Bogdan, the request was for data in dput() format. Type ?dput for more information.
Do dput(myfile) copy the ouput and paste into the email You should get something like: structure(list(c1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L), .Label = c("(0.509,0.614]", "(0.614,0.718]", "(0.718,0.822]", "(0.822,0.926]", "(0.926,1.03]", "(1.03,1.13]", "(1.13,1.24]", "(1.24,1.34]", "(1.34,1.45]", "(1.45,1.55]" ), class = "factor"), s1 = c(0.51, 0.52, 0.58, 0.58, 0.59, 0.6, 0.63, 0.65, 0.68, 0.74, 0.74, 0.75, 0.77, 0.77, 0.77, 0.78, 0.79, 0.84, 0.84, 0.85, 0.87, 0.93, 0.93, 0.95, 0.99, 1.04, 1.09, 1.11, 1.13, 1.14, 1.14, 1.14, 1.17, 1.18, 1.19, 1.22, 1.22, 1.23, 1.28, 1.29, 1.3, 1.32, 1.37, 1.38, 1.38, 1.4, 1.43, 1.47, 1.52, 1.55 )), .Names = c("c1", "s1"), row.names = c(NA, -50L), class = "data.frame") Data in duput() format is the preferred way to get data in R-help since it provides a perfect copy of what you have on your machine. Any other way of providing data risks the recipients reading it into R differently than it is on your machine. John Kane Kingston ON Canada > -----Original Message----- > From: tan...@gmail.com > Sent: Fri, 29 May 2015 13:58:20 -0700 > To: sarah.gos...@gmail.com > Subject: Re: [R] about transforming a data.frame > > Hi Sarah, > > thank you for your help. I have simplified the example, by reading the > elements in a data frame, eg : > > df <- data.frame (row_names = c("B4:B5:B6", "B7:B8:B9", "D4:D5:D6", > "D10:D11:D12", "D10:D11:D12", "E10:E11:E12", "A1:A2:A3", "B10:B11:B12"), > col_names = c > ("B1:B2:B3","B1:B2:B3","H4:H5:H6","F10:F11:F12","H1:H2:H3","G7:G8:G9","D1:D2:D3","B1:B2:B3"), > CT = c(5,2,2,2,2,2,4,4) ) > > I have used the the count() in the plyr package : > > count_row_names <- count(df$row_names) > count_col_names <- count(df$col_names) > > however, I would need to correlate these UNIQUE ELEMENTS in the columns > "row_names" or "col_names" with the numbers they associate in the CT > columns, eg : > > ""B1:B2:B3" associate with "5, 2, 4" (in CT column), or "D10:D11:D12" > associate with "2" (in the CT column). > > thank you very much, > > bogdan > > > > > On Fri, May 29, 2015 at 1:32 PM, Sarah Goslee <sarah.gos...@gmail.com> > wrote: > >> Hi, >> >> Please use dput() to provide your data, as it can get somewhat mangled >> by copy and pasting, especially if you post in HTML (as you are asked >> not to do in the posting guide). >> >> What is a unique element? is "B4:B5:B6" an element, or are "B4" and >> "B5" each elements? That is, what is the result you expect to obtain >> for the sample data you provided? >> >> What code have you tried? I would think table() might be involved, and >> possibly strsplit(), but will refrain from putting more time into this >> until you provide a reproducible dataset with dput() and some clearer >> idea of your intent. >> >> Sarah >> >> On Fri, May 29, 2015 at 4:19 PM, Bogdan Tanasa <tan...@gmail.com> wrote: >>> Dear all, >>> >>> I would appreciate a suggestion on the following : I am working with a >>> data.frame (below) : >>> >>> EXP CT row_names col_names >>> 1 test -5 B4:B5:B6 B1:B2:B3 >>> 2 test -2 B7:B8:B9 B1:B2:B3 >>> 3 test -2 D4:D5:D6 H4:H5:H6 >>> 4 test -2 D10:D11:D12 F10:F11:F12 >>> 5 test -2 D10:D11:D12 H1:H2:H3 >>> 6 test -2 E10:E11:E12 G7:G8:G9 >>> 7 test -4 A1:A2:A3 D1:D2:D3 >>> 8 test -4 B10:B11:B12 B1:B2:B3 >>> >>> what would be the easiest way to consider UNIQUE elements in the >> ROW_NAMES >>> or the UNIQUE elements in the COL_NAMES and : >>> >>> print how many times these UNIQUE ELEMENTS associate with the numbers >>> -5, >>> -2, or -4 (these numbers are on the column names CT) .. >>> >>> thanks, >>> >>> bogdan >>> >> -- >> Sarah Goslee >> http://www.functionaldiversity.org >> > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ____________________________________________________________ FREE ONLINE PHOTOSHARING - Share your photos online with your friends and family! Visit http://www.inbox.com/photosharing to find out more! ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.