Hi Jim
r-help-boun...@r-project.org napsal dne 26.01.2009 15:44:32:
> >From your original posting:
>
> > 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
> 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
seems like you added patientinformation1, but still use pat1 i
>From your original posting:
> 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 tapp
Hi Jim,
I run the following code
*ds <- read.csv(file="D:/Shreyasee laptop data/ASC Dataset/Subset of the ASC
Dataset.csv", header=TRUE)
> attach(ds)
> str(dos)*
I am getting the following message:
*Factor w/ 12 levels "-00-00","6-Aug",..: 6 6 6 6 6 6 6 6 6 6 ...*
Thanks,
Shreyasee
On
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 wrote:
> Hi Jim,
>
> I tried the code which u provided.
> In place of "dos" in command "pat1 <- rbinom(length(dos), 1,
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"), fun
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 wrote:
> Hi Jim,
>
> I need to calculate the missing values in variable "patientinformation1" for
> the period of May 2006 to
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 missi
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"), functi
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, patientinf
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 wrote:
> Hi,
>
> I have imported one dataset in R.
> I want to calculate
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" && patientinfor
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