If I run a regression analysis, will I obtain a probability distribution for the values of E(g)$weight? In other words, will I be able to tell that given V(g)$size of the two vertices, E(g)$weight is higher/lower than expected?
On 06/02/2014, at 10:31 AM, Tamás Nepusz <[email protected]> wrote: >> I want to test two hypothesis: >> 1) When V(g)$size increases for one or both nodes, E(g)$weight of the >> connecting edge also increases; >> 2) When the difference between the two V(g)$time decreases (thus the >> event happens closer in time), E(g)$weight of the connecting edge >> increases. >> >> I think I could attempt to use a regression analysis for the second >> hypothesis using the difference in time as the independent variable and >> E(g)$weight as the dependent variable. But what to do (statistically) >> and how to do it (in terms of code) with the first hypothesis? > > Regression analysis works not only for a single independent variable; you > could have multiple independent variables as well; search for “multivariate > regression” and I’m sure that you’ll find plenty of resources on the > Internet. Basically, you would then use the sizes of the source and target > nodes as independent variables. In the simplest case, you could use linear > regression, where you would end up with three coefficients (two slopes and an > intercept). > >> Also wouldn't be better to test both independent variables V(g)$size and >> difference in V(g)$time in the same model? > > Well, you could do that as well; just take a multivariate regression > technique and feed it with the sizes of the two endpoints and the time > difference - that would give you three independent variables. You can still > use the same technique as above. > > T. > > _______________________________________________ > igraph-help mailing list > [email protected] > https://lists.nongnu.org/mailman/listinfo/igraph-help _______________________________________________ igraph-help mailing list [email protected] https://lists.nongnu.org/mailman/listinfo/igraph-help
