Generalized Extreme Studentized Deviate Many-Outlier Test
Performs Rosner's generalized extreme studentized deviate
procedure to detect up-to maxr
outliers in a
univariate sample that follows an approximately normal distribution.
gesdTest(x, maxr)
x |
a numeric vector of data. |
maxr |
the maximum number of outliers to be tested. |
Rosner, B. (1983) Percentage Points for a Generalized ESD Many-Outlier Procedure, Technometrics 25, 165–172.
## 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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.