Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- > data1.frame$response <- ordered(data1.frame$response)
- > str(data1.frame)
- 'data.frame': 840 obs. of 25 variables:
- row : int 2 13 16 28 34 36 45 46 57 59 ...
- response : Ord.factor w/ 9 levels "1"<"2"<"3"<"4"<..: 8 2 1 2 8 4 8 2 6 2 ...
- listeners : int 300101 300101 300101 300101 300101 300101 300101 300101 300101 300101 ...
- group : Factor w/ 3 levels "english","L2",..: 3 1 3 2 2 2 2 2 2 2 ...
- gender : Factor w/ 2 levels "female","male": 2 2 2 1 1 2 2 1 1 2 ...
- > mm1 <- clmm (response ~ group*gender + (1|listeners),data=data1.frame)
- > lsmeans(mm1, pairwise~group*gender, adjust="tukey")
- $lsmeans
- group gender lsmean SE df asymp.LCL asymp.UCL
- english female -1.12179261 0.4774200 NA -2.0576319 -0.1859533
- L2 female -0.10179043 0.4502577 NA -0.9843861 0.7808053
- thai female -0.32031742 0.4774696 NA -1.2562540 0.6156191
- english male -0.17082496 0.4743129 NA -1.1005736 0.7589237
- L2 male 0.07489604 0.4506737 NA -0.8085151 0.9583072
- thai male -0.46355260 0.4715354 NA -1.3878569 0.4607517
- Confidence level used: 0.95
- $contrasts
- contrast estimate SE df z.ratio p.value
- english,female - L2,female -1.02000218 0.2240555 NA -4.5524528 0.0001
- english,female - thai,female -0.80147519 0.2741795 NA -2.9231766 0.0406
- english,female - english,male -0.95096765 0.2691474 NA -3.5332591 0.0055
- english,female - L2,male -1.19668865 0.2258441 NA -5.2987370 <.0001
- english,female - thai,male -0.65824000 0.2631009 NA -2.5018542 0.1235
- L2,female - thai,female 0.21852699 0.2243050 NA 0.9742404 0.9262
- L2,female - english,male 0.06903453 0.2174003 NA 0.3175456 0.9996
- L2,female - L2,male -0.17668648 0.1593047 NA -1.1091105 0.8778
- L2,female - thai,male 0.36176217 0.2111101 NA 1.7136182 0.5227
- thai,female - english,male -0.14949246 0.2691721 NA -0.5553788 0.9938
- thai,female - L2,male -0.39521346 0.2252499 NA -1.7545557 0.4955
- thai,female - thai,male 0.14323518 0.2641898 NA 0.5421678 0.9944
- english,male - L2,male -0.24572100 0.2182780 NA -1.1257250 0.8709
- english,male - thai,male 0.29272764 0.2585628 NA 1.1321337 0.8681
- L2,male - thai,male 0.53844865 0.2124098 NA 2.5349522 0.1141
- P value adjustment: tukey method for a family of 6 means
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement