I'm assuming based off of the information you have provided I think you may want to look into factor analysis. Try the psych package, it'll provide a good base. Plus you might want to look into cluster analysis and some other forms of grouping techniques.
On Wed, Sep 16, 2015 at 12:50 PM, Amelia Marsh via R-SIG-Finance < r-sig-finance@r-project.org> wrote: > Dear Forum, > > I need some direction and guidance. This perhaps may sound a vague > question, but I will try to be specific as far as possible. > > Recently I came to know about text analysis in R. Assuming I have analysts > reports regarding say 250 companies. I am aware that out of these 25 > companies, 5 companies have defaulted. I have been asked to apply principal > component analysis to each of these 25 companies to find out those words > which if are occurring in say the 26th companies Analyst report, it will > give me clear indication that this company will default. > > I understand this is really a vague question. To begin with, can Principal > Component Analysis be used for text and if yes, can someone give me some > direction or source. > > Regards > > Amelia > > _______________________________________________ > R-SIG-Finance@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-finance > -- Subscriber-posting only. If you want to post, subscribe first. > -- Also note that this is not the r-help list where general R questions > should go. > -- Regards Daniel Melendez ========================================================================= [[alternative HTML version deleted]] _______________________________________________ R-SIG-Finance@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. If you want to post, subscribe first. -- Also note that this is not the r-help list where general R questions should go.
