[R] create

[Val]

Hi Bert and Jim,
Thank you for the suggestion.
However, those missing values should not be replaced by 0's.
I want exclude those missing values from the calculation and create
the index using only the non-missing values.


On Sat, Apr 13, 2019 at 10:14 PM Jim Lemon <drjimlemon using gmail.com> wrote:
>
> Hi Val,
> For this particular problem, you can just replace NAs with zeros.
>
> vdat[is.na(vdat)]<-0
> vdat$xy <- 2*(vdat$x1) + 5*(vdat$x2) + 3*(vdat$x3)
> vdat
>  obs Year x1 x2 x3  xy
> 1   1 2001 25 10 10 130
> 2   2 2001  0 15 25 150
> 3   3 2001 50 10  0 150
> 4   4 2001 20  0 60 220
>
> Note that this is not a general solution to the problem of NA values.
>
> Jim
>
> On Sun, Apr 14, 2019 at 12:54 PM Val <valkremk using gmail.com> wrote:
> >
> > Hi All,
> > I have a data frame  with several  columns  and I want to  create
> > another  column  by using  the values of the other columns.  My
> > problem is that some the row values  for some columns  have missing
> > values  and I could not get  the result I waned .
> >
> > Here is the sample of my data and my attempt.
> >
> > vdat<-read.table(text="obs, Year, x1, x2, x3
> > 1,  2001, 25 ,10, 10
> > 2,  2001,  ,  15, 25
> > 3,  2001,  50, 10,
> > 4,  2001,  20, , 60",sep=",",header=TRUE,stringsAsFactors=F)
> > vdat$xy <- 0
> > vdat$xy <- 2*(vdat$x1) + 5*(vdat$x2) + 3*(vdat$x3)
> > vdat
> >
> >      obs Year x1 x2 x3  xy
> > 1   1 2001 25 10 10 130
> > 2   2 2001 NA 15 25  NA
> > 3   3 2001 50 10 NA  NA
> > 4   4 2001 20 NA 60  NA
> >
> > The desired result si this,
> >
> >    obs Year x1 x2 x3   xy
> > 1   1 2001 25 10 10   130
> > 2   2 2001 NA 15 25  150
> > 3   3 2001 50 10 NA  150
> > 4   4 2001 20 NA 60  220
> >
> > How do I get my desired result?
> > Thank you
> >
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