Displaying 5 results from an estimated 5 matches for "sankalp".
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sambalp
2008 Feb 20
4
OpenSSH and X.509 Certificate Support
...required patches to dowload for OpenSSH to support X.509
certificates.
I am using FC6 and have followed the steps mentioned in the above post,
but I am unable to successfully complete the task :(
Is there any step-by-step procedure that I could refer to to achieve the
same?
Thanks and Regards,
Sankalp
2008 Mar 13
0
[Fwd: Re: OpenSSH and X.509 Certificate Support]
...d certificate without any subject line checking).
In Apache this is very much possible via mod_ssl as described in
http://www.modssl.org/docs/2.8/ssl_howto.html#ToC6 .
Can a similar behavior be emulated in OpenSSH using the X.509 patch?
Please let me know your comments.
Thanks and Best Regards,
Sankalp
-------- Original Message --------
Subject: Re: OpenSSH and X.509 Certificate Support
Date: Wed, 12 Mar 2008 17:21:26 +0530
From: sankalp_karpe <sankalp_karpe at persistent.co.in>
To: Roumen Petrov <openssh at roumenpetrov.info>
CC: OpenSSH Devel List <openssh-unix-dev at mind...
2004 Jun 30
1
Help!!
...ary by using the following
command.
> library(multilevel)
It says the package doesn't exist.
I really don't know how to proceed further. As I want to calculate Rwg
and ICC. I will be very thankful to you if you can help me in this
regard.
Thanking you
Best regards,
Sankalp
[[alternative HTML version deleted]]
2012 Oct 04
1
Is there any package for Vector Auto-regressive with exogenous variable other than fastVAR?
Is there any package for Vector Auto-regressive with exogenous variable other
than fastVAR?
Because it is not able to solve my problem of not taking the base in the
model.
Please suggest some appropriate solution!!!!
--
View this message in context: http://r.789695.n4.nabble.com/Is-there-any-package-for-Vector-Auto-regressive-with-exogenous-variable-other-than-fastVAR-tp4644964.html
Sent from
2008 Apr 08
4
Practical Data Limitations with R
We are new to R and evaluating if we can use it for a project we need to
do. We have read that R is not well suited to handle very large data
sets. Assuming we have the data prepped and stored in an RDBMS (Oracle,
Teradata, SQL Server), what can R reasonably handle from a volume
perspective? Are there some guidelines on memory/machine sizing based
on data volume? We need to be able to handle