normalityTest {rexposome} | R Documentation

## It creates a `data.frame` of boolean indicating if the exposures follows a normal distribution or not.

### Description

This functions uses `shapiro.test` to test the normality of the exposures and returns a `data.frame` with a boolean value and a p-value for each exposure.

### Usage

    normalityTest(
      object,
      exposure,
      th = 0.05,
      min.val = 5,
      na.rm = TRUE,
      warnings = TRUE
    )

### Arguments

`object` | ExposomeSet with the exposome to be tested.
`exposure` | Name of the exposure to be tested, if missing all the exposures will be tested.
`th` | (by default `0.05`) Threshold to considere an exposure to follow a normal distribution.
`min.val` | (by default `5`) Minimum number of values not missings to test the exposures.
`na.rm` | (by default `TRUE`) Removes the NA values to test the normality on the exposure.
`warnings` | (by default: `TRUE`) Show warnings if required.

### Value

A `data.frame` with three columns: exposure, normality and p.value. "exposure" column contains the name of each exposure. "normalty" column contains a `logical` value indicating if the obtained p-value is under the given threshold. "p.value" column contains the obtained p-value from `shapiro.test`.

### See Also

plotHistogram to draw the shape of an exposure, plotMissings to draw a plot with the missing data an ExposomeSet, imputation to impute missing data on the exposures of an ExposomeSet

### Examples

    data("exposome")
    normalityTest(expo)

[Package rexposome version 1.16.0 Index]