Thanks for your response, What I need is extremely simple. And I suppose there are so many way to do it. But as I have so many files to do it, I am looking for the simplest way (if possible)
What I meant was that I have tables with the same numbers of rows and columns, (square form, should I say?) like: 2,5,7 3,4,8 2,9,3 5,3,8 2,5,5 5,7,8 But I have hundreds of this onces, (bigger once). Every one of this tables have the same size (columns, rows). And I want to obtain the sd, z-score, and p-value for the position [1,1], [1,2].... [2,1],[2,2]... etc etc. That is, to obtain a table with some simple descriptive statistics about all this tables. I have try different methods, but I am no familiar with R. (by the way, I could not find the way to do loops with R) Any suggestion is welcome. David --- Berton Gunter <[EMAIL PROTECTED]> wrote: > I don't know what a "quadratic, same size" table is > or what you mean. If you > do not get a satisfactory reply I suggest: > > 1. Read and follow the posting guide at the end of > this message. > > 2. In particular, provide a simple, reproducible > example to show what you > want to do and perhaps any error messages that you > may have received. > > > -- Bert Gunter > Genentech Non-Clinical Statistics > South San Francisco, CA > > > > -----Original Message----- > > From: [EMAIL PROTECTED] > > [mailto:[EMAIL PROTECTED] On > Behalf Of DAVID CAMACHO > > Sent: Thursday, September 22, 2005 9:10 AM > > To: [email protected] > > Subject: [R] Descriptive statistics for tables > > > > > > I have a lot (more than one hundred) of files with > tables of > > the same kind (quadratic, same size) and I want to > obtain > > some statistics for every position on them. > Therefore, as a > > result I want another table. I import every table, > and create > > an object read.table for it, then I have try to > create a > > list or a data frame and directly utilize some > functions > > like sd( ) without success, because it calculate > sd for the > > columns . Which kind of object should I create > in order to > > utilize directly this kind of functions? Should I > program it > > throw for loops? > > > > David > > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
