ksMenu: Kolmogorov-Smirnov test

In RcmdrPlugin.UCA: UCA Rcmdr Plug-in

Kolmogorov-Smirnov test

Description

Within the "Statistics" -> "Non-parametric test" menu, a new entry is provided "Kolmogorov-Smirnov test for two samples..." to carry out a Kolmogorov-Smirnov test, a two-sample test of the null hypothesis that both samples were drawn from the same continuous distribution. This option uses the function ks.test of the package stats. For more information see ks.test.

Details

Here is an example of "Kolmogorov-Smirnov test for two samples..." menu entry.

Load data "Baumann" selecting from Rcmdr menu: "Data" -> "Data in packages" -> "Read data set from an attached package..." then double-click on "carData", click on "Baumann" and on "OK". Rcmdr reply with the following command in source pane (R Script)

data(Baumann, package="carData")

To compare the distributions of "pretest.1" with "post.test.1", select from Rcmdr menu: "Statistics" -> "Non-parametric test" -> "Kolmogorov-Smirnov test for two samples..." select "pretest.1" and "post.test.1", then "OK". Rcmdr reply with the following command in source pane (R Script)

with(Baumann, ks.test(pretest.1, post.test.1))

Author(s)

Manuel Munoz-Marquez <[e-mail]>

See Also

For more information see Rcmdr-package.

Para ayuda en español, véase Test de Kolmogorov-Smirnov (es). (For Spanish help see Test de Kolmogorov-Smirnov (es).)

RcmdrPlugin.UCA documentation built on May 4, 2022, 9:05 a.m.