similar to: Nodes & edges with similarity matrix

Hello, I am working with graph and adjacency matrix, the package 'graph' seems to be appropriate for this. An example in the package > mat <- rbind(c(0, 0, 1, 1), + c(0, 0, 1, 1), + c(1, 1, 0, 1), + c(1, 1, 1, 0)) > rownames(mat) <- colnames(mat) <- letters[1:4] > graph1 <- new("graphAM", adjMat=mat) > graph1 A

Good morning, I'm trying to draw a graph, and I'm using the following code. test.matrix<-read.table("~/Desktop/Results/testgephi.csv", header = T, sep=",") colnames(test.matrix) <- gsub("X", "", colnames(test.matrix)) #drop first column drops <- c("") test.matrix<-test.matrix[,!(names(test.matrix) %in% drops)] test.matrix

Hi All, After a lengthy battle just to get the package installed, I am not able to actually use Rgraphviz to generate any plots. I tried just using the sample code in the documentation (http://www2.warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/rgraphviz/) and I get the following: *> > library(Rgraphviz) > test.matrix<-matrix(rep(c(0,1,0,0), 9), ncol=6, nrow=6) >

Hello, Does anyone know of a way of finding all the nodes that are between a pair of specified nodes in the excellent graph package (R vers 2.5.0). I have a class(graphAM) object and need to determine all possible pathways in this object. Here's an example: In the simple case of a--b--c (where -- denotes "conected to") the list of all pathways would be: ab ba abc cba cb bc.

The bulk is on my forums - the final post for today is: Results to date: A. It looks like I am going to need a newer compiler for C - xlc/xlC V11 apparently does not understand this code: "/data/prj/cran/R-3.2.3/src/main/memory.c", line 2149.31: 1506-046 (S) Syntax error. I will have to check if R-devel has different code before asking for assistence. +2139 #ifdef

Hi, I'm trying to create a connectivity diagram using RgraphViz library. I want to increase the edge's label fontsize, but the size did not change. Did I do something wrong ? M <- matrix(nrow=5,ncol=5,byrow=TRUE,data=mytable) colnames(M) <- levels(pf$agent) A <- new("graphAM", M, "directed", values = list(weight=M)) eAttrs <- list() ew <-

I am getting the following problem with make check-all on the June 24 rc. I realize I could probably fix it by installing/setting a path to the sty file, but I don't remember having to do that for make check-all in the past. Paul Gilbert ___________ .... checking package 'Matrix' * checking for working pdflatex ... OK * using log directory

Dear all, I have the following object: > print(x) An object of class "matrix.csr" Slot "ra": [1] 0.992056718 1.000000000 1.000000000 1.000000000 1.000000000 1.000000000 [7] 1.000000000 1.000000000 1.000000000 1.000000000 1.000000000 1.000000000 [13] 1.000000000 1.000000000 1.000000000 1.000000000 1.000000000 1.000000000 [19] 1.000000000 1.000000000 1.000000000

Dear useRs, I'm having trouble with what is likely a very simple issue with a simple graph. I have data in the format pasted below - total from which this is a subset is > 3 million rows. I'm plotting "Window" on the x axis, and either of the other two columns on the y axis. In both the second and third columns, the values are in a range from 0 to 1. I want to be able to plot

I want to load many files in the R. The names of the files are "Sim1.txt", " Sim2.txt", "Sim3.txt", "Sim4.txt", "Sim5.txt" and so on. Can I read them at one time? What should I do? I can give the same names in R. Thanks. For example: > tst=paste("Sim",1:20,".txt",sep="") # the file names > tst [1]

H ello R-experts, I want to do ordination plots using vegan metaMDS. I have a where many cells have zero values. Data structure: X[1:10,1:14] Height.1 Height.2 Height.3 Height.4 Height.5 Height.6 Height.7 Height.8 Height.9 Height.10 Height.11 Height.12 Height.13 D30I1A 46 0 0 0 0 0 0 0 0 0 39 0 98 D30I1B

Dear all, My double for loop as follows, but it is little efficient, I hope all friends can give me a "vectorized" program to replace my code. thanks x: is a matrix 202*263, that is 202 samples, and 263 independent variables num.compd<-nrow(x); # number of compounds diss.all<-0 for( i in 1:num.compd) for (j in 1:num.compd) if (i!=j) { S1<-sum(x[i,]*x[j,])

Hi, Can anyone help to write a more elegant version of my code? I am sure this can be put into a loop but I am having trouble creating the objects b1,b2,b3,...,etc. b1 <- rigamma(50,1,1) theta1 <- rgamma(50,0.5,(1/b1)) sim1 <- rpois(50,theta1) b2 <- rigamma(50,1,1) theta2 <- rgamma(50,0.5,(1/b2)) sim2 <- rpois(50,theta2) b3 <- rigamma(50,1,1) theta3 <-

Hi all R-users, If I have a matrix with numeric elements as follows, the values are rounded when I try to refer to a specifici element using [], the value is rounded. The same thing happens if the matrix is read from a file, the values are stored to the correct precision but then when I try to refer to a specific element (such as using [], it is rounded. How do I avoid this rounding?

2015-02-27 10:25 GMT-06:00 A J Stiles <asterisk_list at earthshod.co.uk>: > O.K. So what does your existing Dial() statement in extensions.conf look > like? > apology, put the gateway was sangoma but is a openvox , all my outgoing calls out for this context: [my-mobile-out] exten => _NXXXXXXX,n,Dial(SIP/1003/${EXTEN},55,rT) exten =>

If the observations are normally distributed and the 2xk design is balanced, theory requires that the tests for interaction and row effects be independent. In my program, appended below, this would translate to cntT (approx)= cntR*cntI/N if all R routines were functioning correctly. They aren't. sim2=function(size,N,p){ cntR=0 cntC=0 cntI=0 cntT=0 cntP=0 for(i in 1:N){

Hi, I wonder why factor scores produced by factanal are correlated, and I'd appreciate any hints from people that may help me to get a deeper understanding why that's the case. By the way: I'm a psychologist used to SPSS, so that question my sound a little silly to your ears. Here's my minimal example: *********************************************** v1 <-

I could use some advice. I've got 2 time series. Both cover approximately the same period of time (ie, 1940 to 2009). But one series has annual data and the other has monthly data. One refers to university enrollment; the other to unemployment rates. Both are currently in the same data frame. I'd like to use the monthly times series as a light grayscale background for a plot of the

Hi all, I met with a problem about the weighted least square regression. 1. I simulated a Normal vector (sim1) with mean 425906 and standard deviation 40000. 2. I simulated a second Normal vector with conditional mean b1*sim1, where b1 is just a number I specified, and variance proportional to sim1. Precisely, the standard deviation is sqrt(sim1)*50. 3. Then I run a WLS regression without the

Hello, I am a graduate student of University of Florida. I am trying to run a process variation model and I am facing the following error. ------------------------------------------------------------- Analysis of geostatistical data For an Introduction to geoR go to http://www.leg.ufpr.br/geoR geoR version 1.6-27 (built on 2009-10-15) is now loaded