Description Usage Arguments Value Examples

View source: R/statistics-utils.R

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.

1 | ```
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.

1 2 | ```
shapiro_test(faithful, data = faithfulfaces)
shapiro_test(faithful, by = face_sex, data = faithfulfaces)
``` |

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