similar to: incidence and adjacency matrix conversion

Dear R community, is there an easy way to convert an adjacency list (or a data-frame) to a non-symmetric matrix? The adjacency list has the following form: person group 1 Sam a 2 Sam b 3 Sam c 4 Greg a 5 Tom b 6 Tom c 7 Tom d 8 Mary b 9 Mary d I need the data in a matrix with persons as rows and groups as columns: a b c d Sam 1 1 1 0 Greg 1 0 0 0 Tom 0 1 1 1 Mary 0 1 0 1 I know that there

I have created an adjacency matrix but have not been able to figure something out. I need to put zeros on the diagonal of the adjacency matrix. For instance, location (i,i) to equal 0. Please help. Thanks -- View this message in context: http://r.789695.n4.nabble.com/Adjacency-Matrix-help-tp3740946p3740946.html Sent from the R help mailing list archive at Nabble.com.

Dear all, Hi, I have the problems about converting the matrix to adjacency matrix.Here's my example, a b c d e fa 1.0000000 0.4048823682 0.1228531 0.49046991 0.4945158868 0.307443317b 0.4048824 1.0000000000 0.4367475 0.96949219 0.0007378596 0.560747765c 0.1228531 0.4367474719 1.0000000 0.40037341 0.3157538204

Hello all, I'm having trouble creating an adjacency matrix. Basically, I need to turn the following distance matrix into an adjacency matrix based on whether values are >1.5 or not. If they are >1.5, then the returned value should be 0. If they are =<1.5, then the returned value should be 1. DistanceMatrix: A B C D E [1,]

Dear R-help I am wondering if somebody wrote some code to convert an adjacency list model into a nested set model. In principal I want to do the same as John Celko mentioned it here with SQL: http://groups.google.co.uk/groups?hl=en&lr=lang_en&selm=8j0n05%24n31%241 %40nnrp1.deja.com Assume you have a tree structure like this Albert / \ /

I am getting some unexpected results from some functions of igraph and it is possible that I am misinterpreting the vertex numbers. Eg., the max betweenness measure seems to be from a vertex that is not connected to a single other vertex. Below if my code snippet: require(igraph) my.graph <- graph.adjacency(adjmatrix = my.adj.matrix, mode=c("undirected")) most.between.vert <-

Hi Guys, Do you any one know how to convert a long format table to an adjacency matrix used in sna? The long table looks like p1 p2 counts a b 100 a c 200 a d 100 b c 80 b d 90 b e 100 c d 100 c e 40 d e 60 and I want to convert it to an adjacency matrix which can be used in sna? Any methods will be appreciated! btw, besides sna package, is there any better package can be used in social

I have data in the following form: ID COUPON0 COUPON1 COUPON2 COUPON3 1 1 1000 1001 1002 2 2 NA NA NA 3 1000 1003 NA 1004 4 1001 NA 1005 NA 5 1002 NA NA NA 12 1003 NA NA 1006 7 1005 NA NA NA 8 1004 1007 NA NA 9 1006 NA NA NA 26

Dear useRs, last week I asked you about a problem related to isoMDS. It turned out that in my case isoMDS was trapped. Nonetheless, I still have some problems with other data sets. Therefore I would like to know if anyone here has experience with how well isoMDS performs in comparison to other non-metric MDS routines, like Minissa. I have the feeling that for large data sets with a high

This is a Request For Comment, also BCCed to 390 package maintainers of reverse dependencies of the Matrix package. Most users and package authors working with our 'Matrix' package will be using it for numerical computations, and so will be using "dMatrix" (d : double precision) matrix objects M, and indirectly, e.g., for M >= c will also use "lMatrix" (l:

1 down vote favorite my problem is the following: I am using the R SNA package for social network analysis. Lets say, my starting point is an edgelist with the following characteristics. Every row contains a firm name, the ID of a project they are involved and further characteristics, let's say the projects year. Firms can be in several projects, and one project can consist of a

Dear R experts, I am new to the list and R software. I need to convert arcview file to Winbugs having R has middle package. Got from friends that it is possible following the steps: 1. Converting arcview shapefile to "cgm clear text file" 2. Downloading "convert.r" to into R 2.1 use source("convert.r") 2.2 convert("filename_cgm") without the

Dear all, I have a stat question that may not be related to R, but I would like to have your advice. I have just read a medical paper in which the authors report the 1-p (where p is the cumulative survival probability from the Kaplan Meier curve) as incidence of disease. Specifically, the study followed ~12000 women on drug A and ~20000 women on drug B for 12 months. During that period

I have huge list of edges with weights. a1 b1 w1 a2 b2 w2 a3 b3 w3 a1 b1 w4 a3 b1 w5 I have to convert it into 2 dim matrix b1 b2 b3 a1 max(w1,w4) 0 0 a2 0 w2 0 a3 w5 0 w3 if edges repeated take the maximum weights. How do this efficiently without using for loop? Any idea. thanks Avi [[alternative

Hi all, I would greatly appreciate some help understanding how R references arrays, matrices, lists, and objects using [[]] and []. I have read the R guides and several tutorials but I am not the fastest kid on the block so I am still having difficulty understanding this. For examples the following code produces a 5 element list of 2X5 random numbers that I then convert to a 2X5X5 matrix.

I'm looking for a way to do (product moment) graph correlation between multiple unlabeled graphs G to Gn. Basically I have 900 individual samples of a 48x48 adjacency matrix which I've listed as a 3rd dimension of a single array. So it looks something like [48,48,i] where i is each individual subject's adjacency matrix. If i run the gcor function on any two graphs for example

I would like to compare the incidence rates of three groups. They are supposed to have different risks so I would like to test whether there is a increasing trend in the incidence rates. Does R or any packages provide a trend test for incidence rates? I checked epiR and epitools. It seems they do not have this function. Thank you for the help. -- View this message in context:

Hi, how can I parse Google search results? The following code returns "integer(0)" instead of "1" although the results of the query clearly contain the regex "cran". #### address <- url("http://www.google.com/search?q=cran") open(address) lines <- readLines(address) grep("cran", lines[3]) #### Thanks Philip -- Philip Leifeld Max

Hello, I have a problem regarding calculation of Cumulative Incidence Function. The event of interest is failure of bone-marrow transplantation, which may occur due to relapse or death in remission. The data set that I have consists of- lifetime variable, two indicator variables-one for relapse and one for death in remission, and the other variables are donor type (having 3 categories), disease

Hi, I am wondering if anyone can explain to me if cumulative incidence (CI) is just "1 minus kaplan-Meier survival"? Under what circumstance, you should use cumulative incidence vs KM survival? If the relationship is just CI = 1-survival, then what difference it makes to use one vs. the other? And in R how I can draw a cumulative incidence plot. I know I can make a Kaplan-Meier