[R] what does the within component of varcomp (ape library) output indicate?

I am trying to use varcomp to obtain the variance partitioning across different nested levels of random effects (say x,y and z). I get the three variance components (for each of my along with an additional one called 'within' from varcomp output. I am using the 'scale total variance to 1' option an

Re: [R] how to extract individual values from varcomp?

Original Message- >> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Sharada >> Ramadass >> Sent: Tuesday, August 8, 2017 3:33 PM >> To: r-help@r-project.org >> Subject: [R] how to extract individual values from varcomp? >> >> Hello, &g

[R] how to extract individual values from varcomp?

Hello, I am trying to use varcomp to decompose the variance across multiple nested levels on a lme object. I am able to successfully do this and when I view the varcomp object I can see the individual values / estimates for the variance at different levels. However, I want to be able to extract

[R] variable scale and transform confusion with glmm

Hello, I am a complete newbie to GLMM and R. I do understand some bit of statistics though I am in no-way a core statistician. So, here are my doubts and I would really appreciate if someone can provide some inputs. I have looked up for prior responses on various lists and could not come up with

[R] basic query relating to GLMM model design

Hello, I am a newbie to R and GLMM and having a difficult time understanding the model design that best captures my test scenario. I am interested in the following question: 1. whether average values of a variable explain a certain response lesser than individual values. 1.1. For this, I have a