similar to: plot.igraph

I have been struggling trying to write some code to produce all combinations subject to some restrictions. I thought someone might have some bright ideas. I have 11 values which fall into 5 groups. I want all combinations of 2,3, and 4 values where each value must be from a different group. The numbers in the groups are different. Here is a definition of the groups: groups <- list(gp1 =

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### The error occurs following the third Hit <Return> below: > y_rnorm(40) >

Hi, I would like to be able to develop a function to plot an igraph object with lattice (trellis type displays will be usefull for grouping etc). Anyway, I mostly feeble Igraph requires that you convert two columns of data two an igraph object and to be able to plot the graph...I have tried a very, very simplistic (if not naive) approach and surprise, surprise, it didn't work. First of all,

Dear R users, I am trying to draw a network using igraph package. I intend to place the hub nodes (the ones with the relatively more connection with other nodes) in the center of the graph. Also, the graph need to be in the fashion that the higher the correlation between two nodes is , the closer the two nodes will be. Is there any layout that can help or any other way to do this? Thanks in

I have a number of (directed) graphs based on social groups, where the members have expresed likes and dislikes in respect to the other members. tkgraph makes it simple to draw the graphs in a very pleasing way, but I would like to differentiate between positive and negative relations in the graph by having the edges for the negative relations dashed and the positive ones continuous. Is

igraph is a package for graphs and networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. NEW FEATURES: - We use the ARPACK library for graph related eigenvalue problems, like Page Rank calculation, Kleinberg's hub and authority scores, eigenvector centrality, etc. There is also a generic interface if someone wants to use

igraph is a package for graphs and networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. NEW FEATURES: - We use the ARPACK library for graph related eigenvalue problems, like Page Rank calculation, Kleinberg's hub and authority scores, eigenvector centrality, etc. There is also a generic interface if someone wants to use

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

Hi, I am plotting a graph with kamada.kawai layout. But I am getting direction arrows in the graphs. Please let me know how to avoid this. g <- watts.strogatz.game(1, 2000, 5, 0.4) comps <- clusters(g)$membership colbar <- rainbow(max(comps)+1) V(g)$color <- colbar[comps+1] png(filename) plot(g, layout=layout.kamada.kawai, vertex.size=2, vertex.label=NA) dev.off() Please find

Hi. I am having trouble thinking of an easy way to grab rows out of a data frame. I want to select the rows with a median value when the rows are similar. A simple example is this table, which I could read into a data frame. I would like to find a new data frame with only the rows with a median value for the "c" column given a certain "a" value. For example, the c values

Confirmation from John Maindonald. -- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 ---------- Forwarded message ---------- Date: Fri, 3

Dear r-help, I create a graph of my baysian network. I use the package igraph. The names of vertex are within the circle, I would leave them outside the circle? > E(g)$color <- "black" > tkplot(g, ,vertex.label=names,layout=layout.kamada.kawai, edge.color=E(g)$color) Best Regards [[alternative HTML version deleted]]

I want to calculate a statistic on a number of subgroups of a dataframe, then put the results into a dataframe. (What SAS PROC MEANS does, I think, though it's been years since I used it.) This is possible using by(), but it seems cumbersome and fragile. Is there a more straightforward way than this? Here's a simple example showing my current strategy: > dataset <-

Hi: In lattice, how does one handle separate graphical behavior for two different factors? In the xyplot below, the objective is to use the levels of one factor to distinguish corresponding shapes and colors, and the levels of the other factor to perform level-wise loess smooths. # Illustrative data: d <- data.frame(time = rep(1:8, each = 6), val = rnorm(48), gp1 =

Hi: Yesterday, I posted a question regarding how to handle different graphical behavior between two factors in xyplot() [package lattice]. After a public and private reply from Deepayan Sarkar, the problem has been resolved nicely, including the addition of a stacked legend for the two factors in question. The latter requires package latticeExtra. library(lattice) library(latticeExtra) # Test

Hello, I am using the plot.igraph function in the igraph package to plot a network. How do I keep vertices from overlapping? One option would be to pass an argument that restricts vertices to occupy the same coordinates given their size. A second option would be to increase the area of the plot (and multiply the distance between vertices with a constant) while keeping the size of vertices the

I have a directed graph which is represented as a matrix on the form 0 4 0 1 6 0 0 0 0 1 0 5 0 0 4 0 Each row correspond to an author (A, B, C, D) and the values says how many times this author have cited the other authors. Hence the first row says that author A have cited author B four times and author D one time. Thus the matrix represents two groups of authors: (A,B) and (C,D) who cites

Hi R users, I got warning messages when installing the package, and I pasted the messages below. I checked updates that my R-studio is already the newest version. I don't know how to solve the problem. Thanks for your help. > library(igraph) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object

Hello, I'm having trouble getting the igraph package to load on Solaris. I can get igraph to compile and install from a local directory without issues using simply "R CMD INSTALL igraph", however "library(igraph)" from within R gives the following errors: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library