- DV: percentage (continuous)
- 2 categorical IV: diagnosis (2 levels: yes, no) & activity (4 levels: indep.craft, inperson, online, video). activity is my focal variable here.
- Covariate: age (continuous)
Here is my syntax:
Code: Select all
anovaRM(data,
rm = list(
list(
label = "activity",
levels = c("indep.craft", "inperson", "online", "video"))),
rmCells = list(
list(
measure = "indep.craft",
cell = "indep.craft"),
list(
measure = "inperson",
cell = "inperson"),
list(
measure = "online",
cell = "online"),
list(
measure = "video",
cell = "video")),
rmTerms = list(
"activity"),
bs = "diagnosis",
bsTerms = list(
"diagnosis"),
cov = "age",
effectSize = "partEta",
ss = '3', #type III (partial) sum of squares - appropriate for use when analyzing unbalanced data, including data with missing values
spherTests = TRUE,
leveneTest = TRUE,
postHoc = "activity",
postHocCorr = 'bonf')
Code: Select all
cov = "age"