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Dec 13th, 2017
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  1. my_lm <- lm(Dim4 ~ Category*Region, data=df)
  2. summary(my_lm)
  3. Anova(my_lm, type = "III")
  4.  
  5. TukeyHSD(aov(my_lm), ordered=TRUE)
  6.  
  7. $Category
  8. diff lwr upr p adj
  9. Tweets-Conversations 0.6843803 -0.279052730 1.647813 0.2961601
  10. Comments-Conversations 1.6552203 0.665253423 2.645187 0.0000540
  11. $Region
  12. diff lwr upr p adj
  13. US-PK 1.146865 0.7036846 1.590046 5e-07
  14.  
  15. $`Category:Region`
  16. diff lwr upr p adj
  17. Conversations:US-Tweets:PK 0.04138269 -1.46974284 1.552508 1.0000000
  18. Conversations:PK-Tweets:PK 0.30818926 -1.31628692 1.932665 0.9998612
  19. Comments:PK-Tweets:PK 1.20670619 -0.35032424 2.763737 0.2931398
  20. Tweets:US-Tweets:PK 1.78097509 0.24027735 3.321673 0.0097448
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