search for: leifeld

...er(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 Planck Institute for | +49 (0) 1577 6830349 (mobile) Research on Collective Goods | +49 (0) 228 91416-73 (phone) MaxNetAging Doctoral Fellow | +49 (0) 228 91416-62 (fax) Kurt-Schumacher-Str. 10 | 53113 Bonn, Germany | http://www.philipleifeld.de

Dear all, how can I convert an m x n incidence matrix into an m x m adjacency matrix or an n x n adjacency matrix? The current matrix contains binary data, hence the new matrix would contain counts of common occurrences. Thank you for your help. Phil

...Haunss SfB 597 - Transformations of the State Universit?t Bremen Linzer Str. 9a 28359 Bremen T: +49-(0)421-218-56654 http://shaunss.ipgovernance.eu/ Recently published: Haunss, Sebastian (2012), ?Gewalt und Gewaltlosigkeit in sozialen Bewegungen?, Forschungsjournal Soziale Bewegungen 25(4): 6?16. Leifeld, Philip, and Sebastian Haunss (2012), ?Political Discourse Networks and the Conflict over Software Patents in Europe?, European Journal of Political Research 51(3): 382?409.

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

Hi, This is my first message to this list. It would be great if people here could help me with the following problem (self-contained code example below): I have a list of matrices and would like to apply a summary function to the matrices in the list. The matrices represent social networks, therefore I need to apply some specialized summary functions provided by the ergm package. These