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 <chocold12 at 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 <chocold12 at gmail.com>
wrote:
>
> > Thanks. Then what should I do to solve the problem?
> >
> > On Tue, Sep 20, 2016 at 4:30 PM, Jeff Newmiller <
> jdnewmil at 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 <chocold12 at
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 <fanjianling
at 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 <chocold12 at
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
<538280 at 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
<chocold12 at 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 at 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.
> >> >> >> 538280 at gmail.com
> >> >> >>
> >> >> >
> >> >> > [[alternative HTML version deleted]]
> >> >> >
> >> >> > ______________________________________________
> >> >> > R-help at 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
> >> >> ???
> >> >>
> >> >
> >> > [[alternative HTML version deleted]]
> >> >
> >> >______________________________________________
> >> >R-help at 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 at 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
JoeCeradini at gmail.com / 914.707.8506
wyocoopunit.org
[[alternative HTML version deleted]]
Yes, I tried to add this statement when reading the dataset. But when I use summary(df), it shows: Discharge Length: Class :character Mode :character On Tue, Sep 20, 2016 at 5:06 PM, Joe Ceradini <joeceradini at gmail.com> wrote:> 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 <chocold12 at 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 <chocold12 at gmail.com> wrote: >> >> > Thanks. Then what should I do to solve the problem? >> > >> > On Tue, Sep 20, 2016 at 4:30 PM, Jeff Newmiller < >> jdnewmil at 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 <chocold12 at 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 <fanjianling at 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 <chocold12 at 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 <538280 at 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 <chocold12 at 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 at 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. >> >> >> >> 538280 at gmail.com >> >> >> >> >> >> >> > >> >> >> > [[alternative HTML version deleted]] >> >> >> > >> >> >> > ______________________________________________ >> >> >> > R-help at 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 >> >> >> ??? >> >> >> >> >> > >> >> > [[alternative HTML version deleted]] >> >> > >> >> >______________________________________________ >> >> >R-help at 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 at 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/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > > > > -- > Cooperative Fish and Wildlife Research Unit > Zoology and Physiology Dept. > University of Wyoming > JoeCeradini at gmail.com / 914.707.8506 > wyocoopunit.org > >[[alternative HTML version deleted]]
Which means it avoided converting to factor... Success! Note that the column apparently has garbage characters in one or more of the rows, which should be evident when you LOOK AT THE CHARACTERS in the column. They should all be numeric symbols, plus or minus, and perhaps decimal points. If they are not, then the conversion to numeric will be incomplete. See my other message. You have the choice of editing the file (may have concerns with traceability), or you can write R code that removes the garbage characters using gsub. -- Sent from my phone. Please excuse my brevity. On September 20, 2016 4:09:02 PM PDT, lily li <chocold12 at gmail.com> wrote:>Yes, I tried to add this statement when reading the dataset. >But when I use summary(df), it shows: >Discharge >Length: >Class :character >Mode :character > > >On Tue, Sep 20, 2016 at 5:06 PM, Joe Ceradini <joeceradini at gmail.com> >wrote: > >> 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 <chocold12 at 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 <chocold12 at gmail.com> >wrote: >>> >>> > Thanks. Then what should I do to solve the problem? >>> > >>> > On Tue, Sep 20, 2016 at 4:30 PM, Jeff Newmiller < >>> jdnewmil at 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 ><chocold12 at 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 ><fanjianling at 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 <chocold12 at 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 ><538280 at 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 ><chocold12 at 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 at 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. >>> >> >> >> 538280 at gmail.com >>> >> >> >> >>> >> >> > >>> >> >> > [[alternative HTML version deleted]] >>> >> >> > >>> >> >> > ______________________________________________ >>> >> >> > R-help at 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 >>> >> >> ??? >>> >> >> >>> >> > >>> >> > [[alternative HTML version deleted]] >>> >> > >>> >> >______________________________________________ >>> >> >R-help at 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 at 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/posti >>> ng-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> >> >> >> -- >> Cooperative Fish and Wildlife Research Unit >> Zoology and Physiology Dept. >> University of Wyoming >> JoeCeradini at gmail.com / 914.707.8506 >> wyocoopunit.org >> >>
>>>>> Joe Ceradini <joeceradini at gmail.com> >>>>> on Tue, 20 Sep 2016 17:06:17 -0600 writes:> read.csv("your_data.csv", stringsAsFactors=FALSE) > (I'm just reiterating Jianling said...) If you do not have very many columns, and want to become more efficient and knowledgeable, I strongly recommend alternatively to use the 'colClasses' argument to read.csv or read.table (they are the same apart from defaults for arguments!) and set "numeric" for numeric columns. This has a similar effect to the *combination* of 1) stringsAsFactors = FALSE 2) foo <- as.numeric(foo) # for respective columns Martin > Joe > On Tue, Sep 20, 2016 at 4:56 PM, lily li <chocold12 at 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 <chocold12 at gmail.com> wrote: >> >> > Thanks. Then what should I do to solve the problem? >> > >> > On Tue, Sep 20, 2016 at 4:30 PM, Jeff Newmiller < >> jdnewmil at 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 <chocold12 at 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 <fanjianling at 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 <chocold12 at 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 <538280 at 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 <chocold12 at 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 at 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. >> >> >> >> 538280 at gmail.com >> >> >> >> >> >> >> > >> >> >> > [[alternative HTML version deleted]] >> >> >> > >> >> >> > ______________________________________________ >> >> >> > R-help at 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 >> >> >> ??? >> >> >> >> >> > >> >> > [[alternative HTML version deleted]] >> >> > >> >> >______________________________________________ >> >> >R-help at 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 at 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 > JoeCeradini at gmail.com / 914.707.8506 > wyocoopunit.org > [[alternative HTML version deleted]] > ______________________________________________ > R-help at 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.