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Summary method for normality test results

Source: R/normality_test.R
summary.normality_test.Rd

Creates a summary object that produces the detailed SPSS-style "Tests of Normality" table when printed.

Usage

# S3 method for class 'normality_test'
summary(object, tests = TRUE, digits = 3, ...)

Arguments

object

A normality_test result object.

tests

Logical. Show the tests-of-normality table? (Default: TRUE)

digits

Number of decimal places for formatting (Default: 3).

...

Additional arguments (not used).

Value

A summary.normality_test object.

See also

normality_test for the main analysis function.

Examples

result <- normality_test(survey_data, age, income)
summary(result)
#> 
#> Normality Tests Results
#> -----------------------
#> - Variables: age, income
#> 
#> Tests of Normality
#>   ------------------------------------------ 
#>   Variable     KS    df   KS p      W    W p 
#>   ------------------------------------------ 
#>   age       0.028  2500  <.001  0.990  <.001 
#>   income    0.079  2186  <.001  0.963  <.001 
#>   ------------------------------------------ 
#> 
#> KS = Kolmogorov-Smirnov statistic with Lilliefors significance correction.
#> W = Shapiro-Wilk statistic (computed for 3 <= n <= 5000, as in SPSS).
#> p < 0.05 indicates a significant deviation from normality.