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In rvlenth/emmeans: Estimated Marginal Means, aka Least-Squares Means

name: Question about: I have a question about emmeans title: '' labels: question assignees: ''

Please ensure that you are in the right place

Some model classes have their emmeans support in another package -- e.g., the one that defines the model class itself. If so, you should consider directing your question to that package, rather than to emmeans.

Please show me the actual results from emmeans function(s)

Often there are useful annotation that you'll miss if you post-process your code. Seeing the actual results may even answer your question!

# --- Actual results (YES):
emmeans(mod, ~ Sex)
##  Sex emmean    SE  df asymp.LCL asymp.UCL
##  F   -1.432 0.582 Inf    -2.572    -0.291
##  M    0.392 0.492 Inf    -0.573     1.356
## 
## Results are averaged over the levels of: Treatment 
## Results are given on the logit (not the response) scale. 
## Confidence level used: 0.95

# --- Filtered results (NO):
emmeans(mod, ~ Sex) %>% as_tibble()
## # A tibble: 2 × 6
##   Sex   emmean    SE    df asymp.LCL asymp.UCL
##   <fct>  <dbl> <dbl> <dbl>     <dbl>     <dbl>
## 1 F     -1.43  0.582   Inf    -2.57     -0.291
## 2 M      0.392 0.492   Inf    -0.573     1.36

Explain your question

Tell me your concern, and illustrate it using enough code and output that I can reproduce it, and enough output (including annotations and messages) that I can tell what went wrong. Try to keep the example small and the variable names simple.

Ground rules

• I really do expect you to look at the documentation and vignettes before sending questions.
• Did you know that there is an index of vignette topics? That can be helpful for finding help on certain topics. See https://cran.r-project.org/web/packages/emmeans/vignettes/vignette-topics.html
• More than one or two pipes is usually too many. I'd rather see the individual steps and the results thereof.
• Please examine the direct output from what you have tried. Often there are a few lines of annotation below the output. If you wrap or pipe your results with some kind of post-processing, you suppress those annotations. I consider that willful ignorance, and will not help you.
• Please do not create different objects having the same name; that causes confusion and makes it hard to refer to particular results.

rvlenth/emmeans documentation built on May 5, 2024, 3:07 a.m.