Wow, thanks a lot for your quick replies and useful comments. Indeed, Sarah's advice does the job perfectly. I wish to thank you all also for your advices on how to shift from a Stata mindset to an R one (which is currently my main obstacle). Best, f.
On 18 September 2011 20:07, R. Michael Weylandt <michael.weyla...@gmail.com>wrote: > Furthermore, if you want to add lines to a plot, I'd advise against the > curve() function, rather use lines() to add lines (or points() for, well, > points) on a plot. > > E.g., > > x <- seq(0,10,by=0.025) > y <- sin(x) > y2 <- cos(x) > > plot(x,y,type="l",col="red4",lwd=3) > lines(x,y2) > > curve() wouldn't work for this > > Michael > > On Sun, Sep 18, 2011 at 1:23 PM, Patrick Burns > <pbu...@pburns.seanet.com>wrote: > >> Sarah has told you how to get from where >> you are to where you want to be. >> >> However, it is easier to start somewhere >> else. The more "R" way to do what you are >> doing is to use a list to put the results >> of your regressions into. It is then very >> easy to use that list, and it is easier to >> keep track of. >> >> The two documents mentioned in my signature >> may help you get up and running in R. Since >> you are coming from Stata, you should also >> look at http://r4stats.com >> >> >> On 18/09/2011 17:05, Francesco Sarracino wrote: >> >>> Dear all, >>> >>> I am a stata user and I am moving my first steps in R. >>> I am dealing with a silly issue concerning looping over variables. I read >>> previous posts on similar topics in the R help archive, but I did not >>> find a >>> solution. >>> Here is my case: >>> >>> I run a simple bivariate linear regression saving the output in objects >>> called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3 >>> >>> pd.memb.0<- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1)) >>> pd.memb.1<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb<= >>> quantile(M.fs.memb, .25)& tag2 == 1)) >>> pd.memb.2<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb> >>> quantile(M.fs.memb, .25)& M.fs.memb<= quantile(M.fs.memb, .75)& tag2 == >>> 1)) >>> pd.memb.3<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb> >>> quantile(M.fs.memb, .75)& tag2 == 1)) >>> >>> Subsequently, I wish to plot my data superimposing a different line for >>> each >>> regression model. Here I am trying to apply my loop. Looking at the info >>> I >>> found around, the following code sound to me as correct, but I am wrong. >>> >>> plot(M.fs.memb , E.fs.memb) >>> for(i = 1:3){ >>> curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, >>> col = >>> "red") >>> } >>> >>> The plot is plotted, but the curves are not printed and I get the >>> following >>> error message: >>> >>> >>> Error in coef(pd.memb.i) : >>> error in evaluating the argument 'object' in selecting a method for >>> function 'coef'> }Error: unexpected '}' in "}" >>> >>> >>> What am I doing wrong? >>> Thanks a lot for your help, >>> f. >>> >>> [[alternative HTML version deleted]] >>> >>> ______________________________**________________ >>> R-help@r-project.org mailing list >>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >>> PLEASE do read the posting guide http://www.R-project.org/** >>> posting-guide.html <http://www.R-project.org/posting-guide.html> >>> and provide commented, minimal, self-contained, reproducible code. >>> >>> >> -- >> Patrick Burns >> pbu...@pburns.seanet.com >> twitter: @portfolioprobe >> http://www.portfolioprobe.com/**blog <http://www.portfolioprobe.com/blog> >> http://www.burns-stat.com >> (home of 'Some hints for the R beginner' >> and 'The R Inferno') >> >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide http://www.R-project.org/** >> posting-guide.html <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 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.