search for: dyad

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 ran...

...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:...

...0 1 0 10 010 241 11703 10213 0 3 0.015625000 1 0 0 0 0 1 1 1 0 49 8 Columns Opp_teacher through Eval_Teacher are count data different possible teaching behaviors that I have observed, with each row being a dyad. The teaching types are not mutually exclusive. They can co-occur. This is why I am using a multi-response model but not a multi-nomial model. Focals as well as others can appear in more than one dyad, so I have included those as random effects. The fixed effects in the model are r (relatedness) an...

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 6.158885 11.911080 > bartlett.test(BEFORE ~ AFTER) Error in bartlett.test.default(c(4.606772, 5.467503, 5.333735, 5.578708, : there...

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|DYA...

...1 11703 10213 > 0 3 0.015625000 1 0 0 0 > 0 1 1 1 0 49 8 > > Columns Opp_teacher through Eval_Teacher are count data different possible > teaching behaviors that I have observed, with each row being a dyad. The > teaching types are not mutually exclusive. They can co-occur. This is why I > am using a multi-response model but not a multi-nomial model. Focals as > well as others can appear in more than one dyad, so I have included those > as random effects. The fixed effects in the model ar...

...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

...ormulae. - Many functions support weighted graphs now: Page Rank, modularity calculation, the fast greedy community finding algorithm, etc. - We have a new graph layout algorithm called 'graphopt'. - A bunch of new functions are added: biconnected components and articulation points, dyad and triad census, functions for vertex similarity, functions for estimating closeness, betweenness and edge betweenness, etc. - igraph can write files in the DOT format now. - Some graphics improvements, e.g. it is possible to draw graphs on top of each other, etc. - Many bugs were fixe...

...ormulae. - Many functions support weighted graphs now: Page Rank, modularity calculation, the fast greedy community finding algorithm, etc. - We have a new graph layout algorithm called 'graphopt'. - A bunch of new functions are added: biconnected components and articulation points, dyad and triad census, functions for vertex similarity, functions for estimating closeness, betweenness and edge betweenness, etc. - igraph can write files in the DOT format now. - Some graphics improvements, e.g. it is possible to draw graphs on top of each other, etc. - Many bugs were fixe...

...3 0.015625000 1 0 0 0 > > 0 1 1 1 0 49 8 > > > > Columns Opp_teacher through Eval_Teacher are count data different > possible > > teaching behaviors that I have observed, with each row being a dyad. The > > teaching types are not mutually exclusive. They can co-occur. This is > why I > > am using a multi-response model but not a multi-nomial model. Focals as > > well as others can appear in more than one dyad, so I have included those > > as random effects. The fixe...

...ting both regular structures like trees, lattices, etc. and various random graphs. - a rich set of functions calculating structural properties of graphs, like vertex centrality (degree, betweenness, closeness, page rank, eigenvector centrality, Burt's constraints, etc.), shortest paths, dyad and triad census, network motifs, girth, K-core decomposition, etc. - 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 vi...

...ting both regular structures like trees, lattices, etc. and various random graphs. - a rich set of functions calculating structural properties of graphs, like vertex centrality (degree, betweenness, closeness, page rank, eigenvector centrality, Burt's constraints, etc.), shortest paths, dyad and triad census, network motifs, girth, K-core decomposition, etc. - 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 vi...

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 Modeling June 4-6, 2018 Dr. Eric Loken This 3-day mixture modeling workshop will survey techniques for exploring heterogeneou...