read.csv("your_data.csv", stringsAsFactors=FALSE)
(I'm just reiterating Jianling said...)Joe On Tue, Sep 20, 2016 at 4:56 PM, lily li <chocol...@gmail.com> wrote: > 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. -- Cooperative Fish and Wildlife Research Unit Zoology and Physiology Dept. University of Wyoming joecerad...@gmail.com / 914.707.8506 wyocoopunit.org [[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.
