Hello there,
I would appreciate if you could provide some tips on how to use lsmeans to make interaction plots in R.
Thanks alot
You can use the output of the cld function as data frame. It gives you the ls means and the confidence intervals for each treatment combination.
I have some examples in http://rcompanion.org/handbook/ , but there's not a perfect one for this case. I'll try to mock one up quickly.
Hi Salvatore,
lsmeans function gives me lsmeans and SEM, I am OK with that step. Interaction plot gives interaction plots, I am also OK with that step but how to use that lsmeans and SEM to make graphs or use in interaction plots in R, any suggestions please? Would appreciate,
R code for producing an interaction plot from the lsmeans output can be found at the following link.
http://rcompanion.org/handbook/G_06.html#plot
Perfect, will look at it and may come back if there is anything. Thanks a lot, appreciated!!
There is R code on p. 67 of the book in the link to draw the plot. Best wishes, David
https://www.amazon.com/Analysis-Experiments-Chapman-Statistical-Science/dp/1439868131/ref=sr_1_1?ie=UTF8&qid=1487410817&sr=8-1&keywords=john+lawson+r
Get a look to this:
https://cran.r-project.org/web/packages/phia/vignettes/phia.pdf
Cheers!
Hi Marianna, Thanks! Do you also have R codes to calculate AUC from time series data?
Hi!
No, I am sorry. I am not working with that kind of data frame...
Good luck!
You can use the ggeffects-package (https://cran.r-project.org/package=ggeffects) or sjPlot-package (https://cran.r-project.org/package=sjPlot) to plot marginal effects / least square means of models with interaction terms.
See the related vignettes for examples:
https://cran.r-project.org/web/packages/ggeffects/vignettes/marginaleffects.html
https://cran.r-project.org/web/packages/sjPlot/index.html
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