Data from Searle
Details
A dataframe with 2 treatment factors. The treatment combinations form 3 disconnected groups.
Examples
cbind(data_searle,
.group=con_check(data_searle, ~ f1 + f2))
#> f1 f2 .group
#> 1 1 1 3
#> 2 2 3 1
#> 3 2 4 1
#> 4 3 2 2
#> 5 3 6 2
#> 6 4 1 3
#> 7 4 5 3
#> 8 4 7 3
#> 9 5 3 1
#> 10 5 4 1
#> 11 6 3 1
#> 12 6 4 1
#> 13 7 2 2
#> 14 7 6 2
data_searle = transform(data_searle,
y = rnorm(nrow(data_searle), mean=100))
con_view(data_searle, y ~ f1*f2, cluster=FALSE, main="Searle unsorted")
#> Warning: There are 3 groups
con_view(data_searle, y ~ f1*f2, main="Searle clustered")
#> Warning: There are 3 groups