[R] Best prediction to use to use for basic problem?

[Bert Gunter]

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 <bfeeny at 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

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