I think I my original response was bad. And I also realize that I don't really understand what you want to do.
Here is what I was thinking: Format your bibliography as CSV (you can convert common bibliography formats to .csv using Tellico or similar software). Then read the references into a data frame: Refs <- read.csv(textConnection('Title,Entry Type,Author,Bibtex Key,Book Title,Editor,Organization,Publisher,Address,Edition,Pages,Year,ISBN#,Journal,DOI,Month,Number,How Published,Chapter,Series,Volume,Cross-Reference,Keywords,URL,Abstract,Notes,ID,Date Created,Date Modified Unconscious authorship ascription: The effects of success and effect-specific information priming on experienced authorship,article,"Aarts, H.",Aarts2007,,,,,,,119–126,2007,,Journal of Experimental Social Psychology,,,,,,,43,,Lexical Decision; unconscious; Perception; presentation of words; effect-specific information; experienced authorship; authorship ascription; priming; lexical decisions; subliminal perception; Self Perception,http://localhost/refbase/Papers/Aarts/Unconscious%20authorship%20ascription:%20The%20effects%20of%20success.pdf,Abstract goes here,"exported from refbase (http://ista.scp.rochester.edu/refbase/show.php?record=14), last updated on Tue, 17 Nov 2009 10:23:27 -0500",0,2009-12-11,2009-12-11 Goal contagion: Perceiving is for pursuing,article,"Aarts, H.; Gollwitzer, P.; Hassin, R.",Aarts_etal2004,,,,,,,23–37,2004,,Journal of Personality and Social Psychology,,,,,,,87,,Contagion; goal contagion; automatic goal adion; Motivation; Perception; implied behavioral goals; goal perception; Theories; Automatism; behavioral information; goal directedness; Attention; Stimulus Parameters; Goals; goal characteristics,http://localhost/refbase/Papers/Aarts/Goal%20contagion:%20Perceiving%20is%20for%20pursuing.pdf,Abstract goes here.,"exported from refbase (http://ista.scp.rochester.edu/refbase/show.php?record=15), last updated on Tue, 17 Nov 2009 10:23:27 -0500",1,2009-12-11,2009-12-11')) closeAllConnections() (sorry, I know that's going to get all screwed up by word wrapping). Next split out the keywords into separate columns, and then combine them again into a value column: library(ggplot2) Refs <- as.data.frame(cbind(Refs, colsplit(Refs$Keywords, split="; ", names="Keyword"))) Refs <- melt(Refs, measure.vars=31:45) And then that's were I get stuck. I have authors and keywords for each publication, but I'm not sure how you want this represented. -Ista On Fri, Dec 11, 2009 at 9:04 AM, Schwan <s.s.hosse...@utwente.nl> wrote: > Thanks, but how should I put the citation inside a data frame? > > data.frame(first txt file, second txt file...) > plot (what should I insert here????) type="p" > > And how should I load the txt files anyway inside the frame? > > > > > > > On Fri, 2009-12-11 at 08:37 -0500, Ista Zahn wrote: >> It sounds pretty simple so far. Just put the citation info in a data >> frame, and plot it. I would use ggplot2 for plotting, but it could be >> done in base or lattice too. >> >> On Fri, Dec 11, 2009 at 8:04 AM, Schwan <s.s.hosse...@utwente.nl> wrote: >> > Ok good question I havent explain! >> > >> > Well,lets keep it simple for the begining. By analyzing the >> > keywords(which can also include the authors name) I mean, >> > >> > 1) investigate in which paper the keyword occur and how often >> > 2) investigate if keywords occur together >> > >> > X axis can show the paper title (or authors name) >> > y axis shows the keywords >> > >> > if a keyword occurs more often in a paper then the dot on the graph >> > changes the color >> > >> > if keywords occur together then a symbol the same symbol appears. >> > >> > >> > >> > >> > >> > >> > >> > On Fri, 2009-12-11 at 04:33 -0800, nshephard wrote: >> >> >> >> >> >> Schwan wrote: >> >> > >> >> > Thanks for all the comments, >> >> > >> >> > and sorry about the unstructured question! I am trying to: >> >> > >> >> > 1: analyze keywords, names from Authors and year of publication from >> >> > citations (with abstracts) i downloaded fron various sites(these >> >> > downloads can be converted into ".txt" files as well) >> >> >> >> Sorry to bang the drum but what do you mean by "analyse", is it to simply >> >> count keywords and rank them, investigate which keywords occur together, >> >> look at trends in keywords by year or something else completely. >> >> >> >> Its a very general term (at least for me as I've no knowledge or >> >> experience >> >> of text mining)! >> >> >> >> Neil >> > >> > >> > -- >> > ------------------------------------------- >> > Hosseiny, MSc. S.S. (Seyed Schwan) >> > University of Twente Science and Technology >> > Meander, ME 322 >> > P.O. Box 217 7500 AE Enschede >> > The Netherlands >> > Phone +31 534892869 >> > Email: s.s.hosse...@utwente.n >> > >> > ______________________________________________ >> > 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. >> > >> >> >> > > > -- > ------------------------------------------- > Hosseiny, MSc. S.S. (Seyed Schwan) > University of Twente Science and Technology > Meander, ME 322 > P.O. Box 217 7500 AE Enschede > The Netherlands > Phone +31 534892869 > Email: s.s.hosse...@utwente.n > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ 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.