search for: n_trial

...f two continuous vars, body size and range size, as well as of feeding guild, nest placement, nest type and foragig strata as factors. I hope to model with these variables the preference of primary forests (#successes) by certain bird species. My code therefore looks like: y<-cbind(n_forest,n_trials-n_forest) model<-glm(y~range+body+nstrata+ntype+forage+feed,family=quasibinomial(link=logit),data=dat) however plausible the approach may look, overdispersion is prevalent (dispersion estimated at 6.5). I read up on this and learned that in case of multiple factors, not all levels may yield...

...es put the labels horizontally, however, it also draws rectangles around the labels which I don't want. How can I create a dendrogram with horizontal labels, without those rectangles? Some example data for the script: code;name;sex;date1;exp_type;exp1;category1;comment1;sar1;distance1;order1;n_trials;run1_name_cond1_rt;run1_name_cond2_rt;run1_name_cond3_rt;run1_name_cond1_er;run1_name_cond2_er;run1_name_cond3_er;run1_col_cond1_rt;run1_col_cond2_rt;run1_col_cond4_rt;run1_col_cond1_er;run1_col_cond2_er;run1_col_cond4_er;run2_name_cond1_rt;run2_name_cond2_rt;run2_name_cond3_rt;run2_name_cond1_er;...