On Thu, 21 Sep 2006, Al-Kharusi, L. wrote: > Dear Sir/Madam, > > > I am encountering one of those alien computer momements one finds every > so often in life. See the sequence below: > > > fish3.fis <-read.csv("emperor2.csv", check.names = TRUE, strip.white = > TRUE) > > colnames(fish3.fis) > [1] "Month" "Year" "FishingArea" > "SumOfTotalCatch" "CPUE" > [6] "rCPUE" "PA" "Latitude" "Longitude" > "Depth" > [11] "SST" > > hist(CPUE) > Error in hist(CPUE) : Object "CPUE" not found
hist(fish3.fis$CPUE) CPUE is inside the data.frame object and so cannot be "seen" in the workspace. Reviewing: http://cran.r-project.org/doc/manuals/R-intro.html#Data-frames may help. > > So, the system knows CPUE exists, but will not do a hist or a gam model > using the term - but for some strange reason it will do a plot. I have > created a completely different data file and that same problem is > happening. The imported files are exactly the same as I was using quite > happily last month. > > As you will see from the above I've tried adding check.names and > strip.white in the reading in process to avoid the unseen effect of > blank spaces. > > Any ideas what I might do next? Have you come across this issue at all? > > Thanks > > > Lubna Al-Kharusi > PhD student (GIS) > Department of Geography > University of Leicester > University Road > Leicester > LE1 7RH > mobile # 07886990332 > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch 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.