R Tutorial: Linear mixed-effects models part 1- Repeated measures ANOVA

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  1. Statistics Guides with Prof Paul Christiansen
  2. R Stats
  3. Rstats
  4. repeated measures ANOVA
  5. within subjects ANOVA
  6. linear mixed-effects model
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Комментарии
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This is so easy to follow - thank you!

sarahmo
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Dear, Dr. Christiansen,

How would you write down this analysis in the method section of a paper?
I'm struggling to write it down the correct way.

Many thanks.

tijmenhermen
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Great tutorial. I always wondered what is the standard in reporting lme results. I usually report them using the fixed effects F tests, but many people report the betas. Any thoughts on this?

rayray
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Hi all,

This tutorial is extremely helpful! Unfortunately, I am repeatedly getting the following error when trying to define my DV: "Error in eval(predvars, data, env) : object 'Cortisol' not found." Does anyone know why this would be? My experimental design is pretty much exactly like the example in the tutorial (individuals as a random factor, 3 levels of IV and a single DV). This is my first time using R software so I'm learning on the go! Thank you in advance!

kieranmarshall
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Great tutorial. I wonder how I can report these results in my paper. Can you please give me some direction?

soroushfazel
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Quick question Dr. Chistiansen, would this method work if there are missing variables in my data? I have read elsewhere that the ANOVA approach is not the best one if there are missing variables?

blowjobxxx
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Hi, thanks for the great video.
I have various missing data across my dataset. Both at the response and predictor/covariate level. Is it possible to include these missing data? When I run it in R, I would assume the function would fill in my missing values/blanks, but it doesn't and therefore I get uneven groups at the different time points (outcome level). So I was wondering whether to omit the NAs or include them (and specifically can these NAs exist in the predictor level or response/outcome level or both.

avnistar
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Hi, Thanks for the lesson. It was very helpful. But I am having problem while using "emmeans". Rstudio is showing this message "Error in missDataFUN(data): argument "ex" is missing. with no default. Do you have any idea why I am getting this?

sultanasolaiman