[R] Plotting graph for Missing values

[jim holtman]

do:

str(dos)
str(patientinformation1)

They must be the same length for the command to work: must be a one to
one match of the data.

On Sun, Jan 25, 2009 at 10:23 PM, Shreyasee <shreyasee.pradhan at gmail.com> wrote:
> Hi Jim,
>
> I tried the code which u provided.
> In place of "dos" in command "pat1 <- rbinom(length(dos), 1, .5)  # generate
> some data"
> I added "patientinformation1" variable and then I gave the command for
> "tapply" but its giving me the following error:
>
> Error in tapply(pat1, format(dos, "%Y%m"), function(x) sum(x == 0)) :
>   arguments must have same length
>
>
> Thanks,
> Shreyasee
>
>
>
> On Mon, Jan 26, 2009 at 10:50 AM, jim holtman <jholtman at gmail.com> wrote:
>>
>> YOu can save the output of the tapply and then replicate it for each
>> of the variables.  The data can be used to plot the graphs.
>>
>> On Sun, Jan 25, 2009 at 9:38 PM, Shreyasee <shreyasee.pradhan at gmail.com>
>> wrote:
>> > Hi Jim,
>> >
>> > I need to calculate the missing values in variable "patientinformation1"
>> > for
>> > the period of May 2006 to March 2007 and then plot the graph of the
>> > percentage of the missing values over these months.
>> > This has to be done for each variable.
>> > The code which you have provided, calculates the missing values for the
>> > months variable, am I right?
>> > I need to calculate for all the variables for each month.
>> >
>> > Thanks,
>> > Shreyasee
>> >
>> >
>> > On Mon, Jan 26, 2009 at 10:29 AM, jim holtman <jholtman at gmail.com>
>> > wrote:
>> >>
>> >> Here is an example of how you might approach it:
>> >>
>> >> > dos <- seq(as.Date('2006-05-01'), as.Date('2007-03-31'), by='1 day')
>> >> > pat1 <- rbinom(length(dos), 1, .5)  # generate some data
>> >> > # partition by month and then list out the number of zero values
>> >> > (missing)
>> >> > tapply(pat1, format(dos, "%Y%m"), function(x) sum(x==0))
>> >> 200605 200606 200607 200608 200609 200610 200611 200612 200701 200702
>> >> 200703
>> >>    21     22     16     18     16     15     16     17     14     16
>> >> 13
>> >> >
>> >>
>> >>
>> >> On Sun, Jan 25, 2009 at 8:51 PM, Shreyasee
>> >> <shreyasee.pradhan at gmail.com>
>> >> wrote:
>> >> > 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 at 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 at 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 at 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?
>> >> >
>> >> >
>> >>
>> >>
>> >>
>> >> --
>> >> Jim Holtman
>> >> Cincinnati, OH
>> >> +1 513 646 9390
>> >>
>> >> What is the problem that you are trying to solve?
>> >
>> >
>>
>>
>>
>> --
>> Jim Holtman
>> Cincinnati, OH
>> +1 513 646 9390
>>
>> What is the problem that you are trying to solve?
>
>



-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem that you are trying to solve?