Re: [R] reading csv-data
Thank you all for your help. There was an easy solution to my problem: read.csv2(example.csv, dec=., header=TRUE) or Mean1 - as.numeric(as.character(Mean1)) -Johanna Lainaus Ivar Herfindal [EMAIL PROTECTED]: Thomas Lumley wrote: On Fri, 17 Jun 2005, Johanna Sundvik wrote: However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Your files must have some entries that are not numbers, such as . or something. R then can't tell that the field is supposed to be numeric. This may happen with missing data, in which case the na.strings= argument can be used to tell R how missing data are specified. You can convert the data to numeric as described in FAQ 7.10 -thomas I think the problem can be that you use read.csv2(), which expect a comma (,) as decimal-indicator (as is common in Scandinavia), and a semi-colon (;) as separator between columns. Either you should try read.csv(), or you can try read.csv2(example.csv, dec=., header=TRUE) Have a look at ?read.csv (read.csv2 is in the same help-text). Ivar __ 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 __ 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
[R] reading csv-data
Hi! I have had this problem for a long time. I have tried to study the manuals and search the mailing lists, but I can not solve this. I think there has to be one simple solution to this, but I just can not find it. I have saved the data in excel (csv-format). Then I read the data in R e.g. data - read.csv2(example.csv, header=TRUE) I look the data and it looks ok. E.g data Mean1 1 4.4332 2 8.5113 3 35.1624 4 9.1693 52.974 6 65.1578 7 43.2241 8 3.1278 9 5.3364 10 3.9767 However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Regards, Johanna Sundvik __ 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
Re: [R] reading csv-data
On Fri, 17 Jun 2005, Johanna Sundvik wrote: However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Your files must have some entries that are not numbers, such as . or something. R then can't tell that the field is supposed to be numeric. This may happen with missing data, in which case the na.strings= argument can be used to tell R how missing data are specified. You can convert the data to numeric as described in FAQ 7.10 -thomas __ 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
Re: [R] reading csv-data
Thomas Lumley wrote: On Fri, 17 Jun 2005, Johanna Sundvik wrote: However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Your files must have some entries that are not numbers, such as . or something. R then can't tell that the field is supposed to be numeric. This may happen with missing data, in which case the na.strings= argument can be used to tell R how missing data are specified. You can convert the data to numeric as described in FAQ 7.10 -thomas I think the problem can be that you use read.csv2(), which expect a comma (,) as decimal-indicator (as is common in Scandinavia), and a semi-colon (;) as separator between columns. Either you should try read.csv(), or you can try read.csv2(example.csv, dec=., header=TRUE) Have a look at ?read.csv (read.csv2 is in the same help-text). Ivar __ 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 __ 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
Re: [R] reading csv-data
In my experience, this has always been due to the presence of non-numeric values in the input. In the example you show, it is not obvious that there is any. I would start by first inspecting the input file very carefully, using a text editor outside of R. Since your example appears to have only one column of data, you could try reading it with the scan() function. This might produce additional information that would help you identify any non-numeric data. Using count.fields() on the data file might reveal something. If Mean1 is an element of data, then simply typing Mean1 at the prompt should produce a not found message. Yet Mean1 was found. Have you omitted something in your email, or is there another object named Mean1? -Don At 4:50 PM +0300 6/17/05, Johanna Sundvik wrote: Hi! I have had this problem for a long time. I have tried to study the manuals and search the mailing lists, but I can not solve this. I think there has to be one simple solution to this, but I just can not find it. I have saved the data in excel (csv-format). Then I read the data in R e.g. data - read.csv2(example.csv, header=TRUE) I look the data and it looks ok. E.g data Mean1 1 4.4332 2 8.5113 3 35.1624 4 9.1693 52.974 6 65.1578 7 43.2241 8 3.1278 9 5.3364 10 3.9767 However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Regards, Johanna Sundvik __ 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 -- -- Don MacQueen Environmental Protection Department Lawrence Livermore National Laboratory Livermore, CA, USA __ 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
Re: [R] reading csv-data
I've struggled with this myself in the past. I've recently started using the following: File - pair.txt # File name with path if different from getwd() readLines(File, n=9) The function readLines reads the first n lines as n individual character strings. From this, you can identify extra headers, the separate characters, etc. Then I can do something like the following: plot(count.fields(File, sep=\t)) The function count.fields also has arguments to specify a number of lines to skip before it starts to process the file, which can be helpful with multiple headers. After count.fields produces a constant result consistent with what I want, then I'm ready to use read.table or one of its variants like read.csv2. hope this helps. spencer graves Don MacQueen wrote: In my experience, this has always been due to the presence of non-numeric values in the input. In the example you show, it is not obvious that there is any. I would start by first inspecting the input file very carefully, using a text editor outside of R. Since your example appears to have only one column of data, you could try reading it with the scan() function. This might produce additional information that would help you identify any non-numeric data. Using count.fields() on the data file might reveal something. If Mean1 is an element of data, then simply typing Mean1 at the prompt should produce a not found message. Yet Mean1 was found. Have you omitted something in your email, or is there another object named Mean1? -Don At 4:50 PM +0300 6/17/05, Johanna Sundvik wrote: Hi! I have had this problem for a long time. I have tried to study the manuals and search the mailing lists, but I can not solve this. I think there has to be one simple solution to this, but I just can not find it. I have saved the data in excel (csv-format). Then I read the data in R e.g. data - read.csv2(example.csv, header=TRUE) I look the data and it looks ok. E.g data Mean1 1 4.4332 2 8.5113 3 35.1624 4 9.1693 52.974 6 65.1578 7 43.2241 8 3.1278 9 5.3364 10 3.9767 However, this Mean1 is categorical when it should be real numbers. Mean1 [1] 4.4332 8.5113 35.1624 9.1693 2.974 65.1578 43.2241 3.1278 5.3364 Levels: 2.974 3.1278 35.1624 4.4332 43.2241 5.3364 65.1578 8.5113 9.1693 Why R does not understand that this should be real numbers? What am I doing wrong here? Thanks for your help. Regards, Johanna Sundvik __ 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 __ 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
