Hi Jim,

The dataset has 4 variables (dos, patientinformation1, patientinformation2,
patientinformation3).
In dos variable ther are months (May 2006 to March 2007) when the surgeries
were formed.
I need to calculate the percentage of missing values for each variable
(patientinformation1, patientinformation2, patientinformation3) for each
month.
I need a common script to calculate that for each variable.

Thanks,
Shreyasee


On Mon, Jan 26, 2009 at 9:46 AM, jim holtman <jholtman@gmail.com> wrote:

> What does you data look like?  You could use 'split' and then examine
> the data in each range to count the number missing.  Would have to
> have some actual data to suggest a solution.
>
> On Sun, Jan 25, 2009 at 8:30 PM, Shreyasee <shreyasee.pradhan@gmail.com>
> wrote:
> > Hi,
> >
> > I have imported one dataset in R.
> > I want to calculate the percentage of missing values for each month (May
> > 2006 to March 2007) for each variable.
> > Just to begin with I tried the following code :
> >
> > *for(i in 1:length(dos))
> > for(j in 1:length(patientinformation1)
> > if(dos[i]=="May-06" && patientinformation1[j]=="")
> > a <- j+1
> > a*
> >
> > The above code was written to calculate the number of missing values for
> May
> > 2006, but I am not getting the correct results.
> > Can anybody help me?
> >
> > Thanks,
> > Shreyasee
> >
> >        [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > 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.
> >
>
>
>
> --
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
>
> What is the problem that you are trying to solve?
>

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