search for: steepli

Displaying 6 results from an estimated 6 matches for "steepli".

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2007 Sep 07
2
puppetmasterd memory usage
Hi, We have dedicated puppet master boxes, which basically only run a mongrel/puppetmasterd (6 instances), an apache proxy for mongrel and puppetd. Recently puppetmasterds seemed to have leaked almost all of the RAM, and the thrashing made the box painfully slow. We restarted the puppetmasterd processes, and started collecting some statistics. Attached is a graph of memory usage on one of the
2012 Oct 16
2
R Kaplan-Meier plotting quirks?
Hello. I apologize in advance for the VERY lengthy e-mail. I endeavor to include enough detail. I have a question about survival curves I have been battling off and on for a few months. No one local seems to be able to help, so I turn here. The issue seems to either be how R calculates Kaplan-Meier Plots, or something with the underlying statistic itself that I am misunderstanding. Basically,
2012 Oct 18
1
Kaplan-Meier plotting quirks
Better would be to use interval censored data. Create your data set so that you have (time1, time2) pairs, each of which describes the interval of time over which the tag was lost. So an animal first captured at time 10 sans tag would be (0,10); with tag at 5 and without at 20 would be (5,20), and last seen with tag at 30 would be (30, NA). Then survit(Surv(time1, time2,
2006 Aug 10
4
imap-login (proxy) Connection queue full
When running Dovecot (rc6 CVS dovecot-20060808) as a proxy, why would it log the following when it has not yet maxed out the allowed number of imap-login processes? Aug 10 16:23:34 director5 dovecot: imap-login: Disconnected: Connection queue full: I am seeing this logged several times per minute. From netstat, the server has 650 proxied IMAP connections and 450 proxied IMAPS connections, there
2004 Oct 26
3
GLM model vs. GAM model
I have a question about how to compare a GLM with a GAM model using anova function. A GLM is performed for example: model1 <-glm(formula = exitus ~ age+gender+diabetes, family = "binomial", na.action = na.exclude) A second nested model could be: model2 <-glm(formula = exitus ~ age+gender, family = "binomial", na.action = na.exclude) To compare these two GLM
2003 Mar 02
8
OT: PRI costs in US
Hello! Several of my customers would like to add a backup to their Internet connection. ISDN is a good solution: decently fast for a dial-up-type connection, yet still faily affordable. While I was at it, I decided to look at a couple of more creative telephone service options to possibly improve their service or lower costs at the same time. These customers range from having just a