search for: subdivided

I'd like to generate on a single device multiple plots, each of which contains two plots. Essentially, I've got sub-plots which consist of two tracks, the upper one displaying gene expression data, and the lower one mapping position. I'd like to display four of these two-track sub-plots on one device, but I can't seem to invoke the par(mfrow=...) or layout(matrix(...)) functions at

Hi all, I''ve got a BOX running CentOS 4.5. It acts as a firewall + router. I have installed both iptables and iproute2. I has 3 network cards. eth0 is connected to Internet (is has an internet ip. pls assume its ip is 1.2.3.4/29). it is a 256 Kbit link. eth1 is DMZ. its ip is 192.168.100.254 eth2 is LAN. Its ip is 192.168.101.254 I have alreday shaped traffic to 64 Kbit on eth1 for

Hi! Is there any way to do just plain vanilla TBF (Token Buck Filter) type shaping on a group of ips/networks, not an entire interface. Currently the only way I know how to shape in Linux is to use HTB or CBQ, but both of these need a total rate and then you need to subdivide that into classes. That is not what I want. All I want is Cisco generic traffic shaping style shaping (or similar to how

I''m trying to build a QoS system that would divide the outgoing traffic into four categories, each one also subdivided into two more categories. For that I chose a htb root qdisc subdivided into four classes, each of these classes contains also a htb qdisc. Until these point everything goes well, but when I try to attach a new class to the leaf htb qdisc a problem with the sintaxis arises. Code follows:...

Hello, I'm struggling with an elementary problem with R. I have a simple data frame such as this one giving the number of accidents subdivided by sex, age and region. sex age region no_of_accidents F young north 10 F young south 12 F old north 5 F old south 7 M young north 24 M young south 30 M old...

Hi! I would like to divide a 401 by 401 image into 20 equal blocks and then re-plot the image with the segments randomly distributed in it. How can I do this? ............. Regards, Kenduiywo Benson [[alternative HTML version deleted]]

...that they're actually enabling any new features that no other linker can do. I'm not very familiar with Mach-O, but it sounds like, contrary to ELF, Mach-O files cannot be generated with one section per global object, but that Mach-O sections (at least as used by OSX) *are* expected to be subdivided/rearranged/etc, and are not atomic. Given that set of properties for the input file format, of course it makes sense that you'd want to subdivide Mach-O "sections" within the linker into smaller atomic pieces to work on them. But for ELF, the compiler can/will output separate section...

dear R family, [a text file has been attached for better understanding] i have a list of 16 and each of of that is further subdivided into variable number of lists. So, i have a kind of list into lists phenomenon. [[1]]$'1' 1 2 3 4 5 6 7 8 9 [[1]]$'2' 1 2 3 4 5 6 7 8 9 i want to convert both these sublists into one column and then cbind it in t...

...rchives and the book R Graphics without quite seeing the light. Help or pointers to help would be welcome. Terry T Details (for the inquiring mind). In drawing a pedigree subjects are depicted as cirle, square, diamond, or triangle (for gender= male, female, unknown, terminated). This can be subdivided into shaded regions to show the value of various ancillary variables. One ancillary is easy - just fill with a color. For two you fill the left and right half separately, etc. Two, three, four, ... variables become special cases for each symbol. An easy solution is to draw a larger circle with...

Hi I could only find some discussion on this wrt lattice graphics (which I'm not using). Apologies if I'm missing something obvious. I'd like to produce 3 rug plots under a kernel density plot for a population. The population is subdivided into 3 subpopulations, which I'd like the rug plots to highlight. Naturally, when I do 3 rug plots, they all plot over each other. I'd like 3 parallel rug plots along the x-axis. But how. Thanks in advance, Quin [[alternative HTML version deleted]]

I've noticed that R has a number of very useful functions for obtaining descriptive statistics on groups of variables, including summary {stats}, describe {Hmisc}, and describe {psych}, but none that I have found is able to provided weighted descriptives of subsets of a data set (ex. descriptives for both males and females for age, where accurate results require use of sampling

I have a dataset that is based on crop output for a single crop *sugarcane*...but each observation is further subdivided into 3 kinds of sugarcane i have read the file and have also used melt it to sort it on the basis of *crop group* using melt(sugarcane, m=c("Crop_group")) -> canefile this is how it has cast the data variable value 1 Crop_group Sugarcane (first ratoon) 2 Crop_...

(This is bcc'd to a list of people who have had problems with rgl lately or who are known to be big users; not cc'd, so you don't all get cc'd all the responses on the R-devel list). I've just put together a test build of rgl, and put it on my web site as http://www.stats.uwo.ca/faculty/murdoch/software/rgl_0.70.564.tar.gz (source) and

...ut is OK. However, after 1989 many new province are born. So for example the new provincia of Rimini has born and the sardinan Island has doubled them. Some of you do know how to get upgraded maps of italy? I think it would useful for all Italian mapers. The second question is as follow: Italy is subdivided in "regioni". Each "regione" is a set of many province; so, if I want to plot map region-based index, how can I omit the borders of prince belonging to the same "regione"? so, how plot maps to a higher unit level? [[alternative HTML version deleted]]

Dear R-users, after seeking for help in R-search I did not find any hint on my particular problem. Countless help on "true" overlay, but nothing on this. Please consider the following: par(mfrow = c(2, 1)) T <- seq(0, 20, by = 0.01) ## PLOT 1 plot(T, 30*exp(-0.65*T), type = "l" ) points(T, 30*exp(-0.26 * T), type = "l", lty = "F8") points(T,

Dear R users, my problem, at the moment, is the following: I need to apply a script to a very big dataset, so I need first to subdivide the dataset into samples and then apply the script to every single sample. Now I tried to solve the problem with these linest: S00001<-data[data$sub==1,1:3] #which divide the dataset in samples based on the number on the column "sub"

Hello. I am having trouble understanding the use of split.screen. I want to divide the device surface first into 4 equal screens: split.screen(figs=c(2,2)) This works. I next want to subdivide each of these 4 screens into 10 subscreens. I do, for the first of these 4 screens: screen(1,new=T) and then: split.screen(figs=c(10,2)) My understanding is that this should split screen 1 (i.e.

I need to multiply to very large, nonsparse matrices, and so get the error "allocMatrix: too many elements specified". Is there a way to set the limit for allocMatrix? In my case, the two matrices, A and B, are nxm and mxp where m is small, so I could subdivide each into blocks of submatrices A=rbind(A1,A2,...) and B=cbind(B1,B2,...) then multiply each pair of submatrices, but I was

...w user of R and am crunching through the system. I have reached an impasse with mapping; I want to make a bubble map and lay it over a grid that is composed of a standard x,y axis. Within this, are 16 (4x4) gridded blocks, numbered 1-16. And, within these individual hectares(1-16) it is further subdivided into individual x,y plots ( in accordance with the overall x,y axes). I have a general idea of how to make the bubble map but the background map is giving me a lot if trouble...HELP Sent from my iPhone

Dear R Users: The functions of our "micEcon" package [1,2] can be subdivided into three categories: - microeconomic demand and firm models - sample selection models (mainly selection()) - routines for (likelihood) maximisation (e.g. maxLik(), maxNR(), maxBHHH()) (mainly used for ML estimation of sample selection models) Although sample selection models are often used i...