search for: dyads

Greetings R folks, I am stuck on a problem that I suspect can be solved somewhat easily. I have social network data stored in dyads as below, where the numbers representing ego and alter are identifiers, so that number 1 as an ego is the same person as number 1 as an alter etc. ego alter 1 1 2 2 1 3 3 2 1 4 2 4 5 3 1 6 3 2 7 3 4 8 3 6 9 4...

I am writing to inquire about a warning message that I receive when trying to model a random slope and intercept at the second level of a 3-level model. Specifically, I am testing a 3-level model in which time (WEEK) is nested in participants (PARTICIP) and participants are nested in dyads (DYADID). The goal is to examine how an interpersonal style (CORUMTO) one week predicts changes in depression the following week (BDIAFTER) controlling for levels of depression (BDI) from the previous week. I have approximately 80 dyads and approximately 160 participants. When modeling a rand...

...ning distances between capitals. The structure of the data-set looks like this: numa ida numb idb kmdist midist 1 2 USA 20 CAN 731 456 2 2 USA 31 BHM 1623 1012 3 2 USA 40 CUB 1813 1130 I want to select a subset of these dyads, and have tried the following code: subset(capdist,ida == c("DEN","SWD","FIN") & idb == c("DEN","SWD","FIN")) This should ideally give me the dyads involving only Denmark, Sweden and Finland, however i get the error message: [...

Hi all, I previously emailed about a multinomial model, and after seeking some additional help, realized that since my response/outcome variables are not mutually exclusive, I need to use a multi-response model that is *not* multinomial. I'm now trying to figure out how to specify the priors on the multi-response model. Any help would be much appreciated. My data look like this: X

I have been trying to preform both a bartlett's test and an arcsine transformation on some average percentage data. I've tried inputting it different ways and I keep getting the same error message: > head(workingdata) DYAD BEFORE AFTER 1 BG-FL 4.606772 5.787520 2 BG-LL 5.467503 7.847395 3 AD-MV 5.333735 11.107380 4 MM-FL 5.578708 12.063500 5 MM-MV 2.037605 6.415303 6 MM-RM

Hi, I am trying to run a multilevel model with time nested in people and people nested in dyads (3 levels of nesting) by initially running a series of models to test whether the slope/intercept should be fixed or random. The problem that I am experiencing appears to arise between the random intercept, fixed slope equation AND. (syntax: rint<-lme(BDIAFTER~BDI+WEEK+CORUMTO, random=~1|DYAD...

1. (Mainly) Statistical issues are generally off topic on this list. You might want to try the r-sig-mixed-models list instead. 2. However, I think a better answer is to seek local statistical expertise in order to have an extended discussion about your research intent in order to avoid producing yet more irreproducible psychological research. Cheers, Bert Bert Gunter "The trouble with

...on of ergm(... , nodematch()), I believe. model2 <- ergm(net ~ nodematch(languages)) In the course of writing this post, I discovered that the net %v% "languages" command above coerces the list "lang" to a vector. I also have a dataset that specifies exhaustively whether dyads share a language or not; but I am not sure how to enter dyad information directly into the ergm() function. -- Ben Mazzotta PhD Candidate Fletcher School, Tufts University 160 Packard Ave, Medford MA 02155 benjamin.mazzotta at tufts.edu +1.617.462.4486

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

Hi Bert, That was distinctly unhelpful, and your outward hostility to a field you obviously don't understand reveals a regrettable level of ignorance. By the way, my research is Anthropology despite my job title. Michelle On Tue, May 1, 2018 at 2:48 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > 1. (Mainly) Statistical issues are generally off topic on this list. > You

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

DATIC (www.datic.uconn.edu<http://www.datic.uconn.edu>) is offering 4 workshops at the University of Connecticut in June, 2018: Mixture Modeling, Introduction to Data Analysis in R, Multilevel Modeling in R, and Dyadic Analysis with R. Registration is now open. Go to www.datic.uconn.edu<http://www.datic.uconn.edu> for more information and to register for the workshops. Mixture