similar to: polygon kills X-server

Full_Name: Ludo Pagie Version: 2.10.0 OS: linux, ubuntu, 8.04 Submission from: (NULL) (83.163.218.221) when I make a polygon with 100,000 vertices my X-server is being killed. This occurs in R-2.9.0 and a freshly installed R-2.10.0 I'm running Ubuntu with a locally compiled R: uname -a Linux onyx 2.6.24-24-generic #1 SMP Tue Aug 18 16:22:17 UTC 2009 x86_64 GNU/Linux xlower = -2e6:2e6

Hello, I'm making a simple plot using xYplot in the Hmisc library and having problems with labeling the values on the x-axis. Using the reproducible example below, how can I have the text (jan, feb,mar, etc.) in place of 1:12. Thanks, AB x <- c(seq(0,0.5,by=0.1),seq(0.5,0,by=-0.1)) ci <- rnorm(12,0,sd=0.1) xupper <- x + ci xlower <- x - ci mo.fac <- c("jan",

I have a bunch of lines I want to plot using plotCI() What Id like to know is, how can I connect the points with a line and how can I print multiple lines on the same graph? -- View this message in context: http://www.nabble.com/plotCI----multiple-plots-on-same-graph-tp19435198p19435198.html Sent from the R help mailing list archive at Nabble.com.

Full_Name: Ludo Pagie Version: 2.8.1 OS: linux Submission from: (NULL) (194.171.7.39) p.adjust in stats seems to have a bug in handling n>length(p) for (at least) the methods 'holm' and 'hochberg'. For method 'holm' the relevant code: i <- 1:n o <- order(p) ro <- order(o) pmin(1, cummax((n - i + 1) * p[o]))[ro] where p is the

20 subjects were measured in 5 conditions (thus repeated measures) and for each subject in each condition there are 4 response measures (thus multivariate as it is a combined score that needs to be compared across the conditions). So, using a multivariate approach to repeated measures this is a doubly multivariate analysis. I would appreciate any suggestions as to the best way to do such a

Hello, I have 3 hdd (120 GB, 120 GB and 80 GB) mounted on /data1 , /data2 and /data3. All these drives must be shared via a public access with Samba. For the moment, I can only share the 'data1' directory. [public] path = /data1 Is there a possibility to share several disks under the same account ? By example : [public] path = /data1, /data2, /data3 Then, under Windows, I'd like

Hi ! I wanted to shape my analog modem connection so I took these two lines from the ''wondershaper'' script: tc qdisc add dev $DEV handle ffff: ingress #tc filter add dev $DEV parent ffff: protocol ip prio 50 u32 match ip \ src 0.0.0.0/0 police rate ${DOWNLINK} burst 10k drop flowid :1 with DEV=ppp0 and DOWNLINK=24kbit. But, when I activate it, nothing comes back from the

Hi all, there appears to be something strange with the plotting of tables of 1 dimension; if I attempt to make a plot of a table of characters with only 1 value I get an error (Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ). With more than one value I don't get errors, neither with integers (even if only 1 value): tbl.char1 <-

Hi all, there appears to be something strange with the plotting of tables of 1 dimension; if I attempt to make a plot of a table of characters with only 1 value I get an error (Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ). With more than one value I don't get errors, neither with integers (even if only 1 value): tbl.char1 <-

Hi, I have a box with XEN enabled. Specs : Gentoo 10.0 AMD64 XEN 4.0.0 The server is connected on our network through two physicals NIC. Actually, I''m using a VLAN on each NIC and bridge the domU in it. But now I must create an additional domU which should be in an different VLAN. The best solution is to set a trunk on the switch and use 802.1q directly on the dom0. I found this site

hello, I am beginning to asterisk. I have a sip trunk access to operator and VPN access with operator. i booked 10 sda numbers. IP adress asterisk : 192.168.600.1 IP adress operator : 192.168.700.50 i can ping on 192.168.700.50 # cat sip.conf [general] context=default srvlookup=yes port = 5060 disallow=all allow=gsm allow=alaw allow=ulaw [1000] username=1000 type=friend qualify=yes

Hi, I have three original curves as follows, n<-seq(20,200,by=10) t<-c(0.1138, 0.1639, 0.2051, 0.2473, 0.2890, 0.3304, 0.3827, 0.4075, 0.4618, 0.4944, 0.5209, 0.5562, 0.5935, 0.6197, 0.6523, 0.6771, 0.6984, 0.7209, 0.7453) es<-c(0.3682, 0.4268, 0.5585, 0.6095, 0.7023, 0.7534, 0.8225, 0.8471, 0.8964, 0.9098, 0.9371, 0.9514, 0.9685, 0.9747, 0.9812, 0.9859, 0.9905, 0.9923, 0.9940)

Hello Valery, I have some comments regarding your thoughts on LLVM support for distributed computing. Valery A.Khamenya wrote: >There should be an engine and layer for making dispatching optimizations in run-time. If one CPU is loaded and code is >"parallelizable" why then not to send some part of >calculation to other CPU? This kind of on-fly decision will >be one day

Hi all, I'm struggling a bit to get pgfSweave to lazyload objects when compiling a .Rnw file for a second time. Caching works fine except that for every run all objects get cached again and again. I've used cacheSweave which works fine; all cached objects from code-chunks with option cache = TRUE are lazy loaded. I've tried it on two machines ... I'm pretty sure I'm

2017-08-11 16:00 GMT+02:00 Martin Maechler <maechler at stat.math.ethz.ch>: >>>>>> Dmitriy Selivanov <selivanov.dmitriy at gmail.com> >>>>>> on Fri, 11 Aug 2017 17:33:31 +0400 writes: > > > Hi mailing list and R-core. Could someone from R-core please help me to > > create account in bugzilla? I would like to submit issue

Recently I posted to this list with a question about using the Intel 10.1 compilers in building R and one response was basically, "why in the heck would you want to do that?" The answer is that my sysadmin believes that there will be a performance boost with the Intel vs. Gnu compilers on our Linux cluster, of which I am one of many users. Wanting to be a good citizen and use my machine

Hi, We've encountered a difference in running time between a straight function call and the same call using do.call when the called function generated an error. We've isolated the problem to the following small reproducible example: Consider the following function: foo <- function(nr = 2e6, nc=3, use.do.call = FALSE) { nn <- paste("V", 1:nc, sep="") z <-

Hi all, I just got myself 2 APC Back-UPS CS 350 I downloaded the stable nut tar.gz installed it. This is not the first time i install and configure nut so i used the same configuration as on my other server as i always did. Then i made the 2 required modification. I changed these 2 thing: driver = apcsmart port = /dev/hiddev0 # ls -al /dev/hiddev0 crw------- 1 nut nut 180, 96

Is it possible to parallel scan a large file into a character vector in 1M chunks using scan() with the "doMC" package? Furthermore, can I specify the tasks for each child? i.e. I'm working on a Linux box with 8 cores and would like to scan in 8M records at time (all 8 cores scan 1M records at a time) from a file with 40M records total. file <-

Hello All, I am trying to compile Samba on POSIX under OpenVMS on a DEC 2000 AXP, however I am having difficulty defining the right FLAGSM and LIBSSM in the Makefile. So thus I'm having trouble getting the correct #includes, can anyone help? Regards, Gavin Butler -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/ms-tnef