Displaying 2 results from an estimated 2 matches for "n_trials".
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no_trials
2011 Aug 27
1
hopelessly overdispersed?
...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 g...
2011 Sep 26
0
horizontal labels for a dendrogram
...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;r...