" are lists that contain information about the null and alternative hypotheses, the estimated distribution parameters, the test statistic and the p-value. They also contain the permutation distribution of the statistic (or a sample of the permutation distribution).

Details

Objects of S3 class "permutationTest" are returned by any of the EnvStats functions that perform permutation tests. Currently, these are: oneSamplePermutationTest,
twoSamplePermutationTestLocation, and twoSamplePermutationTestProportion.

Value

A legitimate list of class "permutationTest" includes the components listed in the help file for htest.object. In addition, the following components must be included in a legitimate list of class "permutationTest":

Required Components
The following components must be included in a legitimate list of class "permutationTest".

stat.dist

numeric vector containing values of the statistic for the permutation distribution. When exact=FALSE, the vector is comprised of values sampled from the full permutation distribution.

exact

logical scalar indicating whether the exact permutation distribution was used for the test (exact=TRUE), or if instead the permutation distribution was sampled (exact=FALSE).

Optional Components
The following component may optionally be included in an object of of class "permutationTest":

seed

integer or vector of integers indicating the seed that was used for sampling the permutation distribution. This component is present only if exact=FALSE.

prob.stat.dist

numeric vector containing the probabilities associated with each element of the component stat.dist. This component is only returned by the function twoSamplePermutationTestProportion.

Methods

Generic functions that have methods for objects of class "permutationTest" include:
print, plot.

Note

Since objects of class "permutationTest" are lists, you may extract their components with the $ and [[ operators.

Author(s)

Steven P. Millard ([e-mail])

See Also

print.permutationTest, plot.permutationTest, oneSamplePermutationTest,
twoSamplePermutationTestLocation, twoSamplePermutationTestProportion, Hypothesis Tests.

Examples

  # Create an object of class "permutationTest", then print it and plot it. 
  #------------------------------------------------------------------------

  set.seed(23) 

  dat <- rlogis(10, location = 7, scale = 2) 

  permutationTest.obj <- oneSamplePermutationTest(dat, mu = 5, 
    alternative = "greater", exact = TRUE) 

  mode(permutationTest.obj) 
  #[1] "list" 

  class(permutationTest.obj) 
  #[1] "permutationTest" 

  names(permutationTest.obj) 
  # [1] "statistic"         "parameters"        "p.value"          
  # [4] "estimate"          "null.value"        "alternative"      
  # [7] "method"            "estimation.method" "sample.size"      
  #[10] "data.name"         "bad.obs"           "stat.dist"        
  #[13] "exact" 

  #==========

  # Print the results of the test 
  #------------------------------
  permutationTest.obj 

  #Results of Hypothesis Test
  #--------------------------
  #
  #Null Hypothesis:                 Mean (Median) = 5
  #
  #Alternative Hypothesis:          True Mean (Median) is greater than 5
  #
  #Test Name:                       One-Sample Permutation Test
  #                                 (Exact)
  #
  #Estimated Parameter(s):          Mean = 9.977294
  #
  #Data:                            dat
  #
  #Sample Size:                     10
  #
  #Test Statistic:                  Sum(x - 5) = 49.77294
  #
  #P-value:                         0.001953125

  #==========

  # Plot the results of the test 
  #-----------------------------
  dev.new()
  plot(permutationTest.obj)

  #==========

  # Extract the test statistic
  #---------------------------

  permutationTest.obj$statistic
  #Sum(x - 5) 
  #  49.77294

  #==========

  # Clean up
  #---------
  rm(permutationTest.obj)
  graphics.off()