My current study looks at how Chinese and English view different advertisements that were manipulated on the length and type as follows:
- creative+long
- creative+short
- informative+long
- informative+short
In sum, this is a 2 x 2 x 2 Mixed ANOVA design, with the following independent variables (within subject) ad length and ad type; and (between subject) nationality; dependent variable is timeview. (the data set is here https://www.dropbox.com/s/mbwn2tlngyu3lhr/RMANOVA_1.xlsm?dl=0)
My main question is how can I produce the the interaction plots in R similar to those shown in the following websites. Can anyone provide the code based on my dataset? Many thanks
http://ifcuriousthenlearn.com/blog/2015/09/01/Industrial-Design-of-Experiments-with-r/
https://www.itl.nist.gov/div898/handbook/pri/section4/pri471.htm
https://stats.stackexchange.com/questions/62756/2x2x5-repeated-measures-anova-significant-3-way-interaction
I have also posted the same question in the following website: https://stats.stackexchange.com/questions/345613/how-to-create-interaction-plots-of-2x2x2-mixed-anova-bww-design-in-r
You should be able to do this using ggplot. If you look up three way interaction and ggplot on a site like stackoverflow I am sure there will be some pointers there. Good luck!
I am explaining this for two-way interaction efects in my book:
https://www.researchgate.net/project/Book-New-statistics-for-the-design-researcher
or here, directly: https://bookdown.org/schmettow/new_statistics_for_the_design_researcher/linear-models.html#interaction-effects
In brief:
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- Analyses of Variance
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