`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)

y | A numeric variable whose normality is being tested. |
---|---|

by | An optional grouping variable |

data | A data frame containing |

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