I would assume that you would use 'read.csv'. I don't know where you got the syntax for "summary";
x <- read.csv(("C:\\Documents\\R_dfiles\\H_N_T.csv",as.is=TRUE) summary(x) On Mon, Oct 17, 2011 at 2:56 PM, Sally Ann Sims <sallys...@earthlink.net> wrote: > Hello, > > I need some help getting started with data analysis. I’m having trouble > getting R to read my data file. I’ve referred to various R help > documentation, the website, and FAQs, but I don’t see my situation listed. > > I saved an Excel file (post-2007 Excel version) of data as a “.csv” file. > However, the file still appears in column format when I open it. Does that > happen when you save a an Excel file in .csv format? I have used the > function file.choose() to pull in the file into R. When I use the summary > command I get: > > summary("C:\\Documents\\R_dfiles\\H_N_T.csv",header=TRUE,as.is=TRUE) > Length Class Mode > 1 character character > But the data table actually has five columns and 1000 rows (example of first > two lines): > > OBJECTID X Y elev HB_NHB > 1 265712.1 90770.42 7.6372 0 > > > When I look at the .csv file, I see that the OBJECTID cell is selected so I > think R is just reading the one cell as my data. How can I get R to read the > all the data rows and columns? Is there a way to clear the one-cell > selection status? Or perhaps there is another issue that needs addressing. > I would like to get this data table configured into R as a dataframe. > > Thank you, > Sally > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? ______________________________________________ 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.