Re: [R-sig-eco] How do I interpret linear mixed model contrast estimates from multcomp::glht()?

​As I was suspecting, the answer is in contrast::contrast(). I'm going to take this over to r-sig-mixed-models since that mailing list might be more appropriate than ecology.​ Thanks Thierry, I appreciate the help. Cheers MVS = Matthew Van Scoyoc https://sites.google.com/site/s

[R-sig-eco] How do I interpret linear mixed model contrast estimates from multcomp::glht()?

tely I would like to create a dataframe so I can plot the contrasts, something like this... > x = summary(glht(math.lmm, linfct = cc$X)) > # Contrast data frame > math.contr = data.frame(Effect.Interaction = ..., Estimate = x[["test"]]$coefficients, Std.Error = x[["test&quo

Re: [R-sig-eco] Can I weight LS means estimates by elevation in lme4/lmerTest packages?

MVS = Matthew Van Scoyoc https://sites.google.com/site/scoyoc/ = Think SNOW! On Sun, Nov 30, 2014 at 11:44 PM, Chris Howden wrote: > Hi Mathew, > > Are you sure you want to 'weight' by elevation? That would imply higher > elevations have a greater weight on the

[R-sig-eco] Can I weight LS means estimates by elevation in lme4/lmerTest packages?

tes = lsms[[1]]$Estimate At this point I would be plotting the estimates of the significant response variables and interactions to look at the differences. As I understand, the ecosystem effect and the interaction between ecosystem and quality are with an average elevation for all plots, and this could

[R-sig-eco] Identification of outliers using NMDS goodness of fit statistic

Scoyoc Graduate Research Assistant, Ecology Wildland Resources Department & Ecology Center Quinney College of Natural Resources Utah State University Logan, UT = Think SNOW! -- View this message in context: http://r-sig-ecology.471788.n2.nabble.com/Identification-of-outliers-using-NMDS-good