Does anyone know of any literature on the kappa statistic with plsda? I
have been trying to find papers that used plsda for classification and have
yet to come across this kappa value. All the papers I come across
typically have R2 as an indicator of model fit. I want to make sure I
conduct such
That the most common formula, but not the only one. See
Kvålseth, T. (1985). Cautionary note about $R^2$. *American Statistician*,
*39*(4), 279285.
Traditionally, the symbol 'R' is used for the Pearson correlation
coefficient and one way to calculate R^2 is... R^2.
Max
On Sun, Mar 3, 2013 a
I was under the impression that in PLS analysis, R2 was calculated by 1-
(Residual sum of squares) / (Sum of squares). Is this still what you are
referring to? I am aware of the linear R2 which is how well two variables
are correlated but the prior equation seems different to me. Could you
expla
Thank you for your response Max. Is there some literature that you make
that statement? I am confused as I have seen many publications that
contain R^2 and Q^2 following PLSDA analysis. The analysis usually is to
discriminate groups (ie. classification). Are these papers incorrect in
using thes
Charles,
You should not be treating the classes as numeric (is virginica really
three times setosa?). Q^2 and/or R^2 are not appropriate for classification.
Max
On Sat, Mar 2, 2013 at 5:21 PM, Charles Determan Jr wrote:
> I have discovered on of my errors. The timematrix was unnecessary and a
I have discovered on of my errors. The timematrix was unnecessary and an
unfortunate habit I brought from another package. The following provides
the same R2 values as it should, however, I still don't know how to
retrieve Q2 values. Any insight would again be appreciated:
library(caret)
librar
Greetings,
I have been exploring the use of the caret package to conduct some plsda
modeling. Previously, I have come across methods that result in a R2 and
Q2 for the model. Using the 'iris' data set, I wanted to see if I could
accomplish this with the caret package. I use the following code:
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