respective columns.
Does anybody know a solution for this?
Regards,
Shreyasee
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body help me to identify where I went wrong and what I need to do
to proceed further?
Thanks,
Shreyasee
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Hi Romain,
I read that but it seems to be too vague.
Is there any detailed explanation available with simple examples?
Thanks,
Shreyasee
On Tue, Dec 8, 2009 at 5:55 PM, Romain Francois
wrote:
> Hi,
>
> Did you read the documentation that comes with the package.
>
> > require
t;
package?
Thanks in advance,
Shreyasee
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a
t;Paste special ->
values" option.
Then I imported the dataset into R and tried to plot histogram for this new
column.
At that time it gave an error *"Error in hist.default(third_var) : x should
be numeric"*
Kindly provide your suggestions on the same.
Thanks,
Shreyasee
On Th
7;x' must be
numeric"*
Can anybody guide me on this as to how should I plot the histogram for this?
Thanks,
Shreyasee
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PL
Thanks a lot
On Wed, May 27, 2009 at 7:55 PM, Jim Lemon wrote:
> Shreyasee wrote:
>
>> Hi,
>>
>> I searched a lot on the internet but was unable to find the function for
>> calculating the kappa statistics for intra-observer reliabilty.
>> Can anybody help m
Thanks a lot
On Wed, May 27, 2009 at 7:47 PM, Gavin Simpson wrote:
> On Wed, 2009-05-27 at 18:08 +0800, Shreyasee wrote:
> > Hi,
> >
> > I searched a lot on the internet but was unable to find the function for
> > calculating the kappa statistics for intra-observer
Hi,
I searched a lot on the internet but was unable to find the function for
calculating the kappa statistics for intra-observer reliabilty.
Can anybody help me in the this regards.
Thanks,
Shreyasee
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doing that, I need to plot the graph for each variable and
combine it in a single pdf file.
I highly appreciate all your help.
Thanks,
Shreyasee
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Thanks a lot.
It works...
On Tue, Mar 17, 2009 at 4:53 AM, David Winsemius wrote:
>
> options(scipen=10)
>
>
>
> On Mar 16, 2009, at 12:34 PM, Shreyasee wrote:
>
> Hello,
>>
>> I am having a dataset in which the values range from 0 - 70.
>>
guide me on this?
Thanks,
Shreyasee
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and provide
sing variables for each record.
It would be a great help if anybody can explain me how should I proceed.
Thanks,
Shreyasee
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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
:
*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 wrote:
> YOu can save the output of the tapply and then replicate it for each
> of the variables. The data ca
ulates 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 wrote:
> Here is an example of how you might approach it:
>
> > dos <- seq(as.Date('2006-05-0
, 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 wrote:
> What does you data look like? You could use 'split' and then examine
> the data in each range to
ay-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
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statistical test like Chi-Square test.
Thanks,
Shreyasee
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don't understand where I went I wrong.
I will definitely try the following commands.
Thanks,
Shreyasee
On Wed, Aug 13, 2008 at 12:02 PM, Senthil Kumar M
<[EMAIL PROTECTED]>wrote:
> On Tue, Aug 12, 2008 at 9:24 PM, Shreyasee Pradhan
> <[EMAIL PROTECTED]> wrote:
> > Hi,
commands very well.
Thanks,
Shreyasee
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and provide
Hey Guys,
Thanks for the suggestions and instant reply.
merge(df1, df2, all=TRUE)
worked for my datasets.
And yes, I had rename the columns before doing that, as there were special
characters in the variables.
Thanks,
Shreyasee
On Wed, Aug 6, 2008 at 10:42 PM, John Kane <[EMAIL PROTEC
the results, only common codes are seen and the remaining
entries are not seen.
Can anyone guide me in this regards?
How should I merge these two datasets completely without loss of any
information?
Thanks,
Shreyasee
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