search for: crossreferenc

Displaying 4 results from an estimated 4 matches for "crossreferenc".

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2009 Dec 14
0
Rd cross-references ... WARNING in R-2.10.*
I have observed a difference in behavior of R CMD check in older R vs R-2.10.x on windows. * using R version 2.10.0 (2009-10-26) * using R version 2.10.1 RC (2009-12-14 r50718) 2.10 seems to be looking on the internet for crossreferenced packages. I am not sure why it is looking. The string <pkg> is not in any of the Rd files. I think it is not finding any CRAN sites because I am currently behind a firewall. I have attempted several variations of R --internet2 CMD check --no-examples --no-latex packagename and no posit...
2017 Sep 05
0
Strange lazy evaluation of default arguments
Mathias, If it's any comfort, I appreciated the example; 'expected' behaviour maybe, but a very nice example for staff/student training! S Ellison > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Matthias > Gondan > Sent: 02 September 2017 18:22 > To: r-help at r-project.org > Subject: [R] Strange lazy evaluation of
2003 Sep 28
1
Apache under attack and eating resources?
...httpd in free(): warning: page is already free FATAL: emalloc(): Unable to allocate 40 bytes Allowed memory size of 8388608 bytes exhausted (tried to allocate 10 bytes) httpd in free(): warning: chunk is already free My logs are filling up with these, and I'm not sure where to look. Crossreferencing the times with vhost error logs and access logs isn't turning up anything spectacular. The loads around the times when this occurs aren't staggering either, so I'm thinking perhaps someone is DoS'ing my machine :-/ Has anyone else seen this problem recently? I found some posts...
2017 Sep 02
6
Strange lazy evaluation of default arguments
Dear R developers, sessionInfo() below Please have a look at the following two versions of the same function: 1. Intended behavior: > Su1 = function(u=100, l=u, mu=0.53, sigma2=4.3^2) + { + print(c(u, l, mu)) # here, l is set to u?s value + u = u/sqrt(sigma2) + l = l/sqrt(sigma2) + mu = mu/sqrt(sigma2) + print(c(u, l, mu)) + } > > Su1() [1] 100.00 100.00 0.53 [1]