Description Usage Arguments Details Value Examples

View source: R/expect_distfit.R

Expectation checking whether a given sample comes from Gaussian distribution with arbitrary parameters. The underlying procedure is Shapiro- Wilk's test of normality `shapiro.test`

.
The expectation throws an error when the test's p-value is smaller than the threshold p-value.

1 | ```
expect_gaussian(sample, p_value = 0.001)
``` |

`sample` |
to test |

`p_value` |
threshold p-value of the test |

shapiro.test allows the number of non-missing values to be between 3 and 5000.

Invisibly returns a p-value of the test.

1 2 3 4 5 6 7 8 9 | ```
x<-rnorm(n=1e3,5,6)
expect_gaussian(sample=x)
#The following test doesn't pass
## Not run:
x<-runif(n=1e2,-1,6)
expect_gaussian(sample=x)
## End(Not run)
``` |

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