0.4
2 97 7345.7 1 -7255.3
Thanks, Suresh
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ze the
subset structure: so I do not want to just reset the levels with F to TG
and then examine the regression.
Thanks much,
Suresh
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g?
thanks
suresh
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Ok. So, I assume that colours based on the value-range of independent
variables would be similar.
Will try..
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great !
looks good. I am sure, it'd work.
Thanks a lot !
Regards,
Suresh
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variables.
Please help.
Thank you.
Regards,
Suresh
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Dear R-experts,
Using persp3d and surface3d, I have two surfaces. I would like to plot the
projection of interesection of these two planes on X-Y plane --> such that I
could see a vertical 3D plane.
Any suggestions in this regard?
Thank you.
Regards,
Suresh
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ad.csv("padded.csv",header = TRUE,as.is = c("code2"))
thanks,
Suresh
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). We do not know apriori what the order is beforehand - these ranks
are dependent because the same individual selects them
I am calling the 1st situation - ordered logit and 2nd situation - rank
ordered logit.
Are these equivalent situations and is polr suited for both?
Suresh
On Fri, Jul 16
Is there a package in R that can run rank-ordered logit?
Thanks,
Suresh
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any other option: specifically, any option
that handled nonlinear fitting with quasi-Poisson distributions (to handle
the overdispersion).
This is a very new area for me, and I am still trying to figure out the
best way to do this, so I would appreciate any and all pointers.
Thanks mu
Is there a package in R for XTFEVD procedure (Plümper & Troeger)?
Also, are there any examples of Hausman-Taylor implementation in R?
I understand that it can be done using plm package but could not find
examples with actual data
Thank you,
Suresh Singh
Fisher College of Business
The Ohio S
I have not been able to find a way to do dense rank in R
Here is an example of what I need
rank() gives the following
5 rank 1
7 rank 2
7 rank 2
9 *rank 4*
but I want
5 rank 1
7 rank 2
7 rank 2
9 *rank 3*
*
*
thanks
SS
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ssion) and so I guess I am throwing away a lot of
information.
Very best,
Suresh
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printed out in
R that I can directly implement in SQL? Or is the only way to do this is to
use a wrapper and call R through SQL and predict the value?
Thanks
Suresh
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https
amily=gaussian option. Perhaps this is for normalized data ?
Suresh
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struggle with Catherine's Loader book in order to
understand the above paragraph deeply enough that this behavior makes
sense.
Thanks again, Suresh
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understand why there is such a
difference between the two. If there is a simple explanation or
recommendation, I am eager to hear it.
Thanks, Suresh
On Tue, 03 Mar 2009 16:56:43 +0100, Suresh Krishna
wrote:
Dear list members,
I am trying to understand this output from the smoothing package
Using band="local" gives results that seem to make "more sense". Could
someone offer me some guidance ?
Thanks, Suresh
ps. The package maintainer, Catherine Loader, is no longer reachable at
her Auckland address.
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One possibility is to save in ASCII format from Matlab (save -ascii)
Suresh
> On 17/11/2007, Prof Leslie Smith <[EMAIL PROTECTED]> wrote:
>> Is there any way to read these files (standard .mat files, created by
>> matlab version 7 onwards are compressed)? I know that R.m
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