similar to: Problem plotting continuous and discrete series in ggplot with facet

Hi list, I added custom code to eliminate frame index references. I replace each FI reference with a subtraction from my frame pointer register (just like ebp in x86). Its result is stored in another register which is used by the load/store instructions. Nevertheless, this operation gives me redundant subs that I would like to remove after all fi references have been eliminated. For example:

Dear List I am trying to draw a heatmap using ggplot2. In this heatmap I have faceted my data by 'infection' of which I have four. These four infections break down into two types and I would like to reorder the 'infection' column of my data to reflect this. Toy example below: library(ggplot2) # test data for ggplot reordering genes <- (rep (c(rep('a',4),

Hello, I'm load testing a new Asterisk 13 system (Debian Stretch, packaged asterisk). One system writes CDR though an ODBC connection to a local Postgres database over the LAN. When sending 50 new calls per second with SIPp, I'm seeing one system outputs : taskprocessor.c: The 'subm:cdr_engine-00000003' task processor queue reached 5000 scheduled tasks again. This [1] thread

I have a matrix M > dim(M) [1] 30380   561 I have another list L contains , that contains some row names of matrix M str (L)  chr [1:21037] Now I want to extract the submatrix subM (21037    ,    561)  from the matrix M by matching the rownames (M) to the 21037 rownames o f L How do I do that ? Thanks and regards, Pankaj Barah   Pankaj Barah Department of Biology  Norwegian University

Hi, I`ve recently upgraded a server from 1.8 to Asterisk 13. While everything is under control, I have one issue with the way CDRs are kept for queues. And I don`t mean ?I don`t like it?. I mean it crashes the server. I realize there are multiple CDRs per queue call ? one per ring/per phone, basically. The issue is that whenever the number of CDRs ?to be recorded? for a call exceeds 5000,

Hola, Sí, lo puedes hacer de esta forma... #----------------- set.seed(20) DATOS <- data.frame ( ID = c (1:10) , TIEMPO = sample(1:40, 10, replace=F) , DEF = as.factor(sample(c(0,1), 10, replace=T)) ) library(ggplot2) ggplot( data = DATOS ) + geom_point( aes(x = TIEMPO, y = ID , shape = DEF, color = DEF), size = 5 ) + geom_segment( aes( x = 0, y = ID, xend =

Hi all, I have managed to create a figure on the screen with multiple plots in it. Something like the example below. When I save that with ggsave(), only the last plot gets saved (pPath in the example) instead of the entire figure. Any suggestions how I can save this kind of figures automated? Thanks, Thierry library(ggplot2) pPoint <- qplot(unemploy/pop, psavert, data=economics) pPath

I need to plot two graphics just like the example below but for some reason your example crashes. Using facet_wrap seems to be the cause: library(ggplot2) upper <- with(economics, data.frame(date,value = psavert, position = "upper")) upper lower <- with(economics, data.frame(date,value = unemploy,position = "lower")) lower #upper$date <-

Hi Stephan, Here it is: Program received signal SIGSEGV, Segmentation fault. p_strdup (pool=pool at entry=0x55555579bc20, str=0x6d65642e6c69616d <error: Cannot access memory at address 0x6d65642e6c69616d>) at strfuncs.c:51 51????? strfuncs.c: No such file or directory. (gdb) bt full #0? p_strdup (pool=pool at entry=0x55555579bc20, str=0x6d65642e6c69616d <error: Cannot access memory at

Dear Sirs, I want to duplicate users from samba to AD. One-to-one convertion, nothing complicated. The problem is: password synchronization. AD allows LDAP connection and there is even special attribute for storing password (unicodePwd), that attribute cannot be read, but can be written under some circumstances: http://www.jsiinc.com/SUBM/tip6000/rh6088.htm I cannot figure out what to do,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi all I could not acess: http://www.xiph.org/~brendan/snapshots/ "Not Found" Thanx, Rafael Diniz - -- +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+- Engenharia da Computa??o -- Unicamp http://www.gnu.org/philosophy/why-free.pt.html Radio Muda, radiolivre.org, Centro de M?dia Independente, SubM?dia, GPSL

Hi List, We have a large (6500 desktops) network distributed over a few dozen sites. The clients are (almost) all Windows95 and WinXP. We currently use Netware as our network operating system, and are looking at the possibility of moving to (Samba on) Linux to provide file and print services. One of the nice things about Novell NDS is that you can specify printers that are available to

That's a good thought. I'm building from the alpine repo and I indeed see pigeonhole is 0.5.5 https://git.alpinelinux.org/aports/tree/main/dovecot/APKBUILD?h=3.8-stable Let me build it with 0.5.7.2 Regards, ? Laszlo On 2019. 10. 07. 10:45, Stephan Bosch via dovecot wrote: > > > On 07/10/2019 10:17, Demonhost via dovecot wrote: >> Hi Stephan, >> >> Here it

On 07/10/2019 10:17, Demonhost via dovecot wrote: > Hi Stephan, > > Here it is: > We still can't reproduce it here. First of all, did you update Pigeonhole along with Dovecot? This kind of weirdness can happen when Pigeonhole was compiled against a different version of Dovecot. You could compile Pigeonhole manually as well to make sure, which also gives you the opportunity to

In lattice #toy data library(ggplot2) library(lattice) x <- rnorm(100) y <- rnorm(100) k <- sample(c("Weak","Strong"),100,replace=T) j <- sample(c("Tall","Short"),100,replace=T) w <- data.frame(x,y,j,k) xyplot(y~x|j+k,scales=list(y=list(relation="free"))) will give you a scale in each subplot with a range equal to the range of y

I have the following data: v <- rnorm(13) w <- rnorm(13) x <- rnorm(13) y <- rnorm(13) z <- rnorm(13) Using GGPLOT facet, what I want to do is to create a 5*5 matrix, where each cells plot the correlation between each pair of the above data. E.g. v-v,v-w; v-x,...,z-z What's the way to do it? Attached is the image. GV.

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hi I am running the following code: sym <- c(sym1,sym2,sym4) lifedxm <- c("O-BD","O-WELL","O-UNI") life <- c(lifedxm,lifedxm,lifedxm) tp <- c("TP-ANY","TP-ANY", "TP-ANY", "TP-SUB", "TP-SUB", "TP-SUB", "TP-CLIN" , "TP-CLIN", "TP-CLIN") data <-

Hello All, I am trying to do the comparison of my observed and modeled data sets for two stations. One station is called station "red" and another is called "blue". I was able to create the facets but when I tried to add two series in one facet then only one facet got updated while other didn't. The data watersurf1.csv can be downloaded from

Hello Experts, I found this example on web and use it just for explanation. ( http://stackoverflow.com/questions/15867263/ggplot2-geom-text-with-facet-grid ) library(ggplot2) x <-runif(9, 0, 125) data <-