search for: sankalp

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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