igraph

I want to create a network from a correlation matrix and plot it. I'm trying to use igraph for this. This is a subset of my data. mydata Taxon CD1 CD2 Actinomycetaceae;g__Actinomyces 0.072998825 0.031399459 Coriobacteriaceae;g__Atopobium 0.040946468 0.002703265 Corynebacteriaceae;g__Corynebacterium 0.002517201 0.006446247 Micrococcaceae;g__Rothia 0.001174694 0.002703265 Porphyromonadaceae;g__Porphyromonas 0.023326061 0.114368892 Prevotellaceae;g__Prevotella 0.252894781 0.102308172 Flavobacteriaceae;g__Capnocytophaga 0.001174694 0.029320025 Aerococcaceae;g__Abiotrophia 0.002013761 0.003327095

I am working on families trees : I have adapted Bob Horton's example based on sqldf https://www.r-bloggers.com/exploring-recursive-ctes-with-sqldf/ My data : person father Guillou Arthur NA Cleach Marc NA Guillou Eric Guillou Arthur Guillou Jacques Guillou Arthur Cleach Franck Cleach Marc Cleach Leo Cleach Marc Cleach Herbet Cleach Leo Cleach Adele Cleach Herbet Guillou Jean Guillou Eric Guillou Alan Guillou Eric My results, descendants ordered by levels of "Guillou Arthur" (top person without father) : name parent_name level Guillou Arthur NA 1 Guillou Eric Guillou Arthur 2 Guillou Jacques

I am new to R and trying to figure out how to make a social network map of a system that I have data for. I have managed to figure out most of what I want to do from the FAQ and tutorials, but I am stuck on two things. How do I make the canvas larger / the graph more spaced out? Right now it's way too squashed. At the moment the edge thickness is set based on the weight. The weights represent different statuses (8 = Active, 3 = Requested, 2 = Hidden, 1 = Blocked) and I would like to style the edges rather than change their thickness. In an ideal world, green for Active, green dashed for

The result of some process is a list of paths from A to C through B, e.g.: which.effect(A1,A2,10,1,1) [[1]] [1] 10 2 1 [[2]] [1] 10 28 1 [[3]] [1] 10 6 9 [[4]] [1] 10 24 9 [[5]] [1] 10 28 9 What I would like to have is a graph with three parallel columns, the first for the origin, the second for the intermediate point, and the third for the destination. In this example, the first column would have only the node 10 , the second 2, 6, 24, 28 and the third 1, 9 . Then, directed edges (arrows) will go from nodes in the first column to nodes in the second column, and from nodes in the second column

I am interested in testing some network visualization techniques but before trying those functions I want to build an adjacency matrix (from, to) using the dataframe which is as follows. Id Gender Col_Cold_1 Col_Cold_2 Col_Cold_3 Col_Hot_1 Col_Hot_2 Col_Hot_3 10 F pain sleep NA infection medication walking 14 F Bump NA muscle NA twitching flutter 17 M pain hemoloma Callus infection 18 F muscle pain twitching medication My goal is to create an adjacency matrix as follows 1) All values in columns with keyword Cold will contribute to the rows 2) All values in columns with keyword Hot will

I have the dataframe test <- structure(list( y2002 = c("freshman","freshman","freshman","sophomore","sophomore","senior"), y2003 = c("freshman","junior","junior","sophomore","sophomore","senior"), y2004 = c("junior","sophomore","sophomore","senior","senior",NA), y2005 = c("senior","senior","senior",NA, NA, NA)), .Names = c("2002","2003","2004","2005"), row.names = c(c(1:6)), class = "data.frame") > test 2002 2003 2004 2005 1 freshman freshman junior senior 2 freshman junior sophomore senior 3 freshman junior sophomore senior 4 sophomore sophomore senior <NA> 5 sophomore sophomore senior <NA> 6