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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
