search for: coho

Displaying 4 results from an estimated 4 matches for "coho".

Did you mean: coco
2003 Aug 20
1
Five functions proposed for base
...ile:f:/gnu/home/r/toolbox.rdata 49 457 4 Autoloads 44 0 5 package:base 1657 8196 These environments are currently loaded. Verbose version of search(). > ll() Class Kb chinook data.frame 66 chinook.0 glm 244 coho data.frame 127 coho.0 glm 466 fig2 function 21 fig3 function 13 table3 data.frame 1 table4 data.frame 2 x numeric 1 y integer 1 z list 5 My workspace contains these objects. Verbose version of ls(). I think package:...
2007 Apr 12
1
GLM with random effects
...o treat the three replicates as a random effect in order to determine if the main effect (In.Out) significantly influences my dependent variable (nor.tot.lep) after the variance explained by the replicates is accounted for. I have tried: >lmer(nor.tot.lep ~ In.Out + (In.Out|Replicate),data=coho, family=poisson) Generalized linear mixed model fit using PQL Formula: nor.tot.lep ~ In.Out + (In.Out | Replicate) Data: coho Family: Poisson AIC BIC logLik deviance 849.2 867.4 -419.6 839.2 Random effects: Groups Name Variance Std.Dev. Corr Replicate (Intercept) 0.78861 0.88804 In.Out 0.67232 0.81...
2007 Apr 11
1
help with lmer,
...rying to run a GLM with random effects. I have 3 replicates ('Replicate) of counts of parasites ('nor.tot.lep') before and after an experiment ('In.Out'). When I run lmer I get the error messages (16 of each) below... > lmer(nor.tot.lep ~ In.Out + (In.Out|Replicate),data=coho, family =tweedie(var.power = 1, + link.power = 1)) Generalized linear mixed model fit using PQL Formula: nor.tot.lep ~ In.Out + (In.Out | Replicate) Data: coho Family: Tweedie(mu^1 link) AIC BIC logLik deviance 849.2 867.4 -419.6 839.2 Random effects: Groups Name Variance Std.Dev. Corr Replicate (...
2012 Jun 14
0
Animation problem
...to "show" when they are detected, which is provided in the "hits" column, where 1 = hit, 0 = no hit. The data(tagdata) looks like this: Day Tag Species Receiver hits x y 1 1 xbow 10 1 105 350 1 2 cut 20 0 105 630 1 3 smilie 30 0 185 325 1 4 coho 40 0 280 250 1 5 mar 50 1 380 315 1 6 xbow 10 1 105 350 2 1 xbow 10 0 105 350 2 2 cut 20 1 105 630 2 3 smilie 30 1 185 325 2 4 coho 40 0 280 250 2 5 mar 50 0 380 315 3 1 xbow 10 0 105 350 3 2 cut 20 0 105 630 3 3...