Hi, Yes I know it works, but I'd like to assign the results like this:
V(g)$meanknn <- ONELINER Where V(g) elencates all the nodes in my graph... Thanks, Simone Sent from my iPhone. Please excuse brevity and odd typos On 01/feb/2013, at 13:31, PIKAL Petr <petr.pi...@precheza.cz> wrote: > Hi > > I do not see any problem with your code. *apply functions are also hidden > cycles and there shall not be substantial improvement in speed. > > Why you do not want to use for cycle? > > Petr > > >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- >> project.org] On Behalf Of Simone Gabbriellini >> Sent: Friday, February 01, 2013 12:54 PM >> To: r-help@r-project.org >> Subject: [R] how to >> >> Dear List, >> >> I have a list of lists and on each list I want to apply a function from >> the igraph package, graph.knn. I need to calculate graph.knn for each >> list on a graph g, then retrieve one of the result called $knn and >> calculate its mean. The non-R style code looks like this: >> >> for(i in listOfLists){ >> print(mean(graph.knn(g, i)$knn)) >> } >> >> Is there any way to convert this in a one-liner? I have tried to figure >> it out with lapply() or mapply() but with no success. >> >> Thank you in advance for your help. >> >> Simone >> >> -- >> Simone Gabbriellini, PhD >> >> PostDoc@DISI, University of Bologna >> mobile: +39 340 39 75 626 >> email: simone.gabbriell...@unibo.it >> home: www.digitaldust.it >> >> DigitalBrains srl >> Amministratore >> mobile: +39 340 39 75 626 >> email: simone.gabbriell...@digitalbrains.it >> home: www.digitalbrains.it >> >> ______________________________________________ >> 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. ______________________________________________ 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.