Dear , Madam/Sir I'm student doing master in statistics, I'd like to know how i can set data in R and apply meta-analysis. i have tries many ways but I'm really stuck. i really appreciate if you can help me in this matter. Mohammed Owlowa --------------------------------- [[alternative HTML version deleted]]
Hello Mohammed, On Sun, Mar 30, 2008 at 11:26 PM, mohammed alawa <osaf_333 at yahoo.com> wrote:> I'm student doing master in statistics, I'd like to know how i can set data in R and apply meta-analysis. i have tries many ways but I'm really stuck."PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code." Show us what you tried, and be more specific in want you want to do. For novices Rcmdr is often a helpful reference, since you can perform a good deal of basic statistics analyses graphically, that is by only point-and-clicking. Liviu
Hi 1. Install R 2. Read some intro documents (doc folder) 3. Try to reproduce simple examples from let say R-intro.pdf and/or R-data.pdf 4. Try to follow examples with your data 5. When there is an error read a message and try to get some explanation in help page associated with particular command 6. If this does not lead to success, make a simple reproducible example and post it together with your question.>From what you write, I deduct that ?read.table and maybe ?reshape could beyour first choice. Regards Petr petr.pikal at precheza.cz r-help-bounces at r-project.org napsal dne 30.03.2008 23:26:42:> Dear , Madam/Sir > > I'm student doing master in statistics, I'd like to know how i can setdata> in R and apply meta-analysis. i have tries many ways but I'm reallystuck.> i really appreciate if you can help me in this matter. > > Mohammed Owlowa > > > > > --------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.