A good function to know about is names(). For example... ft <- fisher.test( my.data ) names(ft)
Produces the following listing... [1] "p.value" "conf.int" "estimate" "null.value" "alternative" "method" "data.name" You can then access any of those attributes with the "$" operator as you did with p.value On 20 September 2010 12:03, selthy <sel...@hotmail.com> wrote: > > Great! I'm loving this forum. I'm slowly teaching myself the basics of R, but > in the meantime this is saving me a lot of time in the data analysis phase > (I'm a molecular biologist). Thanks again! > -- > View this message in context: > http://r.789695.n4.nabble.com/Converting-tables-to-matrices-tp2543309p2546450.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
