search for: kawai

...or something like that of the file and the when I tried to play the file in foobar it would internally have all the data (where each track was) and problem solve. Can anyone help me here PD: the cue files says this: TITLE "LA SOLA Fate/stay night A.OST OUT TRACKS" PERFORMER "Kenji Kawai" FILE "sola.flac" WAV ; 2221666.667 milliseconds TRACK 01 AUDIO TITLE "La Sola" PERFORMER "Kenji Kawai" INDEX 01 00:00:00 TRACK 02 AUDIO TITLE "Uketsugareshi kokuin -vocal ver.-" PERFORMER "Kenji Kawai" INDEX 00 0...

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...

...t; I tried to play the file in foobar it would internally have all the > data > (where each track was) and problem solve. > > Can anyone help me here > > PD: the cue files says this: > > TITLE "LA SOLA Fate/stay night A.OST OUT TRACKS" > PERFORMER "Kenji Kawai" > FILE "sola.flac" WAV ; 2221666.667 milliseconds > TRACK 01 AUDIO > TITLE "La Sola" > PERFORMER "Kenji Kawai" > INDEX 01 00:00:00 > TRACK 02 AUDIO > TITLE "Uketsugareshi kokuin -vocal ver.-" > PERFORME...

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]]

...for (j in 1:N){ for (k in j:N){ adjm[gp[k],gp[j]] = adjm[gp[k],gp[j]]+1 adjm[gp[j],gp[k]] = adjm[gp[k],gp[j]] } } } for(i in 1:10){adjm[i,i]=0} require(igraph) gg=graph.adjacency(adjm,mode="max") V(gg)$name = 1:10 V(gg)$label = V(gg)$name plot.igraph(gg, layout=layout.kamada.kawai, vertex.color=gray(0.7)) ################################################################# Thanks in advance, -Steven Wolf MSU Dept of Physics

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

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

...programming develop their function writing skills, and secondly, can anyone suggest a way to generate an igraph object in lattice. Thanks Andrew ######generates the igraph plot library(igraph) LE<-read.csv("LE.csv") LG<-graph.data.frame(LE, directed=F) LG$layout<-layout.kamada.kawai(LG) plot(LG, vertex.size=4, vertex.label=NA, vertex.color="red", vertex.shape="square", edge.color="blue4") ###### ###### library(lattice) ###### ###### xyplot.igraph <- function(plot.igraph, ...) { dat <- graph.data.frame(x = object, directed=FALSE) prepane...

...ass 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 same. I would like to keep my current layout (kamada.kawai). Any suggestions? Thanks, Math -- View this message in context: http://r.789695.n4.nabble.com/Plotting-network-without-overlapping-vertices-tp4604559.html Sent from the R help mailing list archive at Nabble.com.

...attributes can be associated with the vertices/edges of the graph, or the graph itself. The attributes can be arbitrary R objects. - graph visualization using regular R devices, interactive visualization using Tcl/Tk, 3D visualization using RGL. - graph layout generators, the standard Kamada-Kawai and Fruchterman-Reingold algorithms are included, plus many more. - Functions for graph and subgraph isomorphism, the BLISS and the VF2 algorithms are included. - Functions for maximal network flows, minimal cuts, vertex and edge connectivity. - igraph can read and write many popular fil...

...attributes can be associated with the vertices/edges of the graph, or the graph itself. The attributes can be arbitrary R objects. - graph visualization using regular R devices, interactive visualization using Tcl/Tk, 3D visualization using RGL. - graph layout generators, the standard Kamada-Kawai and Fruchterman-Reingold algorithms are included, plus many more. - Functions for graph and subgraph isomorphism, the BLISS and the VF2 algorithms are included. - Functions for maximal network flows, minimal cuts, vertex and edge connectivity. - igraph can read and write many popular fil...

...- attributes can be associated with the vertices/edges of the graph, or the graph itself. The attributes can be arbitrary R objects. - graph visualization using regular R devices, interactive visualization using Tcl/Tk, 3D visualization using RGL. - graph layout generators, the standard Kamada-Kawai and Fruchterman-Reingold algorithms are included, plus many more. - Functions for graph and subgraph isomorphism, the BLISS and the VF2 algorithms are included. - Functions for maximal network flows, minimal cuts, vertex and edge connectivity. - igraph can read and write many popular file for...

...- attributes can be associated with the vertices/edges of the graph, or the graph itself. The attributes can be arbitrary R objects. - graph visualization using regular R devices, interactive visualization using Tcl/Tk, 3D visualization using RGL. - graph layout generators, the standard Kamada-Kawai and Fruchterman-Reingold algorithms are included, plus many more. - Functions for graph and subgraph isomorphism, the BLISS and the VF2 algorithms are included. - Functions for maximal network flows, minimal cuts, vertex and edge connectivity. - igraph can read and write many popular file for...

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

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Willia...

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Willia...

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Willia...

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Helge...

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Helge...

...Federico II, Italy Julian Chesterfield, OnApp, UK Patrick Dreher, MIT, USA William Gardner, University of Guelph, Canada Kyle Hale, Northwestern University, USA Marcus Hardt, Karlsruhe Institute of Technology, Germany Iftekhar Hussain, Infinera, USA Krishna Kant, Temple University, USA Eiji Kawai, National Institute of Information and Communications Technology, Japan Romeo Kinzler, IBM, Switzerland Kornilios Kourtis, ETH, Switzerland Nectarios Koziris, National Technical University of Athens, Greece Massimo Lamanna, CERN Che-Rung Roger Lee, National Tsing Hua University, Taiwan Helge...