Hello,
This is in response to a post from a couple of years back regarding
Kaiser-Meyer-Olkin Measures of Sampling Adequacy.
(http://tolstoy.newcastle.edu.au/R/help/05/12/17233.html)
As it turns out, last year Trujillo-Ortiz et al. at the Universidad
Autonoma de Baja California wrote and posted
Dear colleagues,
I've been searching for information on the Kaiser-Meyer-Olkin (KMO)
Measure of Sampling Adequacy (MSA). This statistic is generated in
SPSS and is often used to determine if a dataset is appropriate for
factor analysis -- it's true utility seems quite low, but it seems to
Sorry, there was an error in that function, a hangover from a
previous session. The corrected function is:
kmo.test - function(df){
###
## Calculate the Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
## Input should be a data frame or matrix, output is the KMO statistic.
## Formula derived
