Is there a function in read.csv that I can use to avoid converting numeric to factor? Thanks a lot.
On Tue, Sep 20, 2016 at 4:42 PM, lily li <chocol...@gmail.com> wrote: > Thanks. Then what should I do to solve the problem? > > On Tue, Sep 20, 2016 at 4:30 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> > wrote: > >> I suppose you can do what works for your data, but I wouldn't recommend >> na.rm=TRUE because it hides problems rather than clarifying them. >> >> If in fact your data includes true NA values (the letters NA or simply >> nothing between the commas are typical ways this information may be >> indicated), then read.csv will NOT change from integer to factor >> (particularly if you have specified which markers represent NA using the >> na.strings argument documented under read.table)... so you probably DO have >> unexpected garbage still in your data which could be obscuring valuable >> information that could affect your conclusions. >> -- >> Sent from my phone. Please excuse my brevity. >> >> On September 20, 2016 3:11:42 PM PDT, lily li <chocol...@gmail.com> >> wrote: >> >I reread the data, and use 'na.rm = T' when reading the data. This time >> >it >> >has no such problem. It seems that the existence of NAs convert the >> >integer >> >to factor. Thanks for your help. >> > >> > >> >On Tue, Sep 20, 2016 at 4:09 PM, Jianling Fan <fanjianl...@gmail.com> >> >wrote: >> > >> >> Add the "stringsAsFactors = F" when you read the data, and then >> >> convert them to numeric. >> >> >> >> On 20 September 2016 at 16:00, lily li <chocol...@gmail.com> wrote: >> >> > Yes, it is stored as factor. I can't check out any problem in the >> >> original >> >> > data. Reread data doesn't help either. I use read.csv to read in >> >the >> >> data, >> >> > do you think it is better to use read.table? Thanks again. >> >> > >> >> > On Tue, Sep 20, 2016 at 3:55 PM, Greg Snow <538...@gmail.com> >> >wrote: >> >> > >> >> >> This indicates that your Discharge column has been >> >stored/converted as >> >> >> a factor (run str(df) to verify and check other columns). This >> >> >> usually happens when functions like read.table are left to try to >> >> >> figure out what each column is and it finds something in that >> >column >> >> >> that cannot be converted to a number (possibly an oh instead of a >> >> >> zero, an el instead of a one, or just a letter or punctuation mark >> >> >> accidentally in the file). You can either find the error in your >> >> >> original data, fix it, and reread the data, or specify that the >> >column >> >> >> should be numeric using the colClasses argument to read.table or >> >other >> >> >> function. >> >> >> >> >> >> >> >> >> >> >> >> On Tue, Sep 20, 2016 at 3:46 PM, lily li <chocol...@gmail.com> >> >wrote: >> >> >> > Hi R users, >> >> >> > >> >> >> > I have a problem in reading data. >> >> >> > For example, part of my dataframe is like this: >> >> >> > >> >> >> > df >> >> >> > month day year Discharge >> >> >> > 3 1 2010 6.4 >> >> >> > 3 2 2010 7.58 >> >> >> > 3 3 2010 6.82 >> >> >> > 3 4 2010 8.63 >> >> >> > 3 5 2010 8.16 >> >> >> > 3 6 2010 7.58 >> >> >> > >> >> >> > Then if I type summary(df), why it converts the discharge data >> >to >> >> >> levels? I >> >> >> > also met the same problem when reading some other csv files. How >> >to >> >> solve >> >> >> > this problem? Thanks. >> >> >> > >> >> >> > Discharge >> >> >> > 7.58 :2 >> >> >> > 6.4 :1 >> >> >> > 6.82 :1 >> >> >> > 8.63 :1 >> >> >> > 8.16 :1 >> >> >> > >> >> >> > [[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. >> >> >> >> >> >> >> >> >> >> >> >> -- >> >> >> Gregory (Greg) L. Snow Ph.D. >> >> >> 538...@gmail.com >> >> >> >> >> > >> >> > [[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. >> >> >> >> >> >> >> >> -- >> >> Jianling Fan >> >> 樊建凌 >> >> >> > >> > [[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. >> >> > [[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.
