I have a dataset, a time series comprising count data at five minute intervals. These are the number of people who voted at a particular voting place during a recent election. The next step is to smooth the data and estimate a demand vs time-of-day function; the problem is of interest in preventing long lines at voting places. I am using the R Project software.
However, I am not a statistician, and I am somewhat baffled by how to do the smoothing. These are integers with roughly Poisson distribution, and the use of a least-squares regression would create large errors. Apparently something called a "link function" factors into the equation somehow. Question: Do I want a link function? If so, do I want a logarithmic link function? Unless I change my mind, I will use lowess or loess for the smoothing; how do I tell it to use a link function? Doc ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
