On Thu, Jun 28, 2012 at 8:27 AM, Jessica Streicher <j.streic...@micromata.de> wrote: > Thanks Josh, > > that soggy sandwhich saves me a LOT of code by the way, > I'll keep it for the time being ;)
There may be other ways. With no knowledge of your context, obviously I cannot say absolutely that there are better ways to save yourself code, but I can say that there often are. > > greetings > Jessica > > On 28.06.2012, at 17:15, Joshua Wiley wrote: > >> Hi Jessica, >> >> x <- call("plot", quote(pcaI)) >> eval(x) >> >> that said, I suspect you would be better off avoiding this idiom >> altogether. Storing unevaluated calls is akin to putting tomatoes on >> your sandwich before packing it for work---you can do it but you end >> up with a soggy sandwich by the time you are eating it. Better to >> store the bread and tomatoe separately and put them together when you >> want a delicious sandwich. >> >> Cheers, >> >> Josh >> >> On Thu, Jun 28, 2012 at 8:03 AM, Jessica Streicher >> <j.streic...@micromata.de> wrote: >>> Hi! >>> >>> I am getting a lot of numbers in the background of the pca screeplots if i >>> use call("plot") and eval(somecall). >>> Til now, creating the calls and plotting later on this way worked fine. >>> Example: >>> >>> pcaI<-prcomp(iris[,1:4]) >>> plot(pcaI) >>> >>> x<-call("plot",pcaI) >>> eval(x) >>> >>> Anyone got an idea how i can avoid that? (also it might take a second or so >>> for the numbers to appear, so wait a bit before you tell me everythings >>> fine ^^) >>> [[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. >> >> >> >> -- >> Joshua Wiley >> Ph.D. Student, Health Psychology >> Programmer Analyst II, Statistical Consulting Group >> University of California, Los Angeles >> https://joshuawiley.com/ > -- Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, Statistical Consulting Group University of California, Los Angeles https://joshuawiley.com/ ______________________________________________ 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.