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Summarizing kernel-based quadratic distance results

Source: R/kb.test.R
summary.kb.test.Rd

summary method for the class kb.test

Usage

# S4 method for kb.test
summary(object)

Arguments

object

Object of class kb.test

Value

List with the following components:

  • summary_tables Table of computed descriptive statistics per variable (and per group if available).

  • test_results Data frame with the results of the performed kernel-based quadratic distance test.

  • qqplots Figure with qq-plots for each variable.

See also

kb.test() and kb.test for more details.

Examples

# create a kb.test object
x <- matrix(rnorm(100),ncol=2)
# Normality test
my_test <- kb.test(x, h=0.5)
summary(my_test)

#> 
#>  Kernel-based quadratic distance Normality test 
#>   Statistic       Value Critical_Value Reject_H0
#> 1        Un -0.07807674       1.734051     FALSE
#> 2        Vn  0.55877213       6.071062     FALSE
#> $summary_tables
#>                V1          V2
#> mean    0.2225601 -0.01276311
#> sd      1.0933236  1.14937193
#> median  0.2061474  0.14471308
#> IQR     1.3443250  1.40042674
#> min    -1.5643294 -4.11865455
#> max     3.5340310  2.55373421
#> 
#> $test_results
#>   Statistic       Value Critical_Value Reject_H0
#> 1        Un -0.07807674       1.734051     FALSE
#> 2        Vn  0.55877213       6.071062     FALSE
#> 
#> $qqplots

#>