shapiro_test.Rd
This function is a wrapper around stats::shapiro.test()
.
It implements the Shapiro-Wilk test that tests the null hypothesis that a sample of values is a sample from a normal distribution.
Thie function can be applied to single vectors or groups of vectors.
shapiro_test(y, by = NULL, data)
A tibble data frame with one row for each value of the by
variable,
or one row overall if there is no by
variable. For the y
variable whose
normality is being tested, for each subset of values corresponding to the
values of they by
variable, or for all values if there is no by
variable, return the Shapiro-Wilk statistic, and the corresponding p-value.
shapiro_test(faithful, data = faithfulfaces)
#> # A tibble: 1 × 2
#> statistic p_value
#> <dbl> <dbl>
#> 1 0.981 0.0190
shapiro_test(faithful, by = face_sex, data = faithfulfaces)
#> # A tibble: 2 × 3
#> face_sex statistic p_value
#> <chr> <dbl> <dbl>
#> 1 female 0.972 0.0688
#> 2 male 0.979 0.168