I'm sure this is a simple problem, however I need a bit of help to sort it
out.
I have a multivariate data set of elements. Some of the observations have
some amount of certain elements but are lacking in others. Therefore, I
want to quickly group/cluster the observations based on a presence/ab
Hi all,
I was wondering if anyone was able to explain to me why when I run
predict.lda() on some new data I get lots of posterior probabilities = 1.
This seems markedly unrealistic. What do the posteriors mean in the context
of the predict.lda() function?
Thanks
Gareth
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Hi all,
I was wondering if anyone was able to explain to me why when I run
predict.lda() on some new data I get lots of posterior probabilities = 1.
This seems markedly unrealistic. What do the posteriors mean in the context
of the predict.lda() function?
Thanks
Gareth
--
View this message i
Hi Team,
I'm on a mac, 0SX 10.5.6, R 2.7.2.
I consistently make pairs plots and use mtext() to put labels on top of the
plot in the outer margin. All of a sudden, this text has become really
grainy in the final product and is making huge files. I have no idea why
this has just started happenin
Thanks Mark,
I failed to mention that i'm working within a compositional framework. I
didn't want to confuse things. My data is transformed to the clr or alr
under Aitchison geometry, so I am essentially working in Euclidean space.
Has anyone had experience doing stepwise LDA?? I can't for t
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