Thank-you Andy!!!!!! That works great now
Nat
__________________
I've run into this occasionally. My current solution is simply to read
it into Excel, re-format the offending column(s) by unchecking the
"thousand separator" box, and write it back out. Not exactly ideal to
say the least. If anyone can provide a better solution in R, I'm all
ears...
Andy
From: Natalie O'Toole>
> Hi,
>
> These are the variables in my file. I think the variable i'm having
> problems with is WTPP which is of the Factor type. Does
> anyone know how to
> fix this, please?
>
> Thanks,
>
> Nat
>
> data.frame': 290 obs. of 5 variables:
> $ PROV : num 48 48 48 48 48 48 48 48 48 48 ...
> $ REGION: num 4 4 4 4 4 4 4 4 4 4 ...
> $ GRADE : num 7 7 7 7 7 7 7 7 7 7 ...
> $ Y_Q10A: num 1.1 1.1 1.1 1.1 1.1 1.1 1.1 1.1 1.1 1.1 ...
> $ WTPP : Factor w/ 1884 levels
> "1,106.8250","1,336.5138",..: 1544 67
> 1568 40 221 1702 1702 1434 310 310 ...
>
>
> __________________
>
>
>
> --- Douglas Bates <bates@stat.wisc.edu> wrote:
>
> > On 4/28/07, John Kane <jrkrideau@yahoo.ca> wrote:
> > > IIRC you have a yes/no smoking variable scored 1/2
> > ?
> > >
> > > It is possibly being read in as a factor not as an
> > > integer.
> > >
> > > try
> > > class(df$smoking.variable)
> > > to see .
> >
> > Good point. In general I would recommend using
> >
> > str(df)
> >
> > to check on the class or storage type of all
> > variables in a data frame
> > if you are getting unexpected results when
> > manipulating it. That
> > function is carefully written to provide a maximum
> > of information in a
> > minimum of space.
>
> Yes but I'm an relative newbie at R and didn't realise
> that str() would do that. I always thought it was
> some kind of string function.
>
> Thanks, it makes life much easier.
>
> > >
> > > --- Natalie O'Toole <notoole@mtroyal.ca> wrote:
> > >
> > > > Hi,
> > > >
> > > > I'm getting an error message:
> > > >
> > > > Error in df[, 1:4] * df[, 5] : non-numeric
> > argument
> > > > to binary operator
> > > > In addition: Warning message:
> > > > Incompatible methods ("Ops.data.frame",
> > > > "Ops.factor") for "*"
> > > >
> > > > here is my code:
> > > >
> > > >
> > > > ##reading in the file
> > > > happyguys<-read.table("c:/test4.dat",
> > header=TRUE,
> > > > row.names=1)
> > > >
> > > > ##subset the file based on Select If
> > > >
> > > > test<-subset(happyguys, PROV==48 & GRADE == 7 &
> > > > Y_Q10A < 9)
> > > >
> > > > ##sorting the file
> > > >
> > > > mydata<-test
> > > > mydataSorted<-mydata[ order(mydata$Y_Q10A), ]
> > > > print(mydataSorted)
> > > >
> > > >
> > > > ##assigning a different name to file
> > > >
> > > > happyguys<-mydataSorted
> > > >
> > > >
> > > > ##trying to weight my data
> > > >
> > > > data.frame<-happyguys
> > > > df<-data.frame
> > > > df1<-df[, 1:4] * df[, 5]
> > > >
> > > > ##getting error message here??
> > > >
> > > > Error in df[, 1:4] * df[, 5] : non-numeric
> > argument
> > > > to binary operator
> > > > In addition: Warning message:
> > > > Incompatible methods ("Ops.data.frame",
> > > > "Ops.factor") for "*"
> > > >
> > > > Does anyone know what this error message means?
> > > >
> > > > I've been reviewing R code all day & getting
> > more
> > > > familiar with it
> > > >
> > > > Thanks,
> > > >
> > > > Nat
> > > >
> > >
> > > >
> > >
> >
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