Dear Bart! Thanks for the question! It might be irrelevant for you!.However I am sure it is relevant for some other people!
First there might be a some R package which could be solve this statistical problem, so the people who knows the commend of the package could help me- Second somebody who is interested in writing R package might write a new Relative importance package which solve this kind of questions. R programming and statistics should be also relevant to current problems of the society, shouldn't they? Best regards Solmaz Filiz Karabag On Mon, Dec 3, 2012 at 5:25 AM, Bert Gunter <gunter.ber...@gene.com> wrote: > What does this have to do with R?! This is nonsense. > > -- Bert > > On Sun, Dec 2, 2012 at 6:34 PM, Jim Lemon <j...@bitwrit.com.au> wrote: > >> On 12/02/2012 08:18 PM, Solmaz Filiz KARABAÄ wrote: >> >>> Dear R user! >>> I have a small question! >>> I have calculated the relative importance of the variables. >>> >>> However I would like to compare the relative importance of two different >>> groups of variables (i.e Strategy and industry) >>> >>> For example let me say that strategy has 2 sub varialbes and industry has >>> four different variables! >>> >>> Can I simply add the importance of those four industry variables >>> importance >>> over each other and say that the importance level of industry is the >>> total >>> of those four varibales' importance? >>> Can I also do the same thing and add the importance of two strategic >>> variables and have a strategic level importance? >>> >>> After these simple calculation, can I compare the importance of those >>> groups? >>> >>> Hi Solmaz, >> There are two ways to combine related variables that are generally >> accepted. The cold, hard, arms-length method is to see whether those >> variables are covarying to the extent that we can legitimately infer that >> an underlying variable is responsible for that covariance. Say that your >> strategy measures 1) how long you spent developing that strategy and 2) how >> many sources of information you consulted. These two measures are likely to >> involve the underlying behavior of extensive preparation for developing a >> strategy rather than just having a couple of beers and flipping a coin. So >> the beer-flippers are likely to score low on both measures and the slow >> swots are likely to score high and principal components analysis or similar >> will get you through. >> >> The second method is to convince people that they go together. Instead of >> applying the black box of mathematic analysis, one shines the clear light >> of logic upon the problem. It is apparent to anyone with the normal quota >> of neurons that expended time and verified sources of information are more >> likely to be applied together in developing a good strategy and so on. If >> you are important or persuasuve enough, you may get away with mere >> assertion. If not, you must appeal to the authority of others, particularly >> those who have already demonstrated some quantitative association between >> the measures. >> >> Reality usually involves performing the first method, and if this does >> not produce the desired result, trying to find support in the literature >> for the result you would like. You can of course just baldly state that you >> are combining the variables in a particular way beacuse you think it makes >> sense and apply the empirical test of whether anyone buys your story. >> >> Jim >> >> ______________________________**________________ >> 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. >> > > > > -- > > Bert Gunter > Genentech Nonclinical Biostatistics > > Internal Contact Info: > Phone: 467-7374 > Website: > > http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm > > > -- Solmaz Filiz KARABAG [[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.
