search for: primula

If I have a data frame where a species occupies several rows with different phases such as (both col's ar factors): species,phase Populus tremula,1 Populus tremula,2 Populus tremula,3 Calluna vulgaris,1 Calluna vulgaris,2 Betula alba,1 Betula alba,2 Betula alba,3 Primula veris,1 Primula veris,2 and another df where each species only have one row: species,growth_form Populus tremula,tree Acer platanoides,tree Ribes rubrum,shrub Calluna vulgaris,dwarf_shrub Betula alba,tree Primula veris,herb ...how can I create a new column in the first data frame where growth for...

...e between different p-value estimates. How can I proceed, left with these uncertainties in the estimations of the p-values? Below is the corresponding R code with some output so that you can see it all for your own: ## m1<-lmer(number_pollinators~logpatch+loghab+landscape_diversity+(1|site),primula,poisson,method="ML") m2<-lmer(number_pollinators~logpatch+loghab+landscape_diversity+(1|site),primula,quasipoisson,method="ML") summary(m1);summary(m2) #m1: [...] Fixed effects: Estimate Std. Error z value Pr(>|z|) (Intercept) -0.40302 0.57...

...(std * std) sum(sqdist[-1] > sqdist[1])/nrow(samp) } m1<-lmer(number_pollinators~logpatch+loghab+landscape_diversity+(1|site),quasipoisson) Generalized linear mixed model fit using Laplace Formula: number_pollinators ~ logpatch + loghab + landscape_diversity + (1 | site) Data: primula Family: quasipoisson(log link) AIC BIC logLik deviance 84.83 93.75 -37.42 74.83 Random effects: Groups Name Variance Std.Dev. site (Intercept) 0.036592 0.19129 Residual 1.426886 1.19452 number of obs: 44, groups: site, 15 Fixed effects:...