Questions tagged [lsmeans]

An R package for obtaining least-squares means for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays.

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Multiple comparisons of groups with emmeans of a clm: Error in UseMethod("vcoc"): no applicable methos for 'vcov' applied to an object of class "clm"

I'm trying to make a post-hoc tests with emmean/lsmeans for multiple comparisons of groups. In fact, I'm trying to recreate an example found here: https://rcompanion.org/handbook/G_11.html. Thus, I have a model which looks like…
Fabian
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Least-square means do not match with interaction plot point coordinates

From a fitted lmer model. Note: not transformation of the predictors was done. lmer.model=lmer(share ~ gender+ age_group + overall_photo_share_freq_group+ affiliative_score_group*valence_group*condition+ …
Rakib
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R pairwise post-hoc to get contrasts of contrasts for interaction?

I'm running a mixed-effects model in R and I want to know if there is code I can run to get contrasts of contrasts for an interaction for post-hoc testing. A. Ie. the tukey test I'm running at the moment is this: There are 2 regions (ML and HG) and…
Roseanna
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R: How to display mean-separation letters for 2-way ANOVA when interactions are not significant?

I am comparing a fertilizer experiment where I have a response variable (growth rate) with two independent variables (genotype and rate). I ran a 2-way ANOVA using the lsmeans, car, and multcompView packages in R. My interaction effects are not…
ihb
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glmmadmb no longer supported in lsmeans. Alternative packages?

My data is zero inflated so I'm running a zero-inflated model using glmmamdb: Model3z <- glmmadmb(Count3 ~ Light3 + (1|Site3), zeroInflation = T, family= "poisson", data = dframe3) However, when I try and do pairwise comparisons of the different…
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How to successfully download the old version of lsmeans package

I'd like to download version 2.26-3 of lsmeans package. An error occurs when I try to download an old version of the lsmeans package. I've tried two options for downloading the old versions of lsmeans. Option 1) path<-…
SkipT
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Specific within group comparisons for lsmeans

I would like to limit the post-hoc contrasts calculated using the package 'lsmeans' in R. library(nlme) #for gls model<-gls(time~ benchmark*gc*opt, method="REML",data=d) lsmeans.d<-lsmeans(model, ~benchmark:gc:opt) pairs(lsmeans.d) This outputs…
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Post hoc for binary GLMM (lme4) and plot

So I'm an R novice attempting a GLMM and post hoc analysis... help! I've collected binary data on 9 damselflys under 6 light levels, 1=response to movement of optomotor drum, 0=no response. My data was imported into R with the headings 'Animal_ID,…
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Invalid argument in the lsmeans model?

I am getting the error saying lsmDrugs=lsmeans(model1, -drug) Error in -drug : invalid argument to unary operator" Any help please? library(knitr) library(lsmeans) drug <- c(rep("A", 2),rep("B", 2),rep("C", 2)) drugDiff <- c(-14, -4, 5, -1,…
user8826976
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"Contrast Error" message with lsmeans Tukey Test on GLM

I have defined a generalised linear model as follows: glm(formula = ParticleCount ~ ParticlePresent + AlgaePresent + ParticleTypeSize + ParticlePresent:ParticleTypeSize + AlgaePresent:ParticleTypeSize, family = poisson(link = "log"), data =…
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Constructing repeated measures ANOVA in R and extracting ls means.

I am trying to properly construct a repeated measures ANOVA in R and extract the associated lsmeans. My data consists of a dependent variable (rSWC) and a predictor (Geno). The full dataset is as below: > str(mydata) 'data.frame': 153 obs. of 5…
C24
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lsmeans and continuous time

I would like to have your help on this problem. I wish to express the evolution of a quality of life score over the time with adjustment on clinical factors. I work on a cohort of more than 1000 patients and a quality of life form was delivered…
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How to obtain absolute differences after predictions (with lsmeans) from a logistic model

I am using a logistic model for a binary outcome with three independent predictors. After adjusting the model, I want to estimate predictions of my outcome (y) using marginal means (lsmeans) and contrast such predictions. However, I noticed that the…
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error message lsmeans for beta mixed regression model with glmmTMB

I am analyzing the ratio of (biomass of one part of a plant community) vs. (total plant community biomass) across different treatments in time (i.e. repeated measures) in R. Hence, it seems natural to use beta regression with a mixed component…
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R: Obtaining lsmeans for each row of data

I am currently attempting to use lsmeans on a negative binomial model to obtain least squared means for each participant in my dataset. I am able to ascertain lsmeans by my exposure of interest, but not adjusted means for each participant. My code…