expect_gaussian: Test a Gaussian distribution
In EstimDiagnostics: Diagnostic Tools and Unit Tests for Statistical Estimators

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.

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)