kmo: KMO Kaiser-Meyer-Olkin Measure of Sampling Adequacy

Description Usage Arguments Value The original MATLAB script by Trujillo-Ortiz et al. is licensed as follows Note Author(s) Source

Description

Function by G. Jay Kerns, based on Antonio Trujillo-Ortiz et al's MATLAB script. This function computes Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Needs the MASS package.

Usage

1

Arguments

data

dataframe to compute the kmo on.

Value

list of the calculated results.

The original MATLAB script by Trujillo-Ortiz et al. is licensed as follows

Copyright (c) 2009, Antonio Trujillo-Ortiz

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Note

Permission to publish under MIT license granted by G. Jay Kerns. Copyright remains with the author(s) of the function.

Author(s)

Kerns, G. Jay.

Source

Trujillo-Ortiz et al. http://de.mathworks.com/matlabcentral/fileexchange/12736-kmo?requestedDomain=www.mathworks.com (accessed Feburary 2, 2017).

Kerns, G. Jay. http://tolstoy.newcastle.edu.au/R/e2/help/07/08/22816.html (accessed Feburary 2, 2017).

Field, Andy. (2012) 'Discovering Statistics Using R', p. 776. London, England: SAGE.


Frostarella/DSUR.noof documentation built on June 2, 2019, 5:53 p.m.