Keep on reading. R functions (including analyses and even plots in some cases) pproduce objects with various structures that are then summarized and displayed by other functions (which also produce objects), sometimes automagically. To "export" results to files or other software you need to know how to capture, manipulate, and extract from these objects. Keep on studying to learn how. There are also many good online tutorials. See here for some recommendations: https://www.rstudio.com/online-learning/#R
Of course, many of us would question why you would want to export results back to Excel, as R has far greater capabilities (you can even produce "dynamic" Word reports with R results using R and appropriate packages). But then again, we don't know your situation ... But if you can, in the long run you might be better off ditching Excel and gaining facility in R. It *does* require some time and effort, though. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Apr 25, 2016 at 7:53 PM, charles rockson via R-help <r-help@r-project.org> wrote: > Duncan, > What about converting your anova results in R back into csv or excel? > Thanks > Charles > > From: Duncan Murdoch <murdoch.dun...@gmail.com> > To: Jason Hernandez <jason.hernande...@yahoo.com>; "r-help@r-project.org" > <r-help@r-project.org> > Sent: Sunday, April 24, 2016 2:05 PM > Subject: Re: [R] Using read.csv() to import data > > On 24/04/2016 4:30 PM, Jason Hernandez via R-help wrote: >> I am just beginning to learn R, using _R for Dummies_ by Andrie de Vries and >> Joris Meys. I am using Windows 7, and RGui (64-bit) version 3.0.2. I have >> reached the chapter on "Getting Data Into and Out of R." But the code they >> use for importing data doesn't seem to be working for me. >> >> Their example is:> elements <- read.csv(file.path("f:", "elements.csv")) >> Since I don't have any such file, I am trying to use a file I have. I went >> to Excel, brought up my file titled JPH_data, and saved it as .csv (comma >> delineated) on my main hard drive C: >> >> Then I entered:> mammals <- read.csv(file.path("C:", "JPH_data.csv")) >> I got the following:Error in file(file, "rt") : cannot open the connection >> In addition: Warning message: >> In file(file, "rt") : >> cannot open file 'C:/JPH_data.csv': No such file or directory >> Aside from the obvious (how can it say "no such file or directory" when I >> just saved one such?), the "cannot open the connection" is also unexpected. >> What am I doing wrong here? >> Jason Hernandezno current affiliation > > By far the easiest ways to enter Windows file paths are using the > file.choose() and choose.files() functions. Do something like > > filename <- file.choose() # navigate to the file > mammals <- read.csv(filename) > > and you should be fine. The file.choose() function works on all > platforms; choose.files() works only on Windows (and has more options, > including allowing multiple files to be chosen). > > Duncan Murdoch > > ______________________________________________ > 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. > > > > [[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. ______________________________________________ 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.