On Sat, Aug 27, 2011 at 7:26 AM, Andra Isan <andra_i...@yahoo.com> wrote: > Hi All, > > I have a data frame as follow: > > user_id time age location gender > ..... > > and I learn a logistic regression to learn the weights (glm with family= > (link = logit))), my response value is either zero or one. I would like to > group the users based on user_id and time and see the y values and predicted > y values at the same time. Or plot them some how. Is there any way to somehow > group them together so that I can learn more about my data by grouping them? > It's very difficult to help you because you haven't followed the posting guide. But I suspect you're looking for the following:
> require(plyr) Loading required package: plyr > data(mtcars) > ##considering 'gear' as 'id' and 'carb' as time > ddply(mtcars, .(gear, carb), function(x) mean(x$hp)) gear carb V1 1 3 1 104.0 2 3 2 162.5 3 3 3 180.0 4 3 4 228.0 5 4 1 72.5 6 4 2 79.5 7 4 4 116.5 8 5 2 102.0 9 5 4 264.0 10 5 6 175.0 11 5 8 335.0 This will compute the mean of 'hp' for each group of id & time. Liviu > I would like to get these at the end > user_id time y predicted_y > > Thanks a lot, > Andra > > ______________________________________________ > 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. > -- Do you know how to read? http://www.alienetworks.com/srtest.cfm http://goodies.xfce.org/projects/applications/xfce4-dict#speed-reader Do you know how to write? http://garbl.home.comcast.net/~garbl/stylemanual/e.htm#e-mail ______________________________________________ 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.