R: Generalized Extreme Studentized Deviate Many-Outlier Test

gesdTest {PMCMRplus} | R Documentation

## Generalized Extreme Studentized Deviate Many-Outlier Test

### Description

Performs Rosner's generalized extreme studentized deviate procedure to detect up-to `maxr` outliers in a univariate sample that follows an approximately normal distribution.

### Usage

    gesdTest(x, maxr)

### Arguments

`x` | a numeric vector of data.
`maxr` | the maximum number of outliers to be tested.

### References

Rosner, B. (1983) Percentage Points for a Generalized ESD Many-Outlier Procedure, Technometrics 25, 165–172.

### Examples

    ## Taken from Rosner (1983):
    x <- c(-0.25,0.68,0.94,1.15,1.20,1.26,1.26,
    1.34,1.38,1.43,1.49,1.49,1.55,1.56,
    1.58,1.65,1.69,1.70,1.76,1.77,1.81,
    1.91,1.94,1.96,1.99,2.06,2.09,2.10,
    2.14,2.15,2.23,2.24,2.26,2.35,2.37,
    2.40,2.47,2.54,2.62,2.64,2.90,2.92,
    2.92,2.93,3.21,3.26,3.30,3.59,3.68,
    4.30,4.64,5.34,5.42,6.01)

    out <- gesdTest(x, 10)

    ## print method
    out

    ## summary method
    summary(out)

[Package PMCMRplus version 1.7.1 Index]