1. This is not really an R question. I suggest you post to a
statistical list like stats.stackexchange.com instead.
2. I also suggest you consult a local statistician. You have a time
series with a categorical response. That's not so simple as you think
(and folks on stackexchange may provide you greater insight why). What
you don't know _can_ hurt you. Ignorance is _not_ bliss. (etc. with
other similar clichés.)
Cheers,
Bert
On Sun, Nov 18, 2012 at 1:23 PM, Brian Feeny bfe...@mac.com wrote:
I have a rather basic set of data. It is simply a variable that can be 0, 1
or 2 and its value over a series of time t0 - t9 like so:
y: 1 1 2 0 1 2 2 1 2
1
x: t0 t1 t2 t3 t4 t5 t6 t7 t8
t9
I need to predict what the value of y will be at t10 through t13.
As you can see its rather basic. I am rather new to solving these types of
problems so I am looking for some
good straight forward things to try.
My research into this (google, wiki's, etc) leads me to believe that perhaps
logistic regression would be good, since
I am predicting a categorical variable (0, 1, 2).
I don't have much data for the formula to learn from, as I only have 10
time slots and I need to predict the next 4.
Is logistic regression a good candidate or should I be looking at perhaps
something else?
Brian
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--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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