I doubt that dplyr is the problem. have a look at the output of str(CSUdata2) The problem is probably in there.
Sending a reproducible example of the problem makes it easier for us to help you. Note that this list doesn't accept HTML mail. I suggest that you read the posting guide carefully. ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2015-09-27 9:58 GMT+02:00 <james.vordtri...@att.net>: > Hi--I’m new to R. For a dissertation, my panel data is for 48 Sub-Saharan > countries (cross-sectional index=’i’) over 55 years 1960-2014 (time-series > index=’t’). The variables read into R from a text file are levels data. > The 2SLS regression due to reverse causality will be based on change in the > levels data, so will need to difference the data grouped by cross-sectional > index ‘i’. > > > There are nearly 50 total variables, but the model essentially will > regress the differenced Yit ~ X1it+X2it+X3it+X4it+X5it+X6it, with a dummy > variable attached to each of the change-X(s). > > > Due to missing data, R originally classified each X and Y variable as a > ‘factor’, subsequently changed to ‘numeric’ via ‘as.numeric’ command. > > > However, when I write the following command for dplr solely to difference > Yit (=Yit-Yi[t-1]) mutated to new variable dYit, I receive error messages > to the effect that Yit and each of the X variables are ‘factors’. > > > > > >library (dplr) > > >dt = CSUdata2 %>% group_by (i) %>% (dYit=Yit-lag(Yit)) > > > > ‘CSUdata2’ is the object in which the tab-delimited text file dataset is > stored. > > > Questions: > > > Any idea why dplyr reads the variables as ‘factors’? A class(*) command > per variable shows R to know each Y and X as ‘numeric’. > > > Is the command to difference Yit done correctly? I plan to use the same > command for each variable requiring change until I understand the commands > better. > > > > Thank you. > > > > > > > > > > Sent from Windows Mail > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
