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 in the
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 the command for
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
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.prad...@gmail.com wrote:
Hi,
I have imported one dataset in
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,
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)
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
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.prad...@gmail.com wrote:
Hi Jim,
I need to calculate the missing values in variable patientinformation1 for
the
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)
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.prad...@gmail.com wrote:
Hi Jim,
I tried the code which u provided.
In place of dos in command pat1 -
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 Mon, Jan
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