data/ius2008.R
In Rapporter/rapport: A Report Templating System
ius2008 <- structure(list(gender = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("male",
"female"), class = "factor", label = "Gender"), age = structure(c(19L,
48L, 20L, 46L, 24L, 22L, 20L, 23L, 24L, 24L, 22L, 45L, 23L, 21L,
32L, 22L, 23L, 22L, 29L, 50L, 23L, 20L, 22L, 17L, 22L, 20L, 19L,
16L, 28L, 21L, 21L, 21L, 21L, 24L, 31L, 20L, 18L, 25L, 22L, 21L,
18L, 26L, 45L, 43L, 22L, 26L, 23L, 21L, 22L, 19L, 25L, 24L, 20L,
23L, 37L, 21L, 23L, 29L, 31L, 28L, 30L, 26L, 18L, 26L, 37L, 25L,
44L, 17L, 21L, 27L, 30L, 21L, 21L, 48L, 21L, 30L, 22L, 25L, 19L,
22L, 19L, 20L, 30L, 58L, 32L, 31L, 31L, 20L, 20L, 19L, 54L, 18L,
28L, 18L, 19L, 19L, 17L, 24L, 19L, 20L, 28L, 16L, 20L, 24L, 26L,
18L, 31L, 24L, 20L, 18L, 21L, 29L, 22L, 48L, 25L, 20L, 20L, 20L,
49L, 26L, 20L, 16L, 21L, 18L, 19L, 18L, 21L, 17L, 25L, 22L, 24L,
21L, 24L, 24L, 19L, 23L, 22L, 20L, 25L, 22L, 30L, 37L, 22L, 27L,
20L, 53L, 20L, 25L, 25L, 24L, 20L, 26L, 20L, 23L, 52L, 21L, 27L,
24L, 24L, 25L, 21L, 18L, 23L, 17L, 22L, 25L, 25L, 27L, 21L, 25L,
34L, 19L, 22L, 21L, 22L, 30L, 23L, 24L, 21L, 23L, 26L, 22L, 21L,
24L, 21L, 28L, 24L, 26L, 24L, 30L, 24L, 27L, 23L, 18L, 23L, 17L,
33L, 23L, 20L, 20L, 20L, 22L, 32L, 18L, 20L, 28L, 21L, 20L, 16L,
29L, 24L, 18L, 25L, 28L, 21L, 23L, 23L, 19L, 28L, 20L, 22L, 31L,
20L, 16L, 29L, 22L, 17L, 23L, 31L, 17L, 35L, 33L, 23L, 31L, 25L,
26L, 26L, 26L, 43L, 20L, 23L, 22L, 24L, 27L, 21L, 24L, 25L, 20L,
28L, 30L, 33L, 18L, 17L, 22L, 32L, 19L, 21L, 24L, 21L, 20L, 22L,
28L, 34L, 23L, 22L, 23L, 20L, 37L, 16L, 21L, 24L, 19L, 21L, 20L,
22L, 36L, 33L, 26L, 21L, 19L, 24L, 30L, 22L, 16L, 24L, 22L, 38L,
19L, 41L, 18L, 18L, 19L, 20L, 28L, 23L, 23L, 23L, 31L, 29L, 19L,
23L, 25L, 21L, 21L, 18L, 21L, 25L, 17L, 24L, 19L, 30L, 21L, 23L,
27L, 17L, 33L, 22L, 21L, 32L, 26L, 27L, 18L, 19L, 33L, 33L, 29L,
19L, 19L, 21L, 21L, 17L, 24L, 16L, 17L, 28L, 23L, 28L, 50L, 16L,
18L, 22L, 21L, 22L, 16L, 18L, 23L, 22L, 31L, 19L, 20L, 44L, 27L,
17L, 28L, 24L, 25L, 20L, 22L, 24L, 25L, 20L, 18L, 29L, 26L, 23L,
24L, 35L, 19L, 22L, 24L, 24L, 27L, 17L, 24L, 23L, 17L, 22L, 22L,
25L, 27L, 22L, 26L, 26L, 26L, 24L, 21L, 45L, 18L, 25L, 29L, 31L,
36L, 20L, 22L, 28L, 18L, 18L, 24L, 24L, 20L, 17L, 23L, 21L, 26L,
17L, 33L, 29L, 34L, 42L, 20L, 32L, 16L, 24L, 29L, 37L, 23L, 24L,
22L, 25L, 40L, 17L, 16L, 25L, 33L, 18L, 17L, 18L, 29L, 23L, 24L,
21L, 18L, 43L, 30L, 22L, 25L, 24L, 25L, 38L, 22L, 19L, 22L, 22L,
27L, 26L, 22L, 25L, 23L, 20L, 50L, 46L, 41L, 21L, 28L, 22L, 26L,
42L, 16L, 20L, 17L, 26L, 26L, 18L, 24L, 29L, 20L, 26L, 29L, 25L,
20L, 20L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 20L, 20L, 20L,
28L, 29L, 20L, 23L, 21L, 33L, 24L, 26L, 28L, 22L, 22L, 33L, 17L,
26L, 37L, 30L, 23L, 20L, 36L, 25L, 20L, 23L, 21L, 17L, 20L, 29L,
30L, 21L, 20L, 26L, 25L, 21L, 33L, 38L, 25L, 29L, 22L, 38L, 27L,
19L, 21L, 31L, 24L, 19L, 28L, 21L, 45L, 23L, 27L, 32L, 26L, 56L,
20L, 24L, 25L, 18L, 26L, 24L, 22L, 23L, 30L, 44L, 18L, 50L, 21L,
27L, 20L, 22L, 20L, 23L, 20L, 24L, 24L, 25L, 20L, 23L, 25L, 24L,
21L, 30L, 22L, 25L, 22L, 19L, 23L, 26L, 20L, 21L, 22L, 26L, 24L,
23L, 16L, 24L, 23L, 26L, 26L, 26L, 18L, 16L, 16L, 26L, 26L, 21L,
20L, 20L, 20L, 19L, 19L, 20L, 19L, 20L, 20L, 18L, 20L, 22L, 19L,
21L, 21L, 22L, 21L, 22L, 21L, 19L, 19L, 26L, 28L, 25L, 27L, 25L,
34L, 28L, 20L, 20L, 23L, 27L, 24L, 26L, 37L, 43L, 22L, 19L, 25L,
21L, 25L, 39L, 27L, 24L, 21L, 24L, 21L, 16L, 20L, 25L, 28L, 23L,
21L, 29L, 52L, 48L, 27L, 23L, 19L, 22L, 16L, 26L, 23L, 24L, 32L,
23L, 21L, 25L, 21L, 31L, 50L, 19L, 28L, 21L, 19L, 22L, 27L, 24L,
21L, 27L, 24L, 16L, 24L, 24L, 23L, 22L, 22L, 22L, 32L, 25L, 24L,
21L, 29L, 24L, 21L, 18L, 33L, 35L, 21L, 21L, 23L, 20L, 28L, 22L,
26L, 34L, 21L, 24L, 18L, 19L, 21L, 21L, 23L, 20L, 22L, 27L, 17L,
40L, 29L, 23L, 27L, 20L, 26L), label = "Age"), dwell = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L,
2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 2L, 1L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 3L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L,
1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L), .Label = c("city", "small town", "village"), class = "factor", label = "Dwelling"),
student = structure(c(2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L,
1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L,
2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L,
1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L,
1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L,
2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L,
1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L,
2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L,
1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L,
1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L), .Label = c("no",
"yes"), class = "factor", label = "Student"), partner = structure(c(3L,
3L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 2L, 3L, 3L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 3L,
3L, 3L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 3L,
1L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L,
1L, 3L, 1L, 3L, 1L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 1L, 3L, 3L,
1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L,
1L, 3L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 3L, 3L, 2L, 2L, 1L,
3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 1L, 3L,
1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 2L, 3L, 1L, 3L, 3L, 1L, 1L,
3L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L,
1L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 3L,
2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 1L,
3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 3L,
1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L,
1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L,
3L, 3L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 1L,
1L, 1L, 3L, 1L, 2L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 3L, 3L,
2L, 1L, 3L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 2L,
3L, 1L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 3L, 3L, 3L, 3L, 3L,
1L, 3L, 3L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L,
3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 3L, 2L, 3L, 3L, 1L, 3L,
3L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L,
3L, 3L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 3L, 3L,
3L, 1L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 1L, 1L,
1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 2L, 2L,
3L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L,
1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
3L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L,
1L, 1L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L,
1L, 3L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 1L,
3L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L,
2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 3L,
1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 1L,
1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L,
3L, 1L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 2L, 1L, 3L, 1L,
3L, 3L, 3L, 1L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 1L, 3L, 3L, 1L,
3L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 3L, 1L, 1L,
3L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 1L,
1L, 1L, 2L, 3L, 1L, 3L, 2L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 3L,
1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L,
1L, 1L, 1L), .Label = c("in a relationship", "married", "single"
), class = "factor", label = "Relationship status"), edu = structure(c(2,
8, 1.5, 1, 1, 0.5, 0, 1.5, 1, 5, 1, 4, 10, 2, 1, 0.5, 2,
5, 1, 3, 6, 1, 4, 1, 4, 2, 3, 0.5, 4, 0.5, 1, 1, 1, 5, 9,
1, 1, 1.5, 1, 1, 0.5, 0.5, 4, 3, 1, 5, 5, 1, 0.5, 3, 2, 5,
1, 8, 3, 0.5, 5, 4, 5, 0.5, 1, 2, 0.5, 1, 3, 0.5, 4, 0.5,
1, 0.5, 2, 1, 3, 3, 2, 0.5, 0, 0.5, 1, 1, 1.5, 0.5, 0.5,
8, 2, 8, 3, 2, 1, 1, 1.5, 0.5, 4, 1, 2, 0.5, 3.5, 1, 0.5,
1, 2.5, 2, 2, 2, 0, 0.5, 1.5, 8, 0, 4.5, 4, 8, 1.5, 2, 4,
0.5, 0, 0.5, 1, 3, 0.5, 0, 8, 1, 0.5, 1, 0.5, 1, 0, 1, 7,
1, 1, 5, 2.5, 2.5, 4, 3, 2.5, 1.5, 4, 6, 0.5, 2.5, 2, 1,
0, 0, 2, 2, 2, 0.5, 1, 1, 1, 1, 1, 0, 1, 3, 2, 1, 3, 0.5,
2.5, 5, 5, 0, 5, 4, 0.5, 1, 0.5, 0.5, 2, 1, 3, 2, 1, 1, 2,
0.5, 1, 8, 0.5, 0.5, 1, 0.5, 2, 2, 0.5, 1, 1, 0, 1, 1, 3,
2, 3, 1, 1, 0, 0, 2, 0, 1, 1, 4, 0.5, 8, 1, 2, 0, 5, 3, 1,
2, 0.5, 1, 1, 0, 0.5, 0.5, 0, 0.5, 1, 3, 2, 2, 0, 0.5, 1,
2, 1, 2, 0, 4, 3, 2, 2, 3, 1, 0, 8, 2, 1, 4, 1, 2, 9, 3,
1, 1, 1, 2, 0.5, 1, 0.5, 0.5, 1, 0, 1, 3, 2, 1, 2, 1, 1,
3, 0, 2, 0.5, 10, 3, 0.5, 3, 0, 0.5, 0.5, 2, 1.5, 2, 0.5,
0.5, 2, 3, 1, 1, 1, 2, 1.5, 1, 2, 6, 6, 8, 0.5, 3, 12, 0.5,
5, 8, 1, 4, 0, 1, 8, 2, 8, 1, 4, 4, 3, 1, 1.5, 1, 0.5, 1,
1, 1, 1, 3, 0.5, 5, 1, 2, 2, 2, 1, 1, 0.5, 6, 1, 2, 1, 0,
1, 3, 0.5, 1, 3, 1, 12, 1, 1.5, 1, 3, 0, 0.5, 1, 8, 5, 2,
1.5, 6, 8, 1, 8, 3, 1, 4, 2.5, 2, 1, 0, 0, 5.5, 2.5, 1, 1,
1.5, 0, 1, 0, 1, 0.5, 1, 3, 2, 0, 2, 3, 3, 3, 1, 1, 8, 1,
0, 8, 0, 1, 3, 0, 5, 2, 4, 0, 8, 1, 0.5, 4, 2, 1, 2.5, 2,
1, 0.5, 12, 6, 4, 2, 4, 4.5, 3, 0.5, 0.5, 0, 4, 8, 3, 5,
8, 1, 3, 5, 0, 2, 3, 2, 6, 1, 1, 5, 2, 1, 0.5, 1, 1, 2.5,
1, 1, 1, 1, 2, 0.5, 2, 4, 1, 3, 2, 0.5, 2, 1, 1, 1, 2, 1,
1, 0.5, 1, 1.5, 0.5, 2, 0.5, 1, 5, 0, 4, 2, 0.5, 0.5, 1,
1, 1, 1, 2, 0.5, 1, 1, 1, 1, 3.5, 2, 1, 3, 2, 1, 0.5, 1,
0.5, 0, 2, 1, 2, 4, 1, 1, 2, 0.5, 1, 2.5, 1.5, 2, 1, 0.5,
1, 2, 2, 1, 2, 1, 6, 1.5, 6, 1, 1, 1.5, 1, 2, 3, 0.5, 1,
3, 4, 2, 5, 1, 3, 3, 1, 1.5, 2.5, 5, 1.5, 5, 2, 3, 5, 1,
1.5, 1, 1, 2, 1, 2, 0.5, 0.5, 0.5, 1, 0.5, 1, 1.5, 2, 3,
4, 0, 1.5, 6, 6, 1, 1, 3, 1, 4, 1, 0, 2, 4, 0.5, 2, 4, 1,
1.5, 6.5, 2, 4, 3, 5, 2.5, 0.5, 1, 0, 2, 3, 0.5, 0, 0, 1,
1, 2, 1, 1.5, 0, 2, 3, 0.5, 1, 1, 1, 2, 1, 1, 3, 1, 0, 0,
3, 1.5, 1, 6, 2, 1, 0, 1, 0.5, 0, 4, 4, 5, 0.5, 1, 1, 2,
5, 0, 3, 1, 5, 3, 0.5, 1, 0.5, 0, 0.5, 0.5, 2, 0, 2.5, 3,
8, 3, 0.5, 0.5, 2, 2.5, 2, 3, 1, 2.5, 8, 0, 1, 1, 5, 1, 1.5,
0, 2, 2, 2, 2.5, 0, 3, 1, 0.5, 1, 0.5, 2, 1, 3, 1, 0, 2,
2, 2, 2, 5, 4, 0, 2, 5, 1, 2, 3, 1, 5, 3, 1, 3, 1, 0.5, 1,
0, 0.5, 2, 1, 0.5, 2, 0.5, 1, 1, 0.5, 8, 8.5, 0, 0, 0.5,
1), label = "Internet usage for educational purposes (hours per day)"),
leisure = structure(c(5, 5, 3, 1, 2, 0.5, 5, 3, 2, 5, 2,
3, 1, 2, 5.5, 2, 2, 4, 1, 5, 1, 4, 2, 3, 1, 2, 5, 5, 4, 5,
3, 4, 4, 5, 1.5, 7, 3, 1, 1, 2, 1, 4, 1, 0, 2, 3, 1, 4, 1,
4, 3.5, 2, 2, 1, 3, 2, 2, 2, 3, 5.5, 0, 1, 3, 1, 3, 2, 2,
1, 2, 0.5, 1, 5, 2, 2, 5, 1.5, 2, 2, 1, 3, 2, 4, 2.5, 8,
2, 4, 1, 2, 3, 2, 1, 4, 4, 2, 2, 2, 5, 2, 4, 2, 6, 4, 6,
2, 3, 2.5, 1, 4, 6, 7, 5, 3, 2, 1, 3, 0.5, 2, 0.5, 3, 3,
1, 3, 2, 2.5, 2, 4, 1.5, 1, 2, 2, 5, 4, 4, 5, 2, 5, 2, 3,
0.5, 3, 1, 2, 2, 3, 3, 1, 1, 1, 0.5, 1, 2, 0.5, 1, 2, 1,
4, 2, 1.5, 1, 6, 7, 2, 2, 5.5, 3, 2.5, 8, 2, 7, 12, 1.5,
2, 5, 4, 3, 2, 6, 6, 4, 2, 5, 4, 4, 8, 3, 2, 3, 1, 0.5, 2,
1.5, 3, 2, 5, 1, 3, 5, 4, 4, 2, 3, 3, 1, 1, 3, 3, 3, 2, 4.5,
4, 1, 4, 6, 3, 2, 4, 2, 2, 2, 1, 4, 2, 2, 2, 2, 4, 5, 2,
2, 1.5, 2, 1, 2, 5, 1, 3, 2, 3, 2, 3, 2, 1, 2, 3, 3, 1, 2,
3, 3, 5, 2, 2, 1, 5.5, 2, 3, 3, 1, 2, 2, 3, 3, 1, 1, 3, 8,
1, 3, 0, 5, 2, 1, 5, 1, 0.5, 3, 6, 4, 1, 5, 5, 6, 2, 0.5,
4, 4, 2, 2, 5, 4, 2.5, 4, 4.5, 7, 6, 2, 1, 4, 3, 3, 3, 8,
2.5, 1, 3, 4, 8, 6, 2, 6, 4, 6, 5, 2, 5, 6, 1.5, 3, 3, 3,
3, 2, 5, 3, 3, 4, 10, 3, 3, 1.5, 2, 8, 4.5, 3, 1, 4, 4, 3,
3, 2, 8, 10, 2.5, 3.5, 5, 3, 3, 6, 5, 1.5, 3, 2, 2, 6, 3,
3, 3, 5, 2, 2, 5, 5.5, 8, 7, 6, 4, 6.5, 5, 8, 2, 3.5, 5,
5, 4, 2, 2, 3.5, 3, 8, 2, 5, 5, 5, 5, 0, 5, 5, 5, 7, 2, 3,
5, 4, 4, 8, 5, 6, 5, 4, 5, 4, 4, 10, 3, 3.5, 2, 2, 3, 3,
6, 4, 5, 4, 3.5, 5, 1, 3, 4, 5, 8, 10, 7, 8, 4, 5, 5, 5,
8, 6, 4, 8, 8, 3, 2, 5, 1, 3, 1, 2, 2, 3.5, 2, 1.5, 1, 2,
0.5, 3, 3, 4, 2, 1, 1, 2.5, 1, 1, 2, 4, 5, 6, 1.5, 1, 2,
0.5, 4, 4, 1, 1, 5, 1, 4, 0.5, 1, 0, 4, 1, 4, 1.5, 0.5, 1,
1, 3, 2, 2, 3, 1, 1, 0.5, 2, 3, 3, 2, 5, 2, 1, 4.5, 4, 2,
3, 1, 7, 2, 1, 2, 3, 2, 2, 3, 3, 1, 1, 2, 3, 2, 0, 6, 2,
1, 2, 5, 2, 0.5, 1, 4, 1, 4, 3, 1, 2, 1, 2, 2, 0.5, 1.5,
8, 1.5, 1, 1, 10, 4, 5, 0.5, 4, 4, 2, 3, 1, 1.5, 2, 0.5,
0.5, 0.5, 2, 0.5, 2, 4, 1, 2, 2, 2, 3, 1, 0, 5, 1, 4, 1,
8, 3, 3, 0.5, 4, 2, 1, 2.5, 4, 2, 2, 3, 4, 0.5, 1.5, 1.5,
2.5, 2, 3, 0.5, 1, 1, 1, 2, 0, 1, 1.5, 2, 0, 1, 0.5, 1, 2,
3, 10, 5, 2, 3, 3, 1, 1, 3, 9, 2, 2, 2, 1, 4, 2, 2, 10, 6,
6, 1, 3.5, 3, 3, 8, 1, 3, 7, 2, 4, 5, 2, 1.5, 3, 6.5, 2,
1, 4, 6, 5, 6, 5, 2, 2, 2, 6, 3.5, 5, 7, 3, 4, 1, 4, 5, 5,
3, 3, 4, 10, 3, 2, 5, 1.5, 1, 3, 3, 4.5, 2, 4, 0, 3, 1, 3,
6, 7, 4, 4, 5, 10, 4, 5, 6, 7, 10, 3, 10, 10, 5, 12, 2, 5,
3, 3, 3, 5, 2, 5, 4, 10, 10, 5, 5, 3, 8, 6, 3.5, 3, 10, 5,
5), label = "Internet usage in leisure time (hours per day)"),
net.required = structure(c(4L, 5L, 5L, 5L, 4L, 4L, 1L, 5L,
1L, 5L, 5L, 5L, 5L, 5L, 2L, 4L, 5L, 5L, 5L, 1L, 5L, 3L, 5L,
4L, 5L, 5L, 5L, 2L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 2L, 1L, 4L,
4L, 3L, 5L, 5L, 4L, 5L, 3L, 4L, 5L, 5L, 3L, 4L, 1L, 5L, 4L,
5L, 1L, 3L, 4L, 5L, 3L, 2L, 5L, 4L, 1L, 4L, 4L, 2L, 4L, 4L,
4L, 3L, 4L, 4L, 5L, 4L, 4L, 4L, 2L, 2L, 4L, 3L, 3L, 2L, 2L,
5L, 4L, 3L, 4L, 4L, 3L, 4L, 4L, 2L, 4L, 3L, 5L, 3L, 1L, 4L,
4L, 3L, 5L, 2L, 1L, 1L, 3L, 1L, 4L, 5L, 3L, 5L, 5L, 5L, 5L,
5L, 4L, 4L, 4L, 4L, 3L, 5L, 1L, 2L, 5L, 4L, 1L, 1L, 4L, 2L,
3L, 5L, 4L, 2L, 5L, 4L, 5L, 3L, 5L, 5L, 5L, 1L, 5L, 5L, 4L,
5L, 3L, 4L, 1L, 1L, 4L, 5L, 5L, 4L, 1L, 3L, 4L, 5L, 4L, 2L,
5L, 4L, 1L, 2L, 4L, 3L, 4L, 4L, 5L, 3L, 1L, 5L, 3L, 3L, 3L,
4L, 3L, 5L, 4L, 3L, 4L, 5L, 3L, 4L, 4L, 5L, 3L, 3L, 3L, 3L,
5L, 4L, 1L, 1L, 3L, 1L, 3L, 3L, 4L, 5L, 4L, 3L, 4L, 3L, 5L,
4L, 1L, 3L, 4L, 5L, 1L, 5L, 3L, 5L, 4L, 4L, 4L, 3L, 3L, 4L,
4L, 4L, 2L, 5L, 3L, 1L, 1L, 3L, 3L, 4L, 5L, 2L, 1L, 4L, 3L,
4L, 5L, 4L, 5L, 4L, 4L, 3L, 5L, 4L, 3L, 5L, 3L, 3L, 5L, 5L,
4L, 5L, 4L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 5L, 3L, 4L, 5L,
4L, 5L, 4L, 5L, 1L, 1L, 4L, 1L, 4L, 5L, 5L, 3L, 3L, 2L, 2L,
3L, 3L, 3L, 3L, 2L, 1L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 4L,
5L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 3L, 3L,
5L, 4L, 4L, 3L, 5L, 4L, 4L, 3L, 1L, 3L, 3L, 4L, 3L, 5L, 4L,
5L, 4L, 4L, 3L, 4L, 1L, 3L, 1L, 5L, 1L, 5L, 3L, 1L, 5L, 4L,
3L, 4L, 2L, 2L, 5L, 3L, 3L, 4L, 4L, 1L, 3L, 4L, 4L, 3L, 5L,
1L, 5L, 5L, 2L, 5L, 4L, 4L, 5L, 5L, 5L, 2L, 1L, 3L, 1L, 2L,
3L, 4L, 3L, 3L, 1L, 1L, 4L, 2L, 4L, 3L, 5L, 4L, 4L, 5L, 5L,
5L, 4L, 5L, 1L, 5L, 1L, 4L, 1L, 2L, 4L, 5L, 1L, 1L, 4L, 2L,
3L, 4L, 3L, 4L, 3L, 2L, 3L, 3L, 5L, 4L, 5L, 4L, 4L, 4L, 4L,
4L, 1L, 4L, 1L, 1L, 4L, 5L, 1L, 3L, 5L, 3L, 5L, 4L, 3L, 1L,
3L, 4L, 3L, 4L, 5L, 5L, 4L, 3L, 4L, 4L, 3L, 4L, 3L, 3L, 4L,
3L, 4L, 4L, 3L, 5L, 4L, 4L, 5L, 1L, 3L, 3L, 3L, 4L, 4L, 4L,
1L, 4L, 4L, 3L, 4L, 5L, 3L, 4L, 5L, 1L, 4L, 4L, 4L, 3L, 4L,
2L, 5L, 2L, 3L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 3L, 5L, 4L, 3L,
4L, 4L, 2L, 1L, 3L, 4L, 3L, 5L, 5L, 3L, 4L, 3L, 5L, 4L, 3L,
4L, 4L, 5L, 3L, 5L, 4L, 3L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L,
4L, 3L, 3L, 2L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 4L, 3L, 3L,
5L, 5L, 3L, 3L, 5L, 4L, 4L, 5L, 3L, 3L, 5L, 3L, 5L, 3L, 1L,
4L, 4L, 3L, 4L, 5L, 5L, 3L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 5L,
3L, 4L, 3L, 4L, 2L, 4L, 3L, 5L, 5L, 4L, 5L, 3L, 4L, 5L, 4L,
4L, 5L, 4L, 4L, 1L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L,
1L, 4L, 3L, 5L, 4L, 4L, 2L, 3L, 4L, 4L, 4L, 2L, 4L, 4L, 4L,
2L, 4L, 5L, 4L, 5L, 1L, 4L, 4L, 4L, 1L, 5L, 4L, 4L, 3L, 4L,
5L, 3L, 2L, 3L, 3L, 5L, 4L, 4L, 3L, 3L, 3L, 5L, 5L, 4L, 5L,
5L, 4L, 5L, 4L, 4L, 3L, 4L, 3L, 3L, 5L, 4L, 4L, 3L, 5L, 4L,
4L, 5L, 3L, 1L, 5L, 4L, 5L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 2L,
4L, 3L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 2L, 4L, 4L, 3L,
3L, 5L, 5L, 4L, 5L, 1L, 5L, 3L, 1L, 5L, 3L, 4L, 5L, 3L, 5L,
5L, 3L, 3L, 5L, 4L, 4L, 5L, 3L, 1L, 4L, 2L), .Label = c("never",
"rarely", "sometimes", "often", "always"), class = c("ordered",
"factor"), label = "How often does your profession require Internet access?"),
net.pay = structure(c(1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L,
4L, 1L, 4L, 3L, 1L, 4L, 1L, 1L, 5L, 4L, 4L, 4L, 4L, 1L, 1L,
4L, 1L, 5L, 1L, 4L, 1L, 4L, 5L, 5L, 1L, 4L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 3L, 3L, 1L, 4L, 3L, 4L, 4L, 1L, 4L, 4L, 1L, 4L,
4L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 3L, 1L, 5L,
5L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L, 4L,
4L, 4L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 4L, 1L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 3L,
3L, 2L, 1L, 1L, 4L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 4L,
1L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 4L, 3L, 4L, 2L, 1L,
4L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 4L, 5L, 4L, 4L, 1L, 4L, 4L,
4L, 4L, 4L, 4L, 1L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L,
1L, 4L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 4L, 3L, 1L, 4L, 1L,
4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 1L,
4L, 4L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 2L, 1L, 4L, 4L, 5L, 1L,
5L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 4L, 4L, 3L,
4L, 4L, 4L, 1L, 5L, 1L, 4L, 1L, 1L, 3L, 1L, 4L, 4L, 1L, 3L,
4L, 4L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L,
1L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 1L, 4L, 4L, 4L, 1L,
4L, 4L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L,
4L, 4L, 1L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L,
1L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 2L, 1L, 1L, 1L, 4L,
4L, 4L, 1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 4L, 5L, 4L, 4L, 1L,
1L, 4L, 1L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 2L, 4L, 1L, 1L, 4L,
4L, 4L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L,
1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 1L, 1L, 1L, 1L, 3L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 4L,
4L, 1L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 1L,
4L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 1L,
1L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 4L, 3L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 5L,
1L, 4L, 1L, 1L, 1L, 5L, 1L, 3L, 5L, 4L, 4L, 2L, 1L, 2L, 1L,
1L, 1L, 4L, 1L, 2L, 1L, 1L, 2L, 4L, 4L, 1L, 4L, 1L, 4L, 5L,
1L, 5L, 5L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L,
4L, 1L, 1L, 4L, 4L, 4L, 2L, 1L, 4L, 3L, 4L, 4L, 1L, 4L, 4L,
4L, 4L, 1L, 1L, 3L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 3L, 4L, 4L,
1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 3L, 1L, 4L, 1L, 3L, 1L,
1L, 5L, 4L, 1L, 4L, 4L, 3L, 5L, 1L, 3L, 4L, 1L, 4L, 5L, 1L,
4L, 1L, 4L, 4L, 1L, 1L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L, 1L,
4L, 1L, 1L, 1L, 4L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 5L, 1L, 5L,
1L, 4L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 4L, 4L, 4L, 5L, 1L, 2L, 1L, 4L, 1L, 4L, 4L, 4L, 1L, 1L,
5L, 1L, 1L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L,
4L, 4L, 4L, 1L, 2L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 1L, 1L,
1L, 4L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 5L,
4L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 4L, 4L,
1L, 1L, 4L, 1L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 5L,
1L, 1L, 1L, 1L, 4L, 3L, 5L, 4L, 1L, 4L), .Label = c("parents",
"school/faculty", "employer", "self-funded", "other"), class = "factor", label = "Who pays for your Internet access?"),
net.use = structure(c(7L, 7L, 3L, 7L, 2L, 1L, 5L, 7L, 7L,
7L, 4L, 7L, 7L, 7L, 7L, 5L, 4L, 6L, 6L, 6L, 7L, 2L, 7L, 3L,
7L, 6L, 5L, 2L, 6L, 7L, 6L, 4L, 4L, 7L, 7L, 7L, 4L, 5L, 7L,
7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 7L, 3L, 7L, 5L, 7L,
7L, 7L, 4L, 7L, 5L, 3L, 7L, 7L, 7L, 5L, 7L, 7L, 6L, 6L, 6L,
6L, 7L, 7L, 6L, 7L, 2L, 7L, 2L, 7L, 7L, 7L, 7L, 4L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 4L, 7L, 7L, 2L, 6L, 7L,
1L, 7L, 5L, 7L, 7L, 2L, 4L, 3L, 7L, 2L, 7L, 7L, 6L, 7L, 7L,
7L, 1L, 7L, 7L, 7L, 7L, 4L, 2L, 7L, 3L, 7L, 3L, 7L, 7L, 2L,
5L, 3L, 7L, 4L, 7L, 3L, 5L, 7L, 5L, 7L, 1L, 5L, 7L, 4L, 3L,
5L, 5L, 6L, 7L, 5L, 7L, 5L, 7L, 6L, 4L, 5L, 5L, 7L, 3L, 4L,
7L, 4L, 2L, 7L, 2L, 1L, 6L, 7L, 6L, 2L, 5L, 5L, 3L, 6L, 4L,
4L, 7L, 3L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 7L, 4L, 5L, 7L,
3L, 5L, 2L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 1L, 3L, 3L, 7L, 5L,
3L, 5L, 7L, 7L, 7L, 7L, 7L, 6L, 2L, 7L, 1L, 1L, 3L, 7L, 7L,
6L, 7L, 6L, 6L, 7L, 7L, 5L, 2L, 7L, 7L, 2L, 7L, 7L, 2L, 4L,
7L, 7L, 7L, 7L, 7L, 6L, 7L, 7L, 7L, 7L, 2L, 7L, 7L, 7L, 5L,
7L, 3L, 3L, 3L, 6L, 7L, 7L, 5L, 7L, 6L, 4L, 5L, 7L, 7L, 7L,
7L, 7L, 6L, 4L, 3L, 2L, 2L, 3L, 2L, 7L, 4L, 7L, 5L, 6L, 3L,
4L, 5L, 7L, 4L, 4L, 7L, 1L, 7L, 3L, 3L, 4L, 2L, 7L, 6L, 7L,
7L, 3L, 7L, 7L, 7L, 6L, 4L, 7L, 3L, 7L, 1L, 7L, 7L, 7L, 7L,
3L, 5L, 2L, 7L, 3L, 2L, 3L, 5L, 7L, 6L, 7L, 7L, 2L, 7L, 7L,
7L, 6L, 7L, 6L, 7L, 7L, 6L, 7L, 4L, 1L, 7L, 2L, 7L, 7L, 7L,
5L, 5L, 7L, 7L, 4L, 3L, 7L, 7L, 3L, 1L, 2L, 7L, 4L, 5L, 4L,
6L, 7L, 6L, 7L, 6L, 7L, 7L, 3L, 7L, 4L, 4L, 5L, 5L, 3L, 2L,
7L, 7L, 5L, 3L, 4L, 7L, 3L, 7L, 7L, 4L, 5L, 4L, 5L, 5L, 5L,
7L, 5L, 3L, 7L, 5L, 7L, 4L, 4L, 7L, 2L, 6L, 2L, 2L, 2L, 7L,
4L, 6L, 3L, 2L, 7L, 2L, 7L, 7L, 7L, 7L, 7L, 7L, 3L, 7L, 7L,
7L, 7L, 7L, 2L, 7L, 7L, 4L, 7L, 7L, 3L, 7L, 7L, 1L, 7L, 6L,
7L, 7L, 5L, 7L, 7L, 4L, 7L, 5L, 7L, 7L, 6L, 4L, 6L, 7L, 3L,
4L, 7L, 2L, 5L, 4L, 7L, 7L, 1L, 5L, 7L, 7L, 7L, 7L, 7L, 4L,
7L, 7L, 1L, 3L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 6L, 4L, 7L,
3L, 7L, 7L, 6L, 3L, 4L, 4L, 4L, 7L, 7L, 5L, 7L, 7L, 7L, 4L,
7L, 6L, 7L, 5L, 7L, 1L, 6L, 6L, 6L, 7L, 4L, 7L, 4L, 3L, 7L,
5L, 3L, 7L, 7L, 7L, 4L, 7L, 7L, 7L, 6L, 6L, 7L, 7L, 7L, 7L,
7L, 3L, 3L, 6L, 7L, 6L, 3L, 7L, 3L, 7L, 7L, 7L, 7L, 4L, 7L,
7L, 4L, 1L, 7L, 6L, 7L, 6L, 4L, 3L, 7L, 6L, 7L, 4L, 5L, 7L,
7L, 6L, 4L, 7L, 5L, 1L, 5L, 1L, 7L, 6L, 7L, 5L, 7L, 7L, 7L,
7L, 7L, 3L, 6L, 7L, 3L, 5L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L,
7L, 2L, 3L, 3L, 6L, 7L, 7L, 4L, 2L, 5L, 6L, 3L, 2L, 2L, 2L,
3L, 5L, 1L, 2L, 1L, 3L, 7L, 2L, 5L, 3L, 4L, 6L, 6L, 7L, 2L,
2L, 7L, 7L, 7L, 6L, 2L, 7L, 7L, 5L, 5L, 7L, 4L, 4L, 7L, 7L,
3L, 7L, 5L, 4L, 7L, 3L, 5L, 7L, 4L, 4L, 6L, 7L, 4L, 3L, 3L,
7L, 7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 7L, 7L, 5L, 2L, 7L, 6L,
4L, 7L, 7L, 6L, 5L, 4L, 7L, 7L, 7L, 5L, 3L, 7L, 2L, 5L, 4L,
4L, 7L, 5L, 4L, 7L, 7L, 7L, 4L, 3L, 7L, 7L, 4L, 2L, 4L, 5L,
5L, 7L, 4L, 6L, 7L, 3L, 6L, 2L, 4L, 7L, 7L, 3L, 7L, 7L, 7L,
6L, 7L, 7L, 5L, 7L, 7L, 7L, 2L, 7L, 4L), .Label = c("less than 6 months",
"1 years", "2 years", "3 years", "4 years", "5 years", "more than 5 years"
), class = c("ordered", "factor"), label = "How long you've been using Internet?"),
chatim = structure(c(7L, 7L, 6L, 1L, 4L, 6L, 5L, 6L, 2L,
7L, 7L, 6L, 7L, 7L, 5L, 7L, 3L, 7L, 6L, 2L, 7L, 4L, 2L, 5L,
5L, 4L, 7L, 5L, 7L, 4L, 4L, 4L, 4L, 7L, 7L, 7L, 1L, 5L, 4L,
6L, 5L, 7L, 1L, 3L, 6L, 7L, 2L, 7L, 5L, 5L, 4L, 1L, 4L, 5L,
5L, 4L, 3L, 7L, 4L, 1L, 1L, 7L, 2L, 7L, 5L, 4L, 1L, 6L, 5L,
1L, 1L, 2L, 1L, 3L, 2L, 4L, 4L, 3L, 4L, 7L, 2L, 1L, 3L, 5L,
4L, 6L, 7L, 3L, 4L, 7L, 5L, 5L, 5L, 5L, 7L, 5L, 2L, 4L, 5L,
4L, 6L, 6L, 5L, 2L, 4L, 6L, 1L, 7L, 4L, 6L, 4L, 5L, 3L, 4L,
5L, 1L, 1L, 3L, 5L, 6L, 1L, 4L, 7L, 5L, 2L, 5L, 2L, 5L, 5L,
4L, 2L, 3L, 3L, 6L, 5L, 5L, 6L, 4L, 5L, 4L, 5L, 4L, 1L, 1L,
4L, 4L, 1L, 2L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 6L, 5L, 2L, 3L,
7L, 3L, 5L, 2L, 7L, 5L, 5L, 4L, 4L, 6L, 2L, 2L, 4L, 4L, 4L,
4L, 4L, 7L, 4L, 4L, 4L, 5L, 6L, 6L, 7L, 5L, 4L, 4L, 3L, 2L,
4L, 3L, 2L, 5L, 7L, 1L, 7L, 1L, 5L, 5L, 3L, 5L, 2L, 2L, 7L,
1L, 2L, 4L, 7L, 7L, 7L, 2L, 6L, 1L, 2L, 4L, 5L, 4L, 5L, 5L,
3L, 6L, 4L, 2L, 5L, 3L, 7L, 7L, 7L, 2L, 3L, 2L, 3L, 4L, 5L,
4L, 7L, 5L, 6L, 2L, 4L, 5L, 2L, 2L, 6L, 3L, 2L, 5L, 6L, 1L,
6L, 4L, 5L, 3L, 5L, 4L, 5L, 5L, 5L, 4L, 6L, 2L, 3L, 6L, 3L,
2L, 4L, 1L, 5L, 6L, 3L, 4L, 3L, 7L, 6L, 1L, 1L, 4L, 6L, 2L,
3L, 3L, 6L, 3L, 5L, 3L, 7L, 2L, 1L, 3L, 5L, 3L, 4L, 2L, 5L,
7L, 7L, 5L, 6L, 7L, 6L, 7L, 7L, 2L, 3L, 6L, 7L, 6L, 7L, 7L,
7L, 3L, 3L, 4L, 1L, 6L, 7L, 4L, 3L, 2L, 7L, 3L, 6L, 7L, 2L,
2L, 5L, 7L, 6L, 7L, 1L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 2L, 5L,
2L, 3L, 3L, 7L, 4L, 4L, 7L, 6L, 1L, 3L, 6L, 4L, 6L, 6L, 6L,
7L, 4L, 4L, 7L, 5L, 6L, 7L, 7L, 7L, 3L, 3L, 4L, 6L, 5L, 5L,
6L, 1L, 4L, 7L, 4L, 5L, 7L, 5L, 1L, 4L, 4L, 7L, 5L, 5L, 5L,
4L, 6L, 4L, 5L, 1L, 3L, 7L, 2L, 2L, 6L, 1L, 3L, 4L, 4L, 5L,
6L, 5L, 6L, 3L, 7L, 7L, 5L, 6L, 7L, 5L, 5L, 5L, 7L, 2L, 5L,
3L, 5L, 7L, 6L, 6L, 7L, 5L, 5L, 7L, 1L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 6L, 2L, 5L, 6L, 5L, 5L, 6L, 5L, 6L, 7L, 4L, 5L, 4L,
1L, 1L, 5L, 5L, 7L, 1L, 1L, 2L, 4L, 4L, 1L, 4L, 5L, 7L, 6L,
7L, 5L, 2L, 5L, 5L, 2L, 4L, 6L, 2L, 7L, 6L, 4L, 2L, 1L, 7L,
1L, 7L, 1L, 6L, 4L, 4L, 4L, 1L, 5L, 1L, 1L, 5L, 3L, 2L, 4L,
4L, 4L, 7L, 6L, 1L, 5L, 4L, 7L, 1L, 2L, 6L, 5L, 5L, 5L, 6L,
6L, 2L, 3L, 6L, 1L, 4L, 5L, 5L, 7L, 2L, 5L, 1L, 5L, 1L, 5L,
4L, 4L, 6L, 6L, 4L, 3L, 5L, 2L, 2L, 4L, 2L, 7L, 5L, 2L, 4L,
2L, 1L, 7L, 7L, 6L, 2L, 5L, 2L, 5L, 1L, 6L, 1L, 1L, 2L, 2L,
5L, 2L, 6L, 1L, 7L, 6L, 6L, 6L, 1L, 5L, 5L, 2L, 1L, 7L, 3L,
4L, 5L, 4L, 7L, 5L, 4L, 2L, 3L, 5L, 7L, 7L, 4L, 3L, 4L, 7L,
6L, 6L, 5L, 7L, 5L, 7L, 4L, 1L, 4L, 2L, 2L, 4L, 4L, 4L, 3L,
4L, 3L, 3L, 4L, 7L, 7L, 1L, 4L, 3L, 6L, 6L, 4L, 4L, 6L, 5L,
2L, 4L, 5L, 5L, 5L, 7L, 2L, 7L, 5L, 7L, 5L, 3L, 5L, 5L, 6L,
3L, 5L, 4L, 1L, 7L, 5L, 7L, 2L, 5L, 5L, 7L, 1L, 1L, 6L, 7L,
7L, 2L, 5L, 4L, 6L, 7L, 3L, 6L, 7L, 6L, 6L, 4L, 7L, 5L, 1L,
4L, 7L, 6L, 7L, 7L, 3L, 7L, 5L, 5L, 6L, 5L, 7L, 6L, 4L, 4L,
2L, 7L, 7L, 6L, 7L, 5L, 5L, 7L, 7L, 3L, 7L, 2L, 7L, 7L, 4L,
5L, 6L, 7L, 7L, 5L, 7L, 5L, 3L, 4L, 7L, 6L, 4L, 2L, 7L, 7L,
2L, 4L, 6L, 7L, 7L, 7L, 5L, 7L, 7L, 5L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Chat & IM usage"),
game = structure(c(5L, 2L, 5L, 1L, 4L, 1L, 2L, 4L, 1L, 5L,
2L, 6L, 1L, 1L, 7L, 1L, 1L, 5L, 1L, 2L, 1L, 2L, 2L, 3L, 1L,
4L, 6L, 3L, 2L, 2L, 7L, 5L, 5L, 6L, 4L, 5L, 6L, 1L, 1L, 3L,
7L, 3L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 6L, 1L, 1L, 1L, 1L, 3L,
1L, 2L, 2L, 1L, 1L, 2L, 4L, 1L, 1L, 1L, 2L, 1L, 6L, 1L, 1L,
1L, 1L, 2L, 4L, 1L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 6L, 1L, 1L, 5L, 1L, 6L, 1L,
6L, 6L, 2L, 4L, 1L, 2L, 1L, 1L, 6L, 1L, 1L, 4L, 3L, 1L, 1L,
1L, 2L, 2L, 1L, 2L, 1L, 5L, 4L, 3L, 2L, 2L, 1L, 5L, 1L, 6L,
1L, 1L, 1L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 4L,
6L, 1L, 1L, 7L, 2L, 1L, 4L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L,
2L, 5L, 4L, 3L, 1L, 4L, 1L, 6L, 7L, 1L, 1L, 2L, 1L, 4L, 5L,
1L, 1L, 3L, 5L, 1L, 2L, 4L, 1L, 2L, 2L, 5L, 4L, 1L, 1L, 2L,
7L, 2L, 1L, 2L, 1L, 2L, 6L, 3L, 5L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 1L, 6L, 1L, 4L, 1L, 1L, 2L, 1L, 6L, 1L, 5L, 1L, 2L, 2L,
1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 5L, 6L, 1L, 1L, 2L,
1L, 3L, 2L, 1L, 4L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 5L,
1L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 6L, 3L, 4L, 5L, 1L, 6L, 7L,
1L, 2L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 1L, 7L, 5L, 7L, 5L, 7L,
4L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 4L, 1L, 2L,
5L, 7L, 1L, 2L, 2L, 4L, 3L, 7L, 1L, 1L, 4L, 3L, 3L, 7L, 1L,
6L, 7L, 1L, 2L, 7L, 1L, 2L, 7L, 3L, 3L, 1L, 1L, 4L, 1L, 1L,
2L, 2L, 2L, 4L, 1L, 2L, 7L, 1L, 1L, 7L, 2L, 1L, 4L, 5L, 4L,
1L, 5L, 7L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L,
6L, 2L, 4L, 7L, 2L, 1L, 6L, 4L, 6L, 1L, 1L, 1L, 7L, 1L, 6L,
6L, 1L, 4L, 2L, 7L, 1L, 4L, 3L, 3L, 4L, 7L, 4L, 2L, 2L, 1L,
1L, 2L, 5L, 2L, 7L, 7L, 5L, 7L, 3L, 7L, 7L, 7L, 3L, 6L, 2L,
7L, 5L, 1L, 1L, 6L, 3L, 6L, 1L, 1L, 1L, 4L, 1L, 1L, 2L, 4L,
1L, 2L, 2L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 3L,
1L, 2L, 1L, 4L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 2L, 5L, 1L,
1L, 1L, 5L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 1L, 6L, 2L, 1L, 1L, 1L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 7L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 4L,
6L, 4L, 4L, 1L, 2L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 3L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
1L, 2L, 4L, 7L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 6L, 1L, 5L,
5L, 5L, 1L, 1L, 1L, 2L, 2L, 6L, 3L, 1L, 4L, 6L, 1L, 1L, 1L,
6L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 6L, 4L, 1L, 4L, 1L, 3L, 1L, 5L, 2L,
1L, 2L, 6L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 2L, 4L, 2L,
2L, 1L, 2L, 5L, 1L, 2L, 7L, 2L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "On-line games usage"),
surf = structure(c(6L, 7L, 6L, 4L, 3L, 5L, 3L, 7L, 4L, 7L,
7L, 6L, 5L, 7L, 7L, 7L, 6L, 6L, 6L, 5L, 6L, 3L, 5L, 7L, 7L,
6L, 6L, 3L, 7L, 5L, 6L, 3L, 3L, 7L, 6L, 7L, 7L, 4L, 5L, 7L,
4L, 7L, 5L, 2L, 4L, 7L, 7L, 7L, 6L, 7L, 5L, 7L, 7L, 7L, 5L,
4L, 5L, 4L, 1L, 3L, 5L, 5L, 7L, 7L, 5L, 3L, 3L, 6L, 6L, 4L,
7L, 7L, 7L, 7L, 1L, 5L, 4L, 3L, 7L, 4L, 6L, 1L, 6L, 1L, 4L,
7L, 2L, 5L, 5L, 6L, 5L, 6L, 6L, 5L, 6L, 6L, 7L, 5L, 5L, 4L,
5L, 6L, 5L, 5L, 4L, 6L, 6L, 7L, 4L, 7L, 3L, 3L, 4L, 4L, 5L,
3L, 5L, 6L, 7L, 7L, 5L, 5L, 7L, 4L, 5L, 5L, 6L, 3L, 2L, 4L,
5L, 5L, 5L, 7L, 7L, 5L, 4L, 7L, 5L, 3L, 6L, 4L, 6L, 3L, 4L,
5L, 4L, 4L, 5L, 6L, 6L, 4L, 2L, 3L, 4L, 7L, 4L, 6L, 7L, 6L,
4L, 4L, 7L, 7L, 7L, 4L, 4L, 4L, 1L, 7L, 6L, 5L, 7L, 6L, 7L,
6L, 6L, 6L, 5L, 7L, 7L, 6L, 7L, 7L, 3L, 7L, 5L, 5L, 4L, 6L,
6L, 2L, 7L, 4L, 6L, 6L, 7L, 6L, 6L, 4L, 5L, 2L, 5L, 5L, 4L,
5L, 6L, 4L, 7L, 7L, 2L, 7L, 7L, 7L, 5L, 5L, 4L, 5L, 5L, 6L,
6L, 5L, 6L, 4L, 6L, 5L, 6L, 6L, 3L, 4L, 6L, 4L, 4L, 5L, 5L,
7L, 5L, 7L, 5L, 7L, 7L, 4L, 4L, 6L, 4L, 5L, 6L, 5L, 6L, 7L,
3L, 5L, 3L, 4L, 4L, 7L, 5L, 7L, 4L, 6L, 7L, 7L, 5L, 5L, 7L,
5L, 5L, 3L, 6L, 5L, 5L, 5L, 6L, 6L, 2L, 7L, 4L, 5L, 5L, 4L,
5L, 6L, 4L, 3L, 4L, 7L, 3L, 4L, 5L, 3L, 6L, 5L, 7L, 6L, 7L,
7L, 7L, 6L, 5L, 4L, 7L, 7L, 6L, 4L, 4L, 7L, 4L, 7L, 7L, 7L,
6L, 6L, 7L, 7L, 5L, 5L, 6L, 7L, 4L, 5L, 2L, 4L, 7L, 7L, 6L,
4L, 7L, 7L, 5L, 6L, 5L, 7L, 6L, 5L, 4L, 4L, 7L, 7L, 5L, 3L,
6L, 5L, 6L, 6L, 5L, 7L, 6L, 5L, 4L, 2L, 7L, 6L, 7L, 5L, 7L,
6L, 6L, 7L, 3L, 6L, 6L, 7L, 7L, 4L, 5L, 7L, 7L, 4L, 7L, 5L,
5L, 7L, 6L, 7L, 7L, 5L, 5L, 5L, 6L, 5L, 5L, 7L, 7L, 7L, 6L,
6L, 4L, 6L, 4L, 7L, 5L, 6L, 7L, 5L, 6L, 4L, 4L, 5L, 4L, 6L,
6L, 6L, 6L, 7L, 5L, 4L, 7L, 7L, 7L, 5L, 7L, 6L, 7L, 7L, 7L,
5L, 7L, 6L, 7L, 7L, 6L, 5L, 7L, 5L, 7L, 4L, 7L, 7L, 6L, 5L,
4L, 6L, 7L, 7L, 5L, 5L, 7L, 7L, 4L, 6L, 7L, 5L, 5L, 7L, 7L,
5L, 5L, 6L, 4L, 4L, 1L, 2L, 5L, 4L, 4L, 7L, 4L, 2L, 7L, 5L,
5L, 4L, 2L, 6L, 5L, 5L, 7L, 5L, 6L, 5L, 7L, 2L, 1L, 4L, 5L,
4L, 2L, 6L, 2L, 4L, 5L, 6L, 7L, 7L, 7L, 6L, 6L, 5L, 5L, 5L,
5L, 4L, 5L, 5L, 5L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 1L, 6L, 6L,
5L, 6L, 7L, 6L, 3L, 6L, 7L, 7L, 3L, 5L, 5L, 5L, 7L, 7L, 5L,
5L, 3L, 5L, 7L, 6L, 6L, 6L, 4L, 2L, 7L, 6L, 5L, 5L, 7L, 7L,
4L, 7L, 2L, 6L, 7L, 6L, 5L, 4L, 6L, 5L, 4L, 3L, 6L, 5L, 7L,
5L, 6L, 5L, 7L, 5L, 5L, 6L, 6L, 6L, 7L, 6L, 1L, 1L, 7L, 6L,
5L, 4L, 7L, 7L, 2L, 7L, 6L, 7L, 2L, 5L, 5L, 5L, 5L, 6L, 6L,
7L, 1L, 2L, 7L, 5L, 5L, 4L, 3L, 5L, 4L, 6L, 4L, 2L, 4L, 4L,
4L, 4L, 4L, 6L, 7L, 2L, 4L, 7L, 2L, 6L, 7L, 7L, 7L, 1L, 4L,
4L, 7L, 5L, 5L, 5L, 2L, 7L, 7L, 7L, 4L, 4L, 4L, 1L, 4L, 6L,
6L, 5L, 5L, 7L, 1L, 5L, 6L, 3L, 7L, 7L, 6L, 4L, 4L, 7L, 7L,
4L, 5L, 1L, 6L, 4L, 7L, 5L, 7L, 7L, 7L, 5L, 1L, 7L, 5L, 5L,
5L, 4L, 7L, 7L, 7L, 6L, 7L, 4L, 6L, 6L, 7L, 4L, 4L, 4L, 5L,
5L, 6L, 7L, 7L, 5L, 7L, 6L, 7L, 7L, 7L, 6L, 6L, 5L, 1L, 7L,
6L, 6L, 6L, 3L, 7L, 7L, 4L, 4L, 7L, 6L, 6L, 2L, 7L, 7L, 6L,
6L, 6L, 5L, 5L, 7L, 4L, 7L, 6L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Web surfing usage"),
email = structure(c(6L, 7L, 6L, 7L, 4L, 3L, 2L, 5L, 7L, 7L,
7L, 6L, 7L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 7L, 2L, 6L, 7L, 7L,
6L, 7L, 2L, 7L, 6L, 7L, 5L, 5L, 6L, 7L, 5L, 7L, 5L, 7L, 7L,
7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 4L, 4L, 5L, 7L, 4L, 7L, 4L,
5L, 6L, 7L, 5L, 7L, 7L, 7L, 6L, 7L, 7L, 4L, 5L, 6L, 5L, 4L,
7L, 6L, 7L, 7L, 2L, 6L, 1L, 4L, 7L, 7L, 5L, 3L, 7L, 5L, 7L,
7L, 7L, 5L, 3L, 7L, 5L, 7L, 6L, 4L, 6L, 5L, 4L, 5L, 4L, 1L,
4L, 4L, 6L, 4L, 3L, 5L, 4L, 7L, 4L, 7L, 5L, 7L, 7L, 7L, 6L,
1L, 4L, 3L, 5L, 7L, 2L, 5L, 7L, 3L, 4L, 3L, 6L, 2L, 5L, 5L,
6L, 5L, 7L, 7L, 7L, 4L, 4L, 7L, 7L, 5L, 6L, 7L, 4L, 6L, 4L,
5L, 2L, 5L, 6L, 7L, 5L, 7L, 2L, 4L, 6L, 6L, 7L, 3L, 7L, 7L,
4L, 3L, 6L, 5L, 7L, 7L, 7L, 4L, 2L, 6L, 4L, 2L, 5L, 5L, 6L,
6L, 6L, 6L, 5L, 7L, 5L, 6L, 5L, 7L, 4L, 7L, 5L, 5L, 7L, 7L,
4L, 3L, 6L, 3L, 6L, 6L, 4L, 6L, 3L, 2L, 5L, 3L, 5L, 2L, 1L,
4L, 6L, 6L, 5L, 7L, 4L, 5L, 4L, 6L, 4L, 3L, 5L, 3L, 4L, 3L,
6L, 5L, 4L, 1L, 6L, 7L, 6L, 7L, 7L, 4L, 6L, 6L, 4L, 4L, 3L,
7L, 7L, 7L, 3L, 5L, 7L, 1L, 4L, 7L, 2L, 4L, 5L, 5L, 5L, 7L,
7L, 4L, 1L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 5L, 7L, 6L, 5L, 6L,
4L, 7L, 5L, 4L, 3L, 1L, 4L, 7L, 7L, 4L, 7L, 4L, 7L, 5L, 2L,
2L, 5L, 3L, 3L, 2L, 5L, 7L, 2L, 5L, 5L, 3L, 7L, 6L, 2L, 7L,
7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 7L, 4L, 7L, 2L, 5L, 7L, 7L,
6L, 6L, 7L, 7L, 5L, 6L, 7L, 3L, 7L, 7L, 5L, 7L, 6L, 6L, 4L,
5L, 6L, 7L, 5L, 2L, 3L, 7L, 5L, 6L, 4L, 6L, 7L, 7L, 2L, 7L,
4L, 2L, 7L, 5L, 2L, 7L, 6L, 2L, 4L, 7L, 7L, 6L, 7L, 5L, 7L,
7L, 4L, 7L, 3L, 6L, 7L, 7L, 7L, 4L, 3L, 6L, 5L, 1L, 3L, 5L,
3L, 7L, 6L, 4L, 6L, 4L, 2L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 6L,
4L, 4L, 3L, 3L, 7L, 4L, 5L, 4L, 5L, 3L, 3L, 5L, 4L, 7L, 6L,
6L, 7L, 4L, 7L, 6L, 5L, 5L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 5L,
7L, 7L, 6L, 4L, 7L, 4L, 3L, 7L, 3L, 7L, 1L, 4L, 7L, 6L, 7L,
4L, 3L, 7L, 7L, 7L, 6L, 7L, 7L, 5L, 7L, 7L, 4L, 7L, 6L, 6L,
7L, 7L, 5L, 6L, 7L, 7L, 3L, 5L, 7L, 6L, 7L, 5L, 5L, 4L, 2L,
7L, 5L, 5L, 3L, 2L, 3L, 7L, 7L, 7L, 7L, 4L, 3L, 3L, 7L, 4L,
7L, 7L, 6L, 1L, 1L, 5L, 6L, 7L, 7L, 6L, 7L, 7L, 7L, 5L, 7L,
4L, 2L, 5L, 5L, 4L, 7L, 7L, 5L, 7L, 5L, 7L, 5L, 6L, 7L, 6L,
7L, 5L, 7L, 5L, 6L, 6L, 7L, 7L, 6L, 2L, 7L, 7L, 7L, 7L, 5L,
6L, 5L, 6L, 7L, 7L, 5L, 6L, 6L, 7L, 7L, 7L, 7L, 4L, 6L, 5L,
7L, 7L, 7L, 6L, 4L, 7L, 5L, 6L, 7L, 6L, 7L, 2L, 7L, 7L, 6L,
7L, 7L, 7L, 7L, 4L, 7L, 7L, 6L, 7L, 7L, 6L, 6L, 7L, 7L, 7L,
5L, 3L, 7L, 7L, 5L, 6L, 5L, 7L, 7L, 6L, 7L, 5L, 5L, 7L, 7L,
2L, 1L, 5L, 7L, 5L, 5L, 5L, 2L, 4L, 6L, 6L, 4L, 4L, 5L, 5L,
2L, 2L, 3L, 7L, 7L, 7L, 4L, 6L, 7L, 6L, 3L, 3L, 7L, 3L, 5L,
7L, 6L, 7L, 5L, 4L, 7L, 7L, 7L, 7L, 6L, 6L, 4L, 3L, 5L, 4L,
6L, 5L, 4L, 7L, 4L, 7L, 5L, 4L, 3L, 7L, 6L, 2L, 6L, 7L, 7L,
6L, 7L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 6L, 5L, 7L,
7L, 2L, 5L, 7L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 2L, 5L, 4L,
7L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 4L, 2L, 7L,
7L, 7L, 4L, 4L, 7L, 7L, 5L, 4L, 7L, 5L, 4L, 7L, 7L, 7L, 6L,
6L, 7L, 3L, 7L, 7L, 7L, 7L, 5L, 6L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Email usage"),
download = structure(c(6L, 7L, 7L, 4L, 5L, 6L, 5L, 7L, 6L,
7L, 7L, 7L, 3L, 7L, 7L, 7L, 6L, 6L, 6L, 5L, 7L, 6L, 6L, 7L,
4L, 7L, 6L, 2L, 7L, 6L, 5L, 7L, 7L, 7L, 4L, 7L, 4L, 5L, 5L,
7L, 7L, 7L, 6L, 4L, 4L, 7L, 7L, 7L, 6L, 6L, 5L, 7L, 6L, 2L,
7L, 5L, 5L, 7L, 4L, 2L, 5L, 7L, 6L, 7L, 6L, 3L, 2L, 6L, 6L,
4L, 6L, 7L, 7L, 4L, 6L, 5L, 2L, 3L, 5L, 4L, 7L, 2L, 7L, 7L,
6L, 7L, 2L, 6L, 3L, 7L, 5L, 7L, 7L, 6L, 6L, 6L, 7L, 3L, 4L,
5L, 4L, 6L, 7L, 7L, 7L, 6L, 4L, 5L, 6L, 7L, 5L, 7L, 7L, 5L,
6L, 2L, 6L, 5L, 7L, 7L, 2L, 7L, 7L, 7L, 4L, 7L, 6L, 7L, 3L,
5L, 6L, 5L, 6L, 6L, 5L, 5L, 5L, 7L, 6L, 5L, 7L, 7L, 5L, 5L,
5L, 4L, 4L, 1L, 5L, 6L, 7L, 4L, 5L, 4L, 5L, 7L, 4L, 5L, 7L,
6L, 7L, 6L, 6L, 5L, 6L, 6L, 4L, 5L, 7L, 7L, 5L, 7L, 7L, 7L,
6L, 6L, 6L, 7L, 5L, 6L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 6L, 7L, 7L, 7L, 5L, 7L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 3L,
6L, 6L, 6L, 7L, 7L, 7L, 5L, 6L, 7L, 5L, 7L, 5L, 6L, 4L, 5L,
6L, 6L, 6L, 7L, 7L, 6L, 6L, 7L, 7L, 7L, 6L, 5L, 7L, 7L, 7L,
6L, 5L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 7L, 4L, 6L,
5L, 7L, 4L, 3L, 6L, 6L, 7L, 4L, 7L, 5L, 7L, 7L, 7L, 6L, 5L,
6L, 7L, 4L, 5L, 7L, 7L, 7L, 7L, 7L, 3L, 4L, 7L, 6L, 5L, 7L,
7L, 7L, 6L, 6L, 5L, 7L, 5L, 6L, 5L, 6L, 6L, 7L, 7L, 6L, 6L,
7L, 4L, 7L, 5L, 5L, 6L, 7L, 6L, 6L, 7L, 6L, 7L, 6L, 6L, 6L,
7L, 5L, 7L, 7L, 7L, 4L, 6L, 2L, 7L, 5L, 4L, 4L, 6L, 6L, 5L,
4L, 5L, 7L, 4L, 5L, 3L, 5L, 7L, 6L, 5L, 4L, 5L, 7L, 7L, 4L,
7L, 6L, 3L, 7L, 7L, 6L, 5L, 7L, 6L, 5L, 4L, 6L, 6L, 6L, 5L,
5L, 5L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 5L, 7L, 7L, 5L, 1L, 7L,
5L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 5L, 7L, 3L, 6L, 4L, 4L, 4L,
5L, 4L, 5L, 7L, 7L, 7L, 3L, 5L, 7L, 6L, 7L, 7L, 7L, 7L, 7L,
6L, 7L, 7L, 7L, 6L, 7L, 4L, 7L, 7L, 7L, 3L, 6L, 6L, 7L, 7L,
7L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L, 6L, 7L, 4L, 7L, 7L, 7L,
6L, 3L, 6L, 6L, 7L, 4L, 6L, 5L, 4L, 5L, 7L, 7L, 4L, 3L, 6L,
6L, 5L, 7L, 4L, 6L, 5L, 2L, 3L, 7L, 4L, 1L, 7L, 4L, 3L, 7L,
4L, 6L, 6L, 5L, 7L, 3L, 5L, 7L, 7L, 7L, 4L, 6L, 5L, 1L, 7L,
5L, 7L, 2L, 5L, 1L, 4L, 5L, 4L, 5L, 7L, 4L, 7L, 6L, 3L, 6L,
2L, 5L, 2L, 5L, 2L, 3L, 7L, 6L, 6L, 5L, 6L, 6L, 5L, 4L, 6L,
3L, 7L, 7L, 7L, 4L, 6L, 6L, 5L, 4L, 4L, 6L, 7L, 6L, 4L, 7L,
2L, 6L, 5L, 6L, 4L, 6L, 5L, 6L, 2L, 4L, 6L, 6L, 6L, 6L, 4L,
6L, 2L, 7L, 4L, 6L, 6L, 7L, 2L, 4L, 6L, 5L, 2L, 2L, 2L, 4L,
5L, 6L, 6L, 4L, 7L, 5L, 3L, 1L, 7L, 6L, 7L, 1L, 6L, 7L, 6L,
7L, 1L, 7L, 7L, 6L, 3L, 7L, 5L, 6L, 7L, 6L, 6L, 4L, 4L, 6L,
6L, 5L, 1L, 3L, 5L, 6L, 4L, 4L, 5L, 1L, 6L, 2L, 2L, 6L, 4L,
5L, 7L, 1L, 2L, 3L, 7L, 5L, 4L, 7L, 6L, 4L, 6L, 6L, 7L, 6L,
2L, 4L, 7L, 5L, 7L, 5L, 7L, 7L, 7L, 5L, 5L, 4L, 4L, 4L, 5L,
4L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 6L, 7L, 7L, 4L, 2L, 3L, 7L,
7L, 4L, 6L, 4L, 2L, 5L, 6L, 5L, 7L, 5L, 7L, 5L, 2L, 6L, 5L,
6L, 7L, 6L, 7L, 4L, 5L, 4L, 5L, 4L, 6L, 7L, 7L, 4L, 6L, 3L,
6L, 7L, 5L, 7L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L,
7L, 7L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L, 6L, 3L, 5L, 7L, 7L,
6L, 5L, 5L, 7L, 5L, 7L, 3L, 7L, 5L, 5L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Download usage"),
forum = structure(c(5L, 5L, 4L, 1L, 3L, 5L, 2L, 5L, 4L, 7L,
3L, 6L, 2L, 6L, 5L, 7L, 1L, 5L, 3L, 3L, 6L, 1L, 5L, 7L, 5L,
7L, 4L, 3L, 6L, 5L, 7L, 7L, 7L, 7L, 6L, 4L, 7L, 5L, 4L, 6L,
7L, 5L, 6L, 3L, 5L, 7L, 6L, 5L, 6L, 7L, 6L, 6L, 5L, 6L, 3L,
1L, 6L, 7L, 5L, 6L, 4L, 6L, 3L, 7L, 6L, 3L, 6L, 4L, 7L, 5L,
1L, 6L, 7L, 3L, 6L, 6L, 4L, 3L, 7L, 4L, 4L, 5L, 4L, 1L, 6L,
2L, 5L, 5L, 6L, 4L, 2L, 7L, 6L, 2L, 6L, 6L, 7L, 7L, 4L, 4L,
6L, 6L, 6L, 1L, 3L, 6L, 6L, 6L, 3L, 7L, 2L, 7L, 2L, 4L, 4L,
1L, 3L, 4L, 5L, 6L, 6L, 6L, 7L, 7L, 6L, 4L, 6L, 3L, 1L, 2L,
7L, 4L, 2L, 1L, 7L, 4L, 5L, 2L, 4L, 1L, 5L, 7L, 1L, 1L, 5L,
1L, 5L, 1L, 2L, 4L, 5L, 3L, 4L, 4L, 1L, 4L, 2L, 1L, 2L, 6L,
2L, 1L, 6L, 6L, 6L, 2L, 4L, 3L, 5L, 5L, 4L, 4L, 6L, 3L, 7L,
4L, 3L, 5L, 5L, 3L, 1L, 2L, 5L, 4L, 4L, 7L, 5L, 5L, 1L, 4L,
2L, 1L, 7L, 5L, 5L, 6L, 3L, 5L, 5L, 1L, 3L, 2L, 1L, 7L, 1L,
2L, 6L, 2L, 7L, 7L, 5L, 7L, 4L, 3L, 3L, 2L, 6L, 5L, 4L, 6L,
2L, 3L, 5L, 4L, 5L, 6L, 5L, 4L, 5L, 1L, 5L, 1L, 1L, 2L, 2L,
7L, 3L, 6L, 1L, 2L, 3L, 1L, 5L, 2L, 5L, 5L, 4L, 5L, 6L, 6L,
2L, 1L, 6L, 5L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 3L, 2L, 2L, 3L,
6L, 4L, 3L, 6L, 4L, 2L, 5L, 4L, 2L, 4L, 4L, 4L, 3L, 4L, 4L,
1L, 5L, 2L, 1L, 1L, 5L, 1L, 1L, 5L, 7L, 7L, 2L, 4L, 1L, 7L,
4L, 6L, 4L, 4L, 5L, 7L, 6L, 5L, 7L, 6L, 7L, 3L, 7L, 6L, 6L,
6L, 4L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 7L, 6L,
5L, 7L, 4L, 7L, 7L, 7L, 7L, 6L, 5L, 5L, 7L, 7L, 7L, 6L, 6L,
5L, 3L, 6L, 6L, 5L, 4L, 6L, 5L, 7L, 2L, 4L, 1L, 6L, 5L, 5L,
4L, 7L, 5L, 5L, 4L, 2L, 5L, 5L, 3L, 4L, 4L, 2L, 1L, 2L, 6L,
6L, 5L, 5L, 3L, 5L, 2L, 6L, 3L, 6L, 4L, 4L, 6L, 6L, 6L, 4L,
6L, 7L, 6L, 1L, 6L, 5L, 7L, 7L, 2L, 6L, 3L, 5L, 3L, 5L, 6L,
5L, 2L, 6L, 7L, 2L, 3L, 6L, 5L, 6L, 5L, 4L, 7L, 7L, 6L, 7L,
5L, 4L, 6L, 7L, 7L, 6L, 6L, 7L, 6L, 7L, 4L, 6L, 4L, 7L, 3L,
5L, 4L, 4L, 1L, 3L, 2L, 2L, 3L, 1L, 1L, 5L, 1L, 3L, 4L, 4L,
2L, 5L, 2L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 7L, 4L, 2L, 7L, 4L,
3L, 2L, 1L, 4L, 3L, 7L, 7L, 4L, 6L, 7L, 4L, 3L, 4L, 5L, 1L,
5L, 2L, 6L, 1L, 4L, 2L, 6L, 3L, 6L, 4L, 4L, 4L, 7L, 4L, 6L,
5L, 7L, 4L, 5L, 5L, 5L, 6L, 4L, 6L, 6L, 6L, 7L, 2L, 1L, 4L,
6L, 6L, 4L, 3L, 1L, 4L, 4L, 2L, 5L, 7L, 4L, 4L, 6L, 1L, 4L,
4L, 2L, 5L, 4L, 6L, 6L, 6L, 6L, 7L, 1L, 2L, 1L, 4L, 2L, 5L,
6L, 1L, 1L, 3L, 2L, 2L, 4L, 1L, 1L, 5L, 2L, 5L, 1L, 2L, 6L,
1L, 2L, 5L, 5L, 5L, 2L, 3L, 2L, 4L, 4L, 2L, 6L, 3L, 1L, 2L,
2L, 7L, 4L, 6L, 5L, 7L, 5L, 6L, 7L, 1L, 3L, 4L, 2L, 3L, 5L,
5L, 1L, 3L, 2L, 2L, 1L, 3L, 2L, 1L, 4L, 3L, 2L, 1L, 3L, 5L,
6L, 1L, 4L, 1L, 4L, 4L, 4L, 5L, 4L, 2L, 4L, 4L, 1L, 1L, 1L,
1L, 5L, 5L, 5L, 3L, 7L, 1L, 3L, 2L, 2L, 5L, 4L, 3L, 7L, 3L,
6L, 2L, 4L, 2L, 5L, 1L, 1L, 3L, 7L, 4L, 4L, 6L, 2L, 4L, 3L,
2L, 4L, 6L, 6L, 7L, 3L, 4L, 6L, 6L, 7L, 6L, 2L, 5L, 7L, 5L,
7L, 6L, 7L, 2L, 3L, 3L, 4L, 6L, 5L, 4L, 4L, 1L, 6L, 2L, 7L,
4L, 4L, 1L, 4L, 4L, 3L, 2L, 7L, 6L, 4L, 7L, 3L, 3L, 2L, 3L,
7L, 7L, 7L, 7L, 4L, 4L, 4L, 4L, 2L, 6L, 5L, 7L, 7L, 7L, 6L,
5L, 3L, 2L, 3L, 6L, 2L, 4L, 3L, 1L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Web forums usage"),
socnet = structure(c(6L, 4L, 4L, 1L, 1L, 3L, 2L, 3L, 6L,
4L, 1L, 1L, 2L, 6L, 2L, 2L, 1L, 4L, 2L, 5L, 2L, 2L, 6L, 5L,
2L, 5L, 5L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 1L, 2L, 2L,
1L, 3L, 3L, 1L, 2L, 3L, 4L, 1L, 7L, 6L, 2L, 4L, 3L, 3L, 6L,
2L, 2L, 4L, 4L, 1L, 1L, 1L, 5L, 5L, 5L, 4L, 2L, 1L, 4L, 7L,
5L, 4L, 2L, 4L, 4L, 4L, 2L, 1L, 2L, 1L, 6L, 1L, 1L, 1L, 4L,
6L, 1L, 1L, 6L, 4L, 5L, 1L, 1L, 4L, 4L, 4L, 2L, 1L, 4L, 1L,
1L, 2L, 6L, 1L, 4L, 7L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 6L, 4L,
1L, 1L, 1L, 2L, 7L, 4L, 1L, 4L, 1L, 5L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 1L, 2L, 5L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
2L, 1L, 4L, 7L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 6L,
5L, 1L, 5L, 2L, 2L, 5L, 1L, 4L, 4L, 1L, 2L, 1L, 1L, 1L, 1L,
6L, 3L, 1L, 1L, 4L, 1L, 1L, 6L, 5L, 1L, 5L, 5L, 5L, 1L, 2L,
2L, 1L, 2L, 7L, 4L, 2L, 5L, 1L, 1L, 1L, 1L, 6L, 1L, 1L, 2L,
1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 4L, 2L, 7L, 4L, 4L, 2L,
3L, 5L, 5L, 1L, 2L, 4L, 5L, 2L, 6L, 1L, 1L, 2L, 3L, 4L, 2L,
3L, 4L, 5L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 5L, 5L, 2L,
6L, 2L, 1L, 1L, 4L, 2L, 1L, 5L, 1L, 4L, 7L, 5L, 1L, 1L, 1L,
1L, 6L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 6L, 1L, 1L, 1L, 4L, 4L,
1L, 5L, 2L, 1L, 1L, 1L, 5L, 1L, 1L, 5L, 3L, 1L, 2L, 2L, 1L,
7L, 6L, 1L, 2L, 5L, 6L, 1L, 5L, 3L, 6L, 7L, 6L, 2L, 1L, 6L,
4L, 6L, 1L, 2L, 7L, 2L, 2L, 1L, 1L, 2L, 7L, 1L, 4L, 7L, 3L,
5L, 3L, 7L, 6L, 6L, 1L, 1L, 6L, 6L, 6L, 4L, 1L, 2L, 4L, 1L,
3L, 1L, 5L, 4L, 6L, 2L, 4L, 6L, 1L, 5L, 6L, 2L, 6L, 3L, 5L,
5L, 6L, 7L, 6L, 1L, 4L, 7L, 5L, 2L, 1L, 1L, 5L, 7L, 1L, 6L,
4L, 1L, 3L, 6L, 2L, 4L, 6L, 1L, 3L, 6L, 7L, 2L, 3L, 3L, 3L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 2L, 4L, 2L,
6L, 3L, 2L, 4L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 3L, 6L, 2L, 6L,
5L, 5L, 7L, 6L, 1L, 7L, 1L, 2L, 4L, 2L, 7L, 2L, 7L, 3L, 7L,
7L, 6L, 1L, 1L, 3L, 3L, 3L, 6L, 4L, 1L, 4L, 6L, 5L, 4L, 1L,
3L, 1L, 4L, 2L, 5L, 1L, 2L, 1L, 2L, 2L, 5L, 7L, 5L, 3L, 7L,
6L, 2L, 1L, 4L, 3L, 4L, 7L, 1L, 1L, 6L, 4L, 4L, 1L, 2L, 1L,
1L, 1L, 1L, 5L, 1L, 4L, 2L, 2L, 7L, 2L, 1L, 4L, 5L, 1L, 6L,
1L, 2L, 4L, 3L, 1L, 4L, 4L, 2L, 1L, 1L, 6L, 2L, 1L, 1L, 6L,
5L, 2L, 7L, 6L, 1L, 7L, 7L, 5L, 7L, 3L, 1L, 2L, 7L, 1L, 5L,
1L, 6L, 2L, 7L, 2L, 6L, 5L, 5L, 1L, 1L, 2L, 1L, 3L, 4L, 2L,
7L, 6L, 7L, 2L, 5L, 7L, 2L, 7L, 5L, 1L, 3L, 1L, 3L, 5L, 1L,
1L, 5L, 6L, 5L, 7L, 6L, 5L, 7L, 1L, 5L, 5L, 1L, 2L, 1L, 3L,
2L, 2L, 1L, 3L, 6L, 1L, 1L, 5L, 6L, 3L, 6L, 4L, 4L, 6L, 7L,
6L, 7L, 1L, 4L, 7L, 4L, 2L, 3L, 6L, 1L, 3L, 3L, 5L, 1L, 5L,
4L, 4L, 4L, 1L, 7L, 7L, 1L, 4L, 6L, 2L, 2L, 1L, 1L, 5L, 5L,
1L, 1L, 4L, 5L, 3L, 5L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 6L, 7L,
6L, 6L, 5L, 1L, 7L, 2L, 7L, 5L, 5L, 7L, 4L, 3L, 2L, 6L, 7L,
1L, 1L, 2L, 6L, 4L, 7L, 6L, 6L, 1L, 6L, 7L, 1L, 1L, 7L, 1L,
5L, 7L, 2L, 5L, 6L, 6L, 6L, 5L, 5L, 5L, 7L, 7L, 6L, 7L, 4L,
1L, 7L, 6L, 7L, 5L, 1L, 5L, 6L, 7L, 1L, 1L, 6L, 2L, 3L, 1L,
1L, 6L, 6L, 6L, 5L, 3L, 7L, 1L, 2L, 7L, 4L, 5L, 7L, 7L, 7L,
5L, 5L, 6L, 2L, 2L, 7L, 7L, 4L, 7L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Social networks usage"),
xxx = structure(c(3L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 3L, 3L,
2L, 4L, 1L, 4L, 3L, 5L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L,
5L, 4L, 2L, 4L, 4L, 4L, 5L, 5L, 4L, 2L, 4L, 3L, 1L, 4L, 4L,
5L, 5L, 3L, 2L, 2L, 2L, 4L, 7L, 4L, 4L, 4L, 4L, 4L, 2L, 1L,
2L, 4L, 6L, 1L, 1L, 1L, 4L, 5L, 3L, 3L, 2L, 1L, 2L, 1L, 2L,
1L, 2L, 4L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 5L, 1L, 4L, 1L, 1L,
1L, 1L, 2L, 4L, 4L, 2L, 4L, 3L, 4L, 5L, 1L, 3L, 4L, 1L, 1L,
2L, 4L, 3L, 4L, 1L, 2L, 1L, 1L, 4L, 4L, 4L, 4L, 6L, 2L, 3L,
1L, 5L, 2L, 1L, 4L, 4L, 6L, 4L, 4L, 2L, 4L, 1L, 2L, 7L, 2L,
5L, 2L, 2L, 3L, 4L, 4L, 1L, 1L, 4L, 3L, 2L, 2L, 1L, 1L, 3L,
3L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 5L, 3L, 4L,
6L, 1L, 1L, 5L, 5L, 1L, 1L, 5L, 1L, 7L, 5L, 2L, 2L, 4L, 7L,
1L, 1L, 2L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 4L, 1L, 4L, 4L, 2L,
4L, 3L, 4L, 1L, 1L, 6L, 1L, 2L, 5L, 4L, 4L, 1L, 5L, 4L, 3L,
4L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 5L, 4L, 2L, 5L, 2L,
4L, 4L, 4L, 2L, 4L, 4L, 2L, 2L, 6L, 4L, 5L, 4L, 3L, 1L, 2L,
7L, 3L, 4L, 1L, 6L, 1L, 2L, 4L, 1L, 5L, 2L, 5L, 2L, 4L, 1L,
2L, 2L, 4L, 3L, 1L, 1L, 3L, 7L, 4L, 3L, 6L, 1L, 4L, 4L, 5L,
6L, 1L, 1L, 1L, 5L, 2L, 2L, 1L, 2L, 4L, 4L, 4L, 1L, 3L, 2L,
4L, 2L, 1L, 1L, 2L, 4L, 4L, 4L, 5L, 3L, 1L, 3L, 2L, 1L, 7L,
5L, 5L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 4L, 7L, 4L, 6L,
5L, 3L, 1L, 2L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 5L, 4L, 1L, 4L,
4L, 1L, 4L, 4L, 1L, 4L, 4L, 6L, 4L, 3L, 1L, 2L, 4L, 6L, 4L,
2L, 2L, 1L, 2L, 4L, 2L, 4L, 6L, 3L, 4L, 4L, 6L, 2L, 1L, 3L,
6L, 1L, 3L, 2L, 5L, 4L, 4L, 5L, 2L, 4L, 3L, 7L, 1L, 2L, 5L,
4L, 4L, 6L, 1L, 6L, 3L, 2L, 1L, 6L, 5L, 2L, 5L, 5L, 5L, 1L,
5L, 3L, 6L, 6L, 6L, 2L, 5L, 6L, 6L, 7L, 7L, 3L, 3L, 7L, 6L,
4L, 7L, 5L, 5L, 2L, 2L, 4L, 3L, 7L, 4L, 4L, 1L, 6L, 4L, 7L,
5L, 4L, 6L, 4L, 5L, 4L, 4L, 7L, 5L, 7L, 2L, 6L, 7L, 6L, 4L,
4L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L,
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 7L, 4L,
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 1L, 5L, 2L, 1L, 5L, 1L, 2L, 2L, 2L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L,
1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 2L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
1L, 1L, 4L, 1L, 1L, 1L, 5L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 4L,
1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L,
2L, 2L, 1L, 2L, 1L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 1L, 1L, 1L, 1L, 2L, 4L, 2L, 2L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Adult sites usage")), .Names = c("gender",
"age", "dwell", "student", "partner", "edu", "leisure", "net.required",
"net.pay", "net.use", "chatim", "game", "surf", "email", "download",
"forum", "socnet", "xxx"), row.names = c(NA, 709L), class = "data.frame")
## add some random noise
set.seed(0)
ind <- matrix(sample(c(TRUE, FALSE), prod(dim(ius2008)), replace = TRUE, prob = c(.05, .95)), nrow = nrow(ius2008), ncol = ncol(ius2008))
ius2008[ind] <- NA
rm(ind)
Rapporter/rapport documentation built on April 14, 2021, 11:48 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
ius2008 <- structure(list(gender = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("male",
"female"), class = "factor", label = "Gender"), age = structure(c(19L,
48L, 20L, 46L, 24L, 22L, 20L, 23L, 24L, 24L, 22L, 45L, 23L, 21L,
32L, 22L, 23L, 22L, 29L, 50L, 23L, 20L, 22L, 17L, 22L, 20L, 19L,
16L, 28L, 21L, 21L, 21L, 21L, 24L, 31L, 20L, 18L, 25L, 22L, 21L,
18L, 26L, 45L, 43L, 22L, 26L, 23L, 21L, 22L, 19L, 25L, 24L, 20L,
23L, 37L, 21L, 23L, 29L, 31L, 28L, 30L, 26L, 18L, 26L, 37L, 25L,
44L, 17L, 21L, 27L, 30L, 21L, 21L, 48L, 21L, 30L, 22L, 25L, 19L,
22L, 19L, 20L, 30L, 58L, 32L, 31L, 31L, 20L, 20L, 19L, 54L, 18L,
28L, 18L, 19L, 19L, 17L, 24L, 19L, 20L, 28L, 16L, 20L, 24L, 26L,
18L, 31L, 24L, 20L, 18L, 21L, 29L, 22L, 48L, 25L, 20L, 20L, 20L,
49L, 26L, 20L, 16L, 21L, 18L, 19L, 18L, 21L, 17L, 25L, 22L, 24L,
21L, 24L, 24L, 19L, 23L, 22L, 20L, 25L, 22L, 30L, 37L, 22L, 27L,
20L, 53L, 20L, 25L, 25L, 24L, 20L, 26L, 20L, 23L, 52L, 21L, 27L,
24L, 24L, 25L, 21L, 18L, 23L, 17L, 22L, 25L, 25L, 27L, 21L, 25L,
34L, 19L, 22L, 21L, 22L, 30L, 23L, 24L, 21L, 23L, 26L, 22L, 21L,
24L, 21L, 28L, 24L, 26L, 24L, 30L, 24L, 27L, 23L, 18L, 23L, 17L,
33L, 23L, 20L, 20L, 20L, 22L, 32L, 18L, 20L, 28L, 21L, 20L, 16L,
29L, 24L, 18L, 25L, 28L, 21L, 23L, 23L, 19L, 28L, 20L, 22L, 31L,
20L, 16L, 29L, 22L, 17L, 23L, 31L, 17L, 35L, 33L, 23L, 31L, 25L,
26L, 26L, 26L, 43L, 20L, 23L, 22L, 24L, 27L, 21L, 24L, 25L, 20L,
28L, 30L, 33L, 18L, 17L, 22L, 32L, 19L, 21L, 24L, 21L, 20L, 22L,
28L, 34L, 23L, 22L, 23L, 20L, 37L, 16L, 21L, 24L, 19L, 21L, 20L,
22L, 36L, 33L, 26L, 21L, 19L, 24L, 30L, 22L, 16L, 24L, 22L, 38L,
19L, 41L, 18L, 18L, 19L, 20L, 28L, 23L, 23L, 23L, 31L, 29L, 19L,
23L, 25L, 21L, 21L, 18L, 21L, 25L, 17L, 24L, 19L, 30L, 21L, 23L,
27L, 17L, 33L, 22L, 21L, 32L, 26L, 27L, 18L, 19L, 33L, 33L, 29L,
19L, 19L, 21L, 21L, 17L, 24L, 16L, 17L, 28L, 23L, 28L, 50L, 16L,
18L, 22L, 21L, 22L, 16L, 18L, 23L, 22L, 31L, 19L, 20L, 44L, 27L,
17L, 28L, 24L, 25L, 20L, 22L, 24L, 25L, 20L, 18L, 29L, 26L, 23L,
24L, 35L, 19L, 22L, 24L, 24L, 27L, 17L, 24L, 23L, 17L, 22L, 22L,
25L, 27L, 22L, 26L, 26L, 26L, 24L, 21L, 45L, 18L, 25L, 29L, 31L,
36L, 20L, 22L, 28L, 18L, 18L, 24L, 24L, 20L, 17L, 23L, 21L, 26L,
17L, 33L, 29L, 34L, 42L, 20L, 32L, 16L, 24L, 29L, 37L, 23L, 24L,
22L, 25L, 40L, 17L, 16L, 25L, 33L, 18L, 17L, 18L, 29L, 23L, 24L,
21L, 18L, 43L, 30L, 22L, 25L, 24L, 25L, 38L, 22L, 19L, 22L, 22L,
27L, 26L, 22L, 25L, 23L, 20L, 50L, 46L, 41L, 21L, 28L, 22L, 26L,
42L, 16L, 20L, 17L, 26L, 26L, 18L, 24L, 29L, 20L, 26L, 29L, 25L,
20L, 20L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 20L, 20L, 20L,
28L, 29L, 20L, 23L, 21L, 33L, 24L, 26L, 28L, 22L, 22L, 33L, 17L,
26L, 37L, 30L, 23L, 20L, 36L, 25L, 20L, 23L, 21L, 17L, 20L, 29L,
30L, 21L, 20L, 26L, 25L, 21L, 33L, 38L, 25L, 29L, 22L, 38L, 27L,
19L, 21L, 31L, 24L, 19L, 28L, 21L, 45L, 23L, 27L, 32L, 26L, 56L,
20L, 24L, 25L, 18L, 26L, 24L, 22L, 23L, 30L, 44L, 18L, 50L, 21L,
27L, 20L, 22L, 20L, 23L, 20L, 24L, 24L, 25L, 20L, 23L, 25L, 24L,
21L, 30L, 22L, 25L, 22L, 19L, 23L, 26L, 20L, 21L, 22L, 26L, 24L,
23L, 16L, 24L, 23L, 26L, 26L, 26L, 18L, 16L, 16L, 26L, 26L, 21L,
20L, 20L, 20L, 19L, 19L, 20L, 19L, 20L, 20L, 18L, 20L, 22L, 19L,
21L, 21L, 22L, 21L, 22L, 21L, 19L, 19L, 26L, 28L, 25L, 27L, 25L,
34L, 28L, 20L, 20L, 23L, 27L, 24L, 26L, 37L, 43L, 22L, 19L, 25L,
21L, 25L, 39L, 27L, 24L, 21L, 24L, 21L, 16L, 20L, 25L, 28L, 23L,
21L, 29L, 52L, 48L, 27L, 23L, 19L, 22L, 16L, 26L, 23L, 24L, 32L,
23L, 21L, 25L, 21L, 31L, 50L, 19L, 28L, 21L, 19L, 22L, 27L, 24L,
21L, 27L, 24L, 16L, 24L, 24L, 23L, 22L, 22L, 22L, 32L, 25L, 24L,
21L, 29L, 24L, 21L, 18L, 33L, 35L, 21L, 21L, 23L, 20L, 28L, 22L,
26L, 34L, 21L, 24L, 18L, 19L, 21L, 21L, 23L, 20L, 22L, 27L, 17L,
40L, 29L, 23L, 27L, 20L, 26L), label = "Age"), dwell = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L,
2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 2L, 1L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 3L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L,
1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L), .Label = c("city", "small town", "village"), class = "factor", label = "Dwelling"),
student = structure(c(2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L,
1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L,
2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L,
1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L,
1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L,
2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L,
1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L,
2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L,
1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L,
1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L,
1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L), .Label = c("no",
"yes"), class = "factor", label = "Student"), partner = structure(c(3L,
3L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 2L, 3L, 3L, 1L, 3L,
1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 3L,
3L, 3L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 3L,
1L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L,
1L, 3L, 1L, 3L, 1L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 1L, 3L, 3L,
1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L,
1L, 3L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 3L, 3L, 2L, 2L, 1L,
3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 1L, 3L,
1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 2L, 3L, 1L, 3L, 3L, 1L, 1L,
3L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L,
1L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 3L,
2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 1L,
3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 3L,
1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L,
1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L,
3L, 3L, 1L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 1L,
1L, 1L, 3L, 1L, 2L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 3L, 3L,
2L, 1L, 3L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 2L,
3L, 1L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 3L, 3L, 3L, 3L, 3L,
1L, 3L, 3L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L,
3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 3L, 2L, 3L, 3L, 1L, 3L,
3L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L,
3L, 3L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 3L, 3L,
3L, 1L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 1L, 1L,
1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 2L, 2L,
3L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L,
1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
3L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L,
1L, 1L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L,
1L, 3L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 1L,
3L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L,
2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 3L,
1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 1L,
1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L,
3L, 1L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 2L, 1L, 3L, 1L,
3L, 3L, 3L, 1L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 1L, 3L, 3L, 1L,
3L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 3L, 1L, 1L,
3L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 1L,
1L, 1L, 2L, 3L, 1L, 3L, 2L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 3L,
1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L,
1L, 1L, 1L), .Label = c("in a relationship", "married", "single"
), class = "factor", label = "Relationship status"), edu = structure(c(2,
8, 1.5, 1, 1, 0.5, 0, 1.5, 1, 5, 1, 4, 10, 2, 1, 0.5, 2,
5, 1, 3, 6, 1, 4, 1, 4, 2, 3, 0.5, 4, 0.5, 1, 1, 1, 5, 9,
1, 1, 1.5, 1, 1, 0.5, 0.5, 4, 3, 1, 5, 5, 1, 0.5, 3, 2, 5,
1, 8, 3, 0.5, 5, 4, 5, 0.5, 1, 2, 0.5, 1, 3, 0.5, 4, 0.5,
1, 0.5, 2, 1, 3, 3, 2, 0.5, 0, 0.5, 1, 1, 1.5, 0.5, 0.5,
8, 2, 8, 3, 2, 1, 1, 1.5, 0.5, 4, 1, 2, 0.5, 3.5, 1, 0.5,
1, 2.5, 2, 2, 2, 0, 0.5, 1.5, 8, 0, 4.5, 4, 8, 1.5, 2, 4,
0.5, 0, 0.5, 1, 3, 0.5, 0, 8, 1, 0.5, 1, 0.5, 1, 0, 1, 7,
1, 1, 5, 2.5, 2.5, 4, 3, 2.5, 1.5, 4, 6, 0.5, 2.5, 2, 1,
0, 0, 2, 2, 2, 0.5, 1, 1, 1, 1, 1, 0, 1, 3, 2, 1, 3, 0.5,
2.5, 5, 5, 0, 5, 4, 0.5, 1, 0.5, 0.5, 2, 1, 3, 2, 1, 1, 2,
0.5, 1, 8, 0.5, 0.5, 1, 0.5, 2, 2, 0.5, 1, 1, 0, 1, 1, 3,
2, 3, 1, 1, 0, 0, 2, 0, 1, 1, 4, 0.5, 8, 1, 2, 0, 5, 3, 1,
2, 0.5, 1, 1, 0, 0.5, 0.5, 0, 0.5, 1, 3, 2, 2, 0, 0.5, 1,
2, 1, 2, 0, 4, 3, 2, 2, 3, 1, 0, 8, 2, 1, 4, 1, 2, 9, 3,
1, 1, 1, 2, 0.5, 1, 0.5, 0.5, 1, 0, 1, 3, 2, 1, 2, 1, 1,
3, 0, 2, 0.5, 10, 3, 0.5, 3, 0, 0.5, 0.5, 2, 1.5, 2, 0.5,
0.5, 2, 3, 1, 1, 1, 2, 1.5, 1, 2, 6, 6, 8, 0.5, 3, 12, 0.5,
5, 8, 1, 4, 0, 1, 8, 2, 8, 1, 4, 4, 3, 1, 1.5, 1, 0.5, 1,
1, 1, 1, 3, 0.5, 5, 1, 2, 2, 2, 1, 1, 0.5, 6, 1, 2, 1, 0,
1, 3, 0.5, 1, 3, 1, 12, 1, 1.5, 1, 3, 0, 0.5, 1, 8, 5, 2,
1.5, 6, 8, 1, 8, 3, 1, 4, 2.5, 2, 1, 0, 0, 5.5, 2.5, 1, 1,
1.5, 0, 1, 0, 1, 0.5, 1, 3, 2, 0, 2, 3, 3, 3, 1, 1, 8, 1,
0, 8, 0, 1, 3, 0, 5, 2, 4, 0, 8, 1, 0.5, 4, 2, 1, 2.5, 2,
1, 0.5, 12, 6, 4, 2, 4, 4.5, 3, 0.5, 0.5, 0, 4, 8, 3, 5,
8, 1, 3, 5, 0, 2, 3, 2, 6, 1, 1, 5, 2, 1, 0.5, 1, 1, 2.5,
1, 1, 1, 1, 2, 0.5, 2, 4, 1, 3, 2, 0.5, 2, 1, 1, 1, 2, 1,
1, 0.5, 1, 1.5, 0.5, 2, 0.5, 1, 5, 0, 4, 2, 0.5, 0.5, 1,
1, 1, 1, 2, 0.5, 1, 1, 1, 1, 3.5, 2, 1, 3, 2, 1, 0.5, 1,
0.5, 0, 2, 1, 2, 4, 1, 1, 2, 0.5, 1, 2.5, 1.5, 2, 1, 0.5,
1, 2, 2, 1, 2, 1, 6, 1.5, 6, 1, 1, 1.5, 1, 2, 3, 0.5, 1,
3, 4, 2, 5, 1, 3, 3, 1, 1.5, 2.5, 5, 1.5, 5, 2, 3, 5, 1,
1.5, 1, 1, 2, 1, 2, 0.5, 0.5, 0.5, 1, 0.5, 1, 1.5, 2, 3,
4, 0, 1.5, 6, 6, 1, 1, 3, 1, 4, 1, 0, 2, 4, 0.5, 2, 4, 1,
1.5, 6.5, 2, 4, 3, 5, 2.5, 0.5, 1, 0, 2, 3, 0.5, 0, 0, 1,
1, 2, 1, 1.5, 0, 2, 3, 0.5, 1, 1, 1, 2, 1, 1, 3, 1, 0, 0,
3, 1.5, 1, 6, 2, 1, 0, 1, 0.5, 0, 4, 4, 5, 0.5, 1, 1, 2,
5, 0, 3, 1, 5, 3, 0.5, 1, 0.5, 0, 0.5, 0.5, 2, 0, 2.5, 3,
8, 3, 0.5, 0.5, 2, 2.5, 2, 3, 1, 2.5, 8, 0, 1, 1, 5, 1, 1.5,
0, 2, 2, 2, 2.5, 0, 3, 1, 0.5, 1, 0.5, 2, 1, 3, 1, 0, 2,
2, 2, 2, 5, 4, 0, 2, 5, 1, 2, 3, 1, 5, 3, 1, 3, 1, 0.5, 1,
0, 0.5, 2, 1, 0.5, 2, 0.5, 1, 1, 0.5, 8, 8.5, 0, 0, 0.5,
1), label = "Internet usage for educational purposes (hours per day)"),
leisure = structure(c(5, 5, 3, 1, 2, 0.5, 5, 3, 2, 5, 2,
3, 1, 2, 5.5, 2, 2, 4, 1, 5, 1, 4, 2, 3, 1, 2, 5, 5, 4, 5,
3, 4, 4, 5, 1.5, 7, 3, 1, 1, 2, 1, 4, 1, 0, 2, 3, 1, 4, 1,
4, 3.5, 2, 2, 1, 3, 2, 2, 2, 3, 5.5, 0, 1, 3, 1, 3, 2, 2,
1, 2, 0.5, 1, 5, 2, 2, 5, 1.5, 2, 2, 1, 3, 2, 4, 2.5, 8,
2, 4, 1, 2, 3, 2, 1, 4, 4, 2, 2, 2, 5, 2, 4, 2, 6, 4, 6,
2, 3, 2.5, 1, 4, 6, 7, 5, 3, 2, 1, 3, 0.5, 2, 0.5, 3, 3,
1, 3, 2, 2.5, 2, 4, 1.5, 1, 2, 2, 5, 4, 4, 5, 2, 5, 2, 3,
0.5, 3, 1, 2, 2, 3, 3, 1, 1, 1, 0.5, 1, 2, 0.5, 1, 2, 1,
4, 2, 1.5, 1, 6, 7, 2, 2, 5.5, 3, 2.5, 8, 2, 7, 12, 1.5,
2, 5, 4, 3, 2, 6, 6, 4, 2, 5, 4, 4, 8, 3, 2, 3, 1, 0.5, 2,
1.5, 3, 2, 5, 1, 3, 5, 4, 4, 2, 3, 3, 1, 1, 3, 3, 3, 2, 4.5,
4, 1, 4, 6, 3, 2, 4, 2, 2, 2, 1, 4, 2, 2, 2, 2, 4, 5, 2,
2, 1.5, 2, 1, 2, 5, 1, 3, 2, 3, 2, 3, 2, 1, 2, 3, 3, 1, 2,
3, 3, 5, 2, 2, 1, 5.5, 2, 3, 3, 1, 2, 2, 3, 3, 1, 1, 3, 8,
1, 3, 0, 5, 2, 1, 5, 1, 0.5, 3, 6, 4, 1, 5, 5, 6, 2, 0.5,
4, 4, 2, 2, 5, 4, 2.5, 4, 4.5, 7, 6, 2, 1, 4, 3, 3, 3, 8,
2.5, 1, 3, 4, 8, 6, 2, 6, 4, 6, 5, 2, 5, 6, 1.5, 3, 3, 3,
3, 2, 5, 3, 3, 4, 10, 3, 3, 1.5, 2, 8, 4.5, 3, 1, 4, 4, 3,
3, 2, 8, 10, 2.5, 3.5, 5, 3, 3, 6, 5, 1.5, 3, 2, 2, 6, 3,
3, 3, 5, 2, 2, 5, 5.5, 8, 7, 6, 4, 6.5, 5, 8, 2, 3.5, 5,
5, 4, 2, 2, 3.5, 3, 8, 2, 5, 5, 5, 5, 0, 5, 5, 5, 7, 2, 3,
5, 4, 4, 8, 5, 6, 5, 4, 5, 4, 4, 10, 3, 3.5, 2, 2, 3, 3,
6, 4, 5, 4, 3.5, 5, 1, 3, 4, 5, 8, 10, 7, 8, 4, 5, 5, 5,
8, 6, 4, 8, 8, 3, 2, 5, 1, 3, 1, 2, 2, 3.5, 2, 1.5, 1, 2,
0.5, 3, 3, 4, 2, 1, 1, 2.5, 1, 1, 2, 4, 5, 6, 1.5, 1, 2,
0.5, 4, 4, 1, 1, 5, 1, 4, 0.5, 1, 0, 4, 1, 4, 1.5, 0.5, 1,
1, 3, 2, 2, 3, 1, 1, 0.5, 2, 3, 3, 2, 5, 2, 1, 4.5, 4, 2,
3, 1, 7, 2, 1, 2, 3, 2, 2, 3, 3, 1, 1, 2, 3, 2, 0, 6, 2,
1, 2, 5, 2, 0.5, 1, 4, 1, 4, 3, 1, 2, 1, 2, 2, 0.5, 1.5,
8, 1.5, 1, 1, 10, 4, 5, 0.5, 4, 4, 2, 3, 1, 1.5, 2, 0.5,
0.5, 0.5, 2, 0.5, 2, 4, 1, 2, 2, 2, 3, 1, 0, 5, 1, 4, 1,
8, 3, 3, 0.5, 4, 2, 1, 2.5, 4, 2, 2, 3, 4, 0.5, 1.5, 1.5,
2.5, 2, 3, 0.5, 1, 1, 1, 2, 0, 1, 1.5, 2, 0, 1, 0.5, 1, 2,
3, 10, 5, 2, 3, 3, 1, 1, 3, 9, 2, 2, 2, 1, 4, 2, 2, 10, 6,
6, 1, 3.5, 3, 3, 8, 1, 3, 7, 2, 4, 5, 2, 1.5, 3, 6.5, 2,
1, 4, 6, 5, 6, 5, 2, 2, 2, 6, 3.5, 5, 7, 3, 4, 1, 4, 5, 5,
3, 3, 4, 10, 3, 2, 5, 1.5, 1, 3, 3, 4.5, 2, 4, 0, 3, 1, 3,
6, 7, 4, 4, 5, 10, 4, 5, 6, 7, 10, 3, 10, 10, 5, 12, 2, 5,
3, 3, 3, 5, 2, 5, 4, 10, 10, 5, 5, 3, 8, 6, 3.5, 3, 10, 5,
5), label = "Internet usage in leisure time (hours per day)"),
net.required = structure(c(4L, 5L, 5L, 5L, 4L, 4L, 1L, 5L,
1L, 5L, 5L, 5L, 5L, 5L, 2L, 4L, 5L, 5L, 5L, 1L, 5L, 3L, 5L,
4L, 5L, 5L, 5L, 2L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 2L, 1L, 4L,
4L, 3L, 5L, 5L, 4L, 5L, 3L, 4L, 5L, 5L, 3L, 4L, 1L, 5L, 4L,
5L, 1L, 3L, 4L, 5L, 3L, 2L, 5L, 4L, 1L, 4L, 4L, 2L, 4L, 4L,
4L, 3L, 4L, 4L, 5L, 4L, 4L, 4L, 2L, 2L, 4L, 3L, 3L, 2L, 2L,
5L, 4L, 3L, 4L, 4L, 3L, 4L, 4L, 2L, 4L, 3L, 5L, 3L, 1L, 4L,
4L, 3L, 5L, 2L, 1L, 1L, 3L, 1L, 4L, 5L, 3L, 5L, 5L, 5L, 5L,
5L, 4L, 4L, 4L, 4L, 3L, 5L, 1L, 2L, 5L, 4L, 1L, 1L, 4L, 2L,
3L, 5L, 4L, 2L, 5L, 4L, 5L, 3L, 5L, 5L, 5L, 1L, 5L, 5L, 4L,
5L, 3L, 4L, 1L, 1L, 4L, 5L, 5L, 4L, 1L, 3L, 4L, 5L, 4L, 2L,
5L, 4L, 1L, 2L, 4L, 3L, 4L, 4L, 5L, 3L, 1L, 5L, 3L, 3L, 3L,
4L, 3L, 5L, 4L, 3L, 4L, 5L, 3L, 4L, 4L, 5L, 3L, 3L, 3L, 3L,
5L, 4L, 1L, 1L, 3L, 1L, 3L, 3L, 4L, 5L, 4L, 3L, 4L, 3L, 5L,
4L, 1L, 3L, 4L, 5L, 1L, 5L, 3L, 5L, 4L, 4L, 4L, 3L, 3L, 4L,
4L, 4L, 2L, 5L, 3L, 1L, 1L, 3L, 3L, 4L, 5L, 2L, 1L, 4L, 3L,
4L, 5L, 4L, 5L, 4L, 4L, 3L, 5L, 4L, 3L, 5L, 3L, 3L, 5L, 5L,
4L, 5L, 4L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 5L, 3L, 4L, 5L,
4L, 5L, 4L, 5L, 1L, 1L, 4L, 1L, 4L, 5L, 5L, 3L, 3L, 2L, 2L,
3L, 3L, 3L, 3L, 2L, 1L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 4L,
5L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 3L, 3L,
5L, 4L, 4L, 3L, 5L, 4L, 4L, 3L, 1L, 3L, 3L, 4L, 3L, 5L, 4L,
5L, 4L, 4L, 3L, 4L, 1L, 3L, 1L, 5L, 1L, 5L, 3L, 1L, 5L, 4L,
3L, 4L, 2L, 2L, 5L, 3L, 3L, 4L, 4L, 1L, 3L, 4L, 4L, 3L, 5L,
1L, 5L, 5L, 2L, 5L, 4L, 4L, 5L, 5L, 5L, 2L, 1L, 3L, 1L, 2L,
3L, 4L, 3L, 3L, 1L, 1L, 4L, 2L, 4L, 3L, 5L, 4L, 4L, 5L, 5L,
5L, 4L, 5L, 1L, 5L, 1L, 4L, 1L, 2L, 4L, 5L, 1L, 1L, 4L, 2L,
3L, 4L, 3L, 4L, 3L, 2L, 3L, 3L, 5L, 4L, 5L, 4L, 4L, 4L, 4L,
4L, 1L, 4L, 1L, 1L, 4L, 5L, 1L, 3L, 5L, 3L, 5L, 4L, 3L, 1L,
3L, 4L, 3L, 4L, 5L, 5L, 4L, 3L, 4L, 4L, 3L, 4L, 3L, 3L, 4L,
3L, 4L, 4L, 3L, 5L, 4L, 4L, 5L, 1L, 3L, 3L, 3L, 4L, 4L, 4L,
1L, 4L, 4L, 3L, 4L, 5L, 3L, 4L, 5L, 1L, 4L, 4L, 4L, 3L, 4L,
2L, 5L, 2L, 3L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 3L, 5L, 4L, 3L,
4L, 4L, 2L, 1L, 3L, 4L, 3L, 5L, 5L, 3L, 4L, 3L, 5L, 4L, 3L,
4L, 4L, 5L, 3L, 5L, 4L, 3L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L,
4L, 3L, 3L, 2L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 4L, 3L, 3L,
5L, 5L, 3L, 3L, 5L, 4L, 4L, 5L, 3L, 3L, 5L, 3L, 5L, 3L, 1L,
4L, 4L, 3L, 4L, 5L, 5L, 3L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 5L,
3L, 4L, 3L, 4L, 2L, 4L, 3L, 5L, 5L, 4L, 5L, 3L, 4L, 5L, 4L,
4L, 5L, 4L, 4L, 1L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L,
1L, 4L, 3L, 5L, 4L, 4L, 2L, 3L, 4L, 4L, 4L, 2L, 4L, 4L, 4L,
2L, 4L, 5L, 4L, 5L, 1L, 4L, 4L, 4L, 1L, 5L, 4L, 4L, 3L, 4L,
5L, 3L, 2L, 3L, 3L, 5L, 4L, 4L, 3L, 3L, 3L, 5L, 5L, 4L, 5L,
5L, 4L, 5L, 4L, 4L, 3L, 4L, 3L, 3L, 5L, 4L, 4L, 3L, 5L, 4L,
4L, 5L, 3L, 1L, 5L, 4L, 5L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 2L,
4L, 3L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 2L, 4L, 4L, 3L,
3L, 5L, 5L, 4L, 5L, 1L, 5L, 3L, 1L, 5L, 3L, 4L, 5L, 3L, 5L,
5L, 3L, 3L, 5L, 4L, 4L, 5L, 3L, 1L, 4L, 2L), .Label = c("never",
"rarely", "sometimes", "often", "always"), class = c("ordered",
"factor"), label = "How often does your profession require Internet access?"),
net.pay = structure(c(1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L,
4L, 1L, 4L, 3L, 1L, 4L, 1L, 1L, 5L, 4L, 4L, 4L, 4L, 1L, 1L,
4L, 1L, 5L, 1L, 4L, 1L, 4L, 5L, 5L, 1L, 4L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 3L, 3L, 1L, 4L, 3L, 4L, 4L, 1L, 4L, 4L, 1L, 4L,
4L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 3L, 1L, 5L,
5L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L, 4L,
4L, 4L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 4L, 1L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 3L,
3L, 2L, 1L, 1L, 4L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 4L,
1L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 4L, 3L, 4L, 2L, 1L,
4L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 4L, 5L, 4L, 4L, 1L, 4L, 4L,
4L, 4L, 4L, 4L, 1L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L,
1L, 4L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 4L, 3L, 1L, 4L, 1L,
4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 1L,
4L, 4L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 2L, 1L, 4L, 4L, 5L, 1L,
5L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 4L, 4L, 3L,
4L, 4L, 4L, 1L, 5L, 1L, 4L, 1L, 1L, 3L, 1L, 4L, 4L, 1L, 3L,
4L, 4L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L,
1L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 1L, 4L, 4L, 4L, 1L,
4L, 4L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L,
4L, 4L, 1L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 4L,
1L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 2L, 1L, 1L, 1L, 4L,
4L, 4L, 1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 4L, 5L, 4L, 4L, 1L,
1L, 4L, 1L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 2L, 4L, 1L, 1L, 4L,
4L, 4L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L,
1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 1L, 1L, 1L, 1L, 3L, 4L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 4L,
4L, 1L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 1L,
4L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 1L,
1L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 1L, 4L, 3L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 5L,
1L, 4L, 1L, 1L, 1L, 5L, 1L, 3L, 5L, 4L, 4L, 2L, 1L, 2L, 1L,
1L, 1L, 4L, 1L, 2L, 1L, 1L, 2L, 4L, 4L, 1L, 4L, 1L, 4L, 5L,
1L, 5L, 5L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L,
4L, 1L, 1L, 4L, 4L, 4L, 2L, 1L, 4L, 3L, 4L, 4L, 1L, 4L, 4L,
4L, 4L, 1L, 1L, 3L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 3L, 4L, 4L,
1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 3L, 1L, 4L, 1L, 3L, 1L,
1L, 5L, 4L, 1L, 4L, 4L, 3L, 5L, 1L, 3L, 4L, 1L, 4L, 5L, 1L,
4L, 1L, 4L, 4L, 1L, 1L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L, 1L,
4L, 1L, 1L, 1L, 4L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 5L, 1L, 5L,
1L, 4L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 4L, 4L, 4L, 5L, 1L, 2L, 1L, 4L, 1L, 4L, 4L, 4L, 1L, 1L,
5L, 1L, 1L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L,
4L, 4L, 4L, 1L, 2L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 1L, 1L,
1L, 4L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 5L,
4L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 1L, 4L, 4L,
1L, 1L, 4L, 1L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 5L,
1L, 1L, 1L, 1L, 4L, 3L, 5L, 4L, 1L, 4L), .Label = c("parents",
"school/faculty", "employer", "self-funded", "other"), class = "factor", label = "Who pays for your Internet access?"),
net.use = structure(c(7L, 7L, 3L, 7L, 2L, 1L, 5L, 7L, 7L,
7L, 4L, 7L, 7L, 7L, 7L, 5L, 4L, 6L, 6L, 6L, 7L, 2L, 7L, 3L,
7L, 6L, 5L, 2L, 6L, 7L, 6L, 4L, 4L, 7L, 7L, 7L, 4L, 5L, 7L,
7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 7L, 3L, 7L, 5L, 7L,
7L, 7L, 4L, 7L, 5L, 3L, 7L, 7L, 7L, 5L, 7L, 7L, 6L, 6L, 6L,
6L, 7L, 7L, 6L, 7L, 2L, 7L, 2L, 7L, 7L, 7L, 7L, 4L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 4L, 7L, 7L, 2L, 6L, 7L,
1L, 7L, 5L, 7L, 7L, 2L, 4L, 3L, 7L, 2L, 7L, 7L, 6L, 7L, 7L,
7L, 1L, 7L, 7L, 7L, 7L, 4L, 2L, 7L, 3L, 7L, 3L, 7L, 7L, 2L,
5L, 3L, 7L, 4L, 7L, 3L, 5L, 7L, 5L, 7L, 1L, 5L, 7L, 4L, 3L,
5L, 5L, 6L, 7L, 5L, 7L, 5L, 7L, 6L, 4L, 5L, 5L, 7L, 3L, 4L,
7L, 4L, 2L, 7L, 2L, 1L, 6L, 7L, 6L, 2L, 5L, 5L, 3L, 6L, 4L,
4L, 7L, 3L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 7L, 4L, 5L, 7L,
3L, 5L, 2L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 1L, 3L, 3L, 7L, 5L,
3L, 5L, 7L, 7L, 7L, 7L, 7L, 6L, 2L, 7L, 1L, 1L, 3L, 7L, 7L,
6L, 7L, 6L, 6L, 7L, 7L, 5L, 2L, 7L, 7L, 2L, 7L, 7L, 2L, 4L,
7L, 7L, 7L, 7L, 7L, 6L, 7L, 7L, 7L, 7L, 2L, 7L, 7L, 7L, 5L,
7L, 3L, 3L, 3L, 6L, 7L, 7L, 5L, 7L, 6L, 4L, 5L, 7L, 7L, 7L,
7L, 7L, 6L, 4L, 3L, 2L, 2L, 3L, 2L, 7L, 4L, 7L, 5L, 6L, 3L,
4L, 5L, 7L, 4L, 4L, 7L, 1L, 7L, 3L, 3L, 4L, 2L, 7L, 6L, 7L,
7L, 3L, 7L, 7L, 7L, 6L, 4L, 7L, 3L, 7L, 1L, 7L, 7L, 7L, 7L,
3L, 5L, 2L, 7L, 3L, 2L, 3L, 5L, 7L, 6L, 7L, 7L, 2L, 7L, 7L,
7L, 6L, 7L, 6L, 7L, 7L, 6L, 7L, 4L, 1L, 7L, 2L, 7L, 7L, 7L,
5L, 5L, 7L, 7L, 4L, 3L, 7L, 7L, 3L, 1L, 2L, 7L, 4L, 5L, 4L,
6L, 7L, 6L, 7L, 6L, 7L, 7L, 3L, 7L, 4L, 4L, 5L, 5L, 3L, 2L,
7L, 7L, 5L, 3L, 4L, 7L, 3L, 7L, 7L, 4L, 5L, 4L, 5L, 5L, 5L,
7L, 5L, 3L, 7L, 5L, 7L, 4L, 4L, 7L, 2L, 6L, 2L, 2L, 2L, 7L,
4L, 6L, 3L, 2L, 7L, 2L, 7L, 7L, 7L, 7L, 7L, 7L, 3L, 7L, 7L,
7L, 7L, 7L, 2L, 7L, 7L, 4L, 7L, 7L, 3L, 7L, 7L, 1L, 7L, 6L,
7L, 7L, 5L, 7L, 7L, 4L, 7L, 5L, 7L, 7L, 6L, 4L, 6L, 7L, 3L,
4L, 7L, 2L, 5L, 4L, 7L, 7L, 1L, 5L, 7L, 7L, 7L, 7L, 7L, 4L,
7L, 7L, 1L, 3L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 6L, 4L, 7L,
3L, 7L, 7L, 6L, 3L, 4L, 4L, 4L, 7L, 7L, 5L, 7L, 7L, 7L, 4L,
7L, 6L, 7L, 5L, 7L, 1L, 6L, 6L, 6L, 7L, 4L, 7L, 4L, 3L, 7L,
5L, 3L, 7L, 7L, 7L, 4L, 7L, 7L, 7L, 6L, 6L, 7L, 7L, 7L, 7L,
7L, 3L, 3L, 6L, 7L, 6L, 3L, 7L, 3L, 7L, 7L, 7L, 7L, 4L, 7L,
7L, 4L, 1L, 7L, 6L, 7L, 6L, 4L, 3L, 7L, 6L, 7L, 4L, 5L, 7L,
7L, 6L, 4L, 7L, 5L, 1L, 5L, 1L, 7L, 6L, 7L, 5L, 7L, 7L, 7L,
7L, 7L, 3L, 6L, 7L, 3L, 5L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L,
7L, 2L, 3L, 3L, 6L, 7L, 7L, 4L, 2L, 5L, 6L, 3L, 2L, 2L, 2L,
3L, 5L, 1L, 2L, 1L, 3L, 7L, 2L, 5L, 3L, 4L, 6L, 6L, 7L, 2L,
2L, 7L, 7L, 7L, 6L, 2L, 7L, 7L, 5L, 5L, 7L, 4L, 4L, 7L, 7L,
3L, 7L, 5L, 4L, 7L, 3L, 5L, 7L, 4L, 4L, 6L, 7L, 4L, 3L, 3L,
7L, 7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 7L, 7L, 5L, 2L, 7L, 6L,
4L, 7L, 7L, 6L, 5L, 4L, 7L, 7L, 7L, 5L, 3L, 7L, 2L, 5L, 4L,
4L, 7L, 5L, 4L, 7L, 7L, 7L, 4L, 3L, 7L, 7L, 4L, 2L, 4L, 5L,
5L, 7L, 4L, 6L, 7L, 3L, 6L, 2L, 4L, 7L, 7L, 3L, 7L, 7L, 7L,
6L, 7L, 7L, 5L, 7L, 7L, 7L, 2L, 7L, 4L), .Label = c("less than 6 months",
"1 years", "2 years", "3 years", "4 years", "5 years", "more than 5 years"
), class = c("ordered", "factor"), label = "How long you've been using Internet?"),
chatim = structure(c(7L, 7L, 6L, 1L, 4L, 6L, 5L, 6L, 2L,
7L, 7L, 6L, 7L, 7L, 5L, 7L, 3L, 7L, 6L, 2L, 7L, 4L, 2L, 5L,
5L, 4L, 7L, 5L, 7L, 4L, 4L, 4L, 4L, 7L, 7L, 7L, 1L, 5L, 4L,
6L, 5L, 7L, 1L, 3L, 6L, 7L, 2L, 7L, 5L, 5L, 4L, 1L, 4L, 5L,
5L, 4L, 3L, 7L, 4L, 1L, 1L, 7L, 2L, 7L, 5L, 4L, 1L, 6L, 5L,
1L, 1L, 2L, 1L, 3L, 2L, 4L, 4L, 3L, 4L, 7L, 2L, 1L, 3L, 5L,
4L, 6L, 7L, 3L, 4L, 7L, 5L, 5L, 5L, 5L, 7L, 5L, 2L, 4L, 5L,
4L, 6L, 6L, 5L, 2L, 4L, 6L, 1L, 7L, 4L, 6L, 4L, 5L, 3L, 4L,
5L, 1L, 1L, 3L, 5L, 6L, 1L, 4L, 7L, 5L, 2L, 5L, 2L, 5L, 5L,
4L, 2L, 3L, 3L, 6L, 5L, 5L, 6L, 4L, 5L, 4L, 5L, 4L, 1L, 1L,
4L, 4L, 1L, 2L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 6L, 5L, 2L, 3L,
7L, 3L, 5L, 2L, 7L, 5L, 5L, 4L, 4L, 6L, 2L, 2L, 4L, 4L, 4L,
4L, 4L, 7L, 4L, 4L, 4L, 5L, 6L, 6L, 7L, 5L, 4L, 4L, 3L, 2L,
4L, 3L, 2L, 5L, 7L, 1L, 7L, 1L, 5L, 5L, 3L, 5L, 2L, 2L, 7L,
1L, 2L, 4L, 7L, 7L, 7L, 2L, 6L, 1L, 2L, 4L, 5L, 4L, 5L, 5L,
3L, 6L, 4L, 2L, 5L, 3L, 7L, 7L, 7L, 2L, 3L, 2L, 3L, 4L, 5L,
4L, 7L, 5L, 6L, 2L, 4L, 5L, 2L, 2L, 6L, 3L, 2L, 5L, 6L, 1L,
6L, 4L, 5L, 3L, 5L, 4L, 5L, 5L, 5L, 4L, 6L, 2L, 3L, 6L, 3L,
2L, 4L, 1L, 5L, 6L, 3L, 4L, 3L, 7L, 6L, 1L, 1L, 4L, 6L, 2L,
3L, 3L, 6L, 3L, 5L, 3L, 7L, 2L, 1L, 3L, 5L, 3L, 4L, 2L, 5L,
7L, 7L, 5L, 6L, 7L, 6L, 7L, 7L, 2L, 3L, 6L, 7L, 6L, 7L, 7L,
7L, 3L, 3L, 4L, 1L, 6L, 7L, 4L, 3L, 2L, 7L, 3L, 6L, 7L, 2L,
2L, 5L, 7L, 6L, 7L, 1L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 2L, 5L,
2L, 3L, 3L, 7L, 4L, 4L, 7L, 6L, 1L, 3L, 6L, 4L, 6L, 6L, 6L,
7L, 4L, 4L, 7L, 5L, 6L, 7L, 7L, 7L, 3L, 3L, 4L, 6L, 5L, 5L,
6L, 1L, 4L, 7L, 4L, 5L, 7L, 5L, 1L, 4L, 4L, 7L, 5L, 5L, 5L,
4L, 6L, 4L, 5L, 1L, 3L, 7L, 2L, 2L, 6L, 1L, 3L, 4L, 4L, 5L,
6L, 5L, 6L, 3L, 7L, 7L, 5L, 6L, 7L, 5L, 5L, 5L, 7L, 2L, 5L,
3L, 5L, 7L, 6L, 6L, 7L, 5L, 5L, 7L, 1L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 6L, 2L, 5L, 6L, 5L, 5L, 6L, 5L, 6L, 7L, 4L, 5L, 4L,
1L, 1L, 5L, 5L, 7L, 1L, 1L, 2L, 4L, 4L, 1L, 4L, 5L, 7L, 6L,
7L, 5L, 2L, 5L, 5L, 2L, 4L, 6L, 2L, 7L, 6L, 4L, 2L, 1L, 7L,
1L, 7L, 1L, 6L, 4L, 4L, 4L, 1L, 5L, 1L, 1L, 5L, 3L, 2L, 4L,
4L, 4L, 7L, 6L, 1L, 5L, 4L, 7L, 1L, 2L, 6L, 5L, 5L, 5L, 6L,
6L, 2L, 3L, 6L, 1L, 4L, 5L, 5L, 7L, 2L, 5L, 1L, 5L, 1L, 5L,
4L, 4L, 6L, 6L, 4L, 3L, 5L, 2L, 2L, 4L, 2L, 7L, 5L, 2L, 4L,
2L, 1L, 7L, 7L, 6L, 2L, 5L, 2L, 5L, 1L, 6L, 1L, 1L, 2L, 2L,
5L, 2L, 6L, 1L, 7L, 6L, 6L, 6L, 1L, 5L, 5L, 2L, 1L, 7L, 3L,
4L, 5L, 4L, 7L, 5L, 4L, 2L, 3L, 5L, 7L, 7L, 4L, 3L, 4L, 7L,
6L, 6L, 5L, 7L, 5L, 7L, 4L, 1L, 4L, 2L, 2L, 4L, 4L, 4L, 3L,
4L, 3L, 3L, 4L, 7L, 7L, 1L, 4L, 3L, 6L, 6L, 4L, 4L, 6L, 5L,
2L, 4L, 5L, 5L, 5L, 7L, 2L, 7L, 5L, 7L, 5L, 3L, 5L, 5L, 6L,
3L, 5L, 4L, 1L, 7L, 5L, 7L, 2L, 5L, 5L, 7L, 1L, 1L, 6L, 7L,
7L, 2L, 5L, 4L, 6L, 7L, 3L, 6L, 7L, 6L, 6L, 4L, 7L, 5L, 1L,
4L, 7L, 6L, 7L, 7L, 3L, 7L, 5L, 5L, 6L, 5L, 7L, 6L, 4L, 4L,
2L, 7L, 7L, 6L, 7L, 5L, 5L, 7L, 7L, 3L, 7L, 2L, 7L, 7L, 4L,
5L, 6L, 7L, 7L, 5L, 7L, 5L, 3L, 4L, 7L, 6L, 4L, 2L, 7L, 7L,
2L, 4L, 6L, 7L, 7L, 7L, 5L, 7L, 7L, 5L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Chat & IM usage"),
game = structure(c(5L, 2L, 5L, 1L, 4L, 1L, 2L, 4L, 1L, 5L,
2L, 6L, 1L, 1L, 7L, 1L, 1L, 5L, 1L, 2L, 1L, 2L, 2L, 3L, 1L,
4L, 6L, 3L, 2L, 2L, 7L, 5L, 5L, 6L, 4L, 5L, 6L, 1L, 1L, 3L,
7L, 3L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 6L, 1L, 1L, 1L, 1L, 3L,
1L, 2L, 2L, 1L, 1L, 2L, 4L, 1L, 1L, 1L, 2L, 1L, 6L, 1L, 1L,
1L, 1L, 2L, 4L, 1L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 6L, 1L, 1L, 5L, 1L, 6L, 1L,
6L, 6L, 2L, 4L, 1L, 2L, 1L, 1L, 6L, 1L, 1L, 4L, 3L, 1L, 1L,
1L, 2L, 2L, 1L, 2L, 1L, 5L, 4L, 3L, 2L, 2L, 1L, 5L, 1L, 6L,
1L, 1L, 1L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 4L,
6L, 1L, 1L, 7L, 2L, 1L, 4L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L,
2L, 5L, 4L, 3L, 1L, 4L, 1L, 6L, 7L, 1L, 1L, 2L, 1L, 4L, 5L,
1L, 1L, 3L, 5L, 1L, 2L, 4L, 1L, 2L, 2L, 5L, 4L, 1L, 1L, 2L,
7L, 2L, 1L, 2L, 1L, 2L, 6L, 3L, 5L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 1L, 6L, 1L, 4L, 1L, 1L, 2L, 1L, 6L, 1L, 5L, 1L, 2L, 2L,
1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 5L, 6L, 1L, 1L, 2L,
1L, 3L, 2L, 1L, 4L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 5L,
1L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 6L, 3L, 4L, 5L, 1L, 6L, 7L,
1L, 2L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 1L, 7L, 5L, 7L, 5L, 7L,
4L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 4L, 1L, 2L,
5L, 7L, 1L, 2L, 2L, 4L, 3L, 7L, 1L, 1L, 4L, 3L, 3L, 7L, 1L,
6L, 7L, 1L, 2L, 7L, 1L, 2L, 7L, 3L, 3L, 1L, 1L, 4L, 1L, 1L,
2L, 2L, 2L, 4L, 1L, 2L, 7L, 1L, 1L, 7L, 2L, 1L, 4L, 5L, 4L,
1L, 5L, 7L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L,
6L, 2L, 4L, 7L, 2L, 1L, 6L, 4L, 6L, 1L, 1L, 1L, 7L, 1L, 6L,
6L, 1L, 4L, 2L, 7L, 1L, 4L, 3L, 3L, 4L, 7L, 4L, 2L, 2L, 1L,
1L, 2L, 5L, 2L, 7L, 7L, 5L, 7L, 3L, 7L, 7L, 7L, 3L, 6L, 2L,
7L, 5L, 1L, 1L, 6L, 3L, 6L, 1L, 1L, 1L, 4L, 1L, 1L, 2L, 4L,
1L, 2L, 2L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 3L,
1L, 2L, 1L, 4L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 2L, 5L, 1L,
1L, 1L, 5L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 1L, 6L, 2L, 1L, 1L, 1L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 7L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 4L,
6L, 4L, 4L, 1L, 2L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 3L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
1L, 2L, 4L, 7L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 6L, 1L, 5L,
5L, 5L, 1L, 1L, 1L, 2L, 2L, 6L, 3L, 1L, 4L, 6L, 1L, 1L, 1L,
6L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 6L, 4L, 1L, 4L, 1L, 3L, 1L, 5L, 2L,
1L, 2L, 6L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 2L, 4L, 2L,
2L, 1L, 2L, 5L, 1L, 2L, 7L, 2L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "On-line games usage"),
surf = structure(c(6L, 7L, 6L, 4L, 3L, 5L, 3L, 7L, 4L, 7L,
7L, 6L, 5L, 7L, 7L, 7L, 6L, 6L, 6L, 5L, 6L, 3L, 5L, 7L, 7L,
6L, 6L, 3L, 7L, 5L, 6L, 3L, 3L, 7L, 6L, 7L, 7L, 4L, 5L, 7L,
4L, 7L, 5L, 2L, 4L, 7L, 7L, 7L, 6L, 7L, 5L, 7L, 7L, 7L, 5L,
4L, 5L, 4L, 1L, 3L, 5L, 5L, 7L, 7L, 5L, 3L, 3L, 6L, 6L, 4L,
7L, 7L, 7L, 7L, 1L, 5L, 4L, 3L, 7L, 4L, 6L, 1L, 6L, 1L, 4L,
7L, 2L, 5L, 5L, 6L, 5L, 6L, 6L, 5L, 6L, 6L, 7L, 5L, 5L, 4L,
5L, 6L, 5L, 5L, 4L, 6L, 6L, 7L, 4L, 7L, 3L, 3L, 4L, 4L, 5L,
3L, 5L, 6L, 7L, 7L, 5L, 5L, 7L, 4L, 5L, 5L, 6L, 3L, 2L, 4L,
5L, 5L, 5L, 7L, 7L, 5L, 4L, 7L, 5L, 3L, 6L, 4L, 6L, 3L, 4L,
5L, 4L, 4L, 5L, 6L, 6L, 4L, 2L, 3L, 4L, 7L, 4L, 6L, 7L, 6L,
4L, 4L, 7L, 7L, 7L, 4L, 4L, 4L, 1L, 7L, 6L, 5L, 7L, 6L, 7L,
6L, 6L, 6L, 5L, 7L, 7L, 6L, 7L, 7L, 3L, 7L, 5L, 5L, 4L, 6L,
6L, 2L, 7L, 4L, 6L, 6L, 7L, 6L, 6L, 4L, 5L, 2L, 5L, 5L, 4L,
5L, 6L, 4L, 7L, 7L, 2L, 7L, 7L, 7L, 5L, 5L, 4L, 5L, 5L, 6L,
6L, 5L, 6L, 4L, 6L, 5L, 6L, 6L, 3L, 4L, 6L, 4L, 4L, 5L, 5L,
7L, 5L, 7L, 5L, 7L, 7L, 4L, 4L, 6L, 4L, 5L, 6L, 5L, 6L, 7L,
3L, 5L, 3L, 4L, 4L, 7L, 5L, 7L, 4L, 6L, 7L, 7L, 5L, 5L, 7L,
5L, 5L, 3L, 6L, 5L, 5L, 5L, 6L, 6L, 2L, 7L, 4L, 5L, 5L, 4L,
5L, 6L, 4L, 3L, 4L, 7L, 3L, 4L, 5L, 3L, 6L, 5L, 7L, 6L, 7L,
7L, 7L, 6L, 5L, 4L, 7L, 7L, 6L, 4L, 4L, 7L, 4L, 7L, 7L, 7L,
6L, 6L, 7L, 7L, 5L, 5L, 6L, 7L, 4L, 5L, 2L, 4L, 7L, 7L, 6L,
4L, 7L, 7L, 5L, 6L, 5L, 7L, 6L, 5L, 4L, 4L, 7L, 7L, 5L, 3L,
6L, 5L, 6L, 6L, 5L, 7L, 6L, 5L, 4L, 2L, 7L, 6L, 7L, 5L, 7L,
6L, 6L, 7L, 3L, 6L, 6L, 7L, 7L, 4L, 5L, 7L, 7L, 4L, 7L, 5L,
5L, 7L, 6L, 7L, 7L, 5L, 5L, 5L, 6L, 5L, 5L, 7L, 7L, 7L, 6L,
6L, 4L, 6L, 4L, 7L, 5L, 6L, 7L, 5L, 6L, 4L, 4L, 5L, 4L, 6L,
6L, 6L, 6L, 7L, 5L, 4L, 7L, 7L, 7L, 5L, 7L, 6L, 7L, 7L, 7L,
5L, 7L, 6L, 7L, 7L, 6L, 5L, 7L, 5L, 7L, 4L, 7L, 7L, 6L, 5L,
4L, 6L, 7L, 7L, 5L, 5L, 7L, 7L, 4L, 6L, 7L, 5L, 5L, 7L, 7L,
5L, 5L, 6L, 4L, 4L, 1L, 2L, 5L, 4L, 4L, 7L, 4L, 2L, 7L, 5L,
5L, 4L, 2L, 6L, 5L, 5L, 7L, 5L, 6L, 5L, 7L, 2L, 1L, 4L, 5L,
4L, 2L, 6L, 2L, 4L, 5L, 6L, 7L, 7L, 7L, 6L, 6L, 5L, 5L, 5L,
5L, 4L, 5L, 5L, 5L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 1L, 6L, 6L,
5L, 6L, 7L, 6L, 3L, 6L, 7L, 7L, 3L, 5L, 5L, 5L, 7L, 7L, 5L,
5L, 3L, 5L, 7L, 6L, 6L, 6L, 4L, 2L, 7L, 6L, 5L, 5L, 7L, 7L,
4L, 7L, 2L, 6L, 7L, 6L, 5L, 4L, 6L, 5L, 4L, 3L, 6L, 5L, 7L,
5L, 6L, 5L, 7L, 5L, 5L, 6L, 6L, 6L, 7L, 6L, 1L, 1L, 7L, 6L,
5L, 4L, 7L, 7L, 2L, 7L, 6L, 7L, 2L, 5L, 5L, 5L, 5L, 6L, 6L,
7L, 1L, 2L, 7L, 5L, 5L, 4L, 3L, 5L, 4L, 6L, 4L, 2L, 4L, 4L,
4L, 4L, 4L, 6L, 7L, 2L, 4L, 7L, 2L, 6L, 7L, 7L, 7L, 1L, 4L,
4L, 7L, 5L, 5L, 5L, 2L, 7L, 7L, 7L, 4L, 4L, 4L, 1L, 4L, 6L,
6L, 5L, 5L, 7L, 1L, 5L, 6L, 3L, 7L, 7L, 6L, 4L, 4L, 7L, 7L,
4L, 5L, 1L, 6L, 4L, 7L, 5L, 7L, 7L, 7L, 5L, 1L, 7L, 5L, 5L,
5L, 4L, 7L, 7L, 7L, 6L, 7L, 4L, 6L, 6L, 7L, 4L, 4L, 4L, 5L,
5L, 6L, 7L, 7L, 5L, 7L, 6L, 7L, 7L, 7L, 6L, 6L, 5L, 1L, 7L,
6L, 6L, 6L, 3L, 7L, 7L, 4L, 4L, 7L, 6L, 6L, 2L, 7L, 7L, 6L,
6L, 6L, 5L, 5L, 7L, 4L, 7L, 6L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Web surfing usage"),
email = structure(c(6L, 7L, 6L, 7L, 4L, 3L, 2L, 5L, 7L, 7L,
7L, 6L, 7L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 7L, 2L, 6L, 7L, 7L,
6L, 7L, 2L, 7L, 6L, 7L, 5L, 5L, 6L, 7L, 5L, 7L, 5L, 7L, 7L,
7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 4L, 4L, 5L, 7L, 4L, 7L, 4L,
5L, 6L, 7L, 5L, 7L, 7L, 7L, 6L, 7L, 7L, 4L, 5L, 6L, 5L, 4L,
7L, 6L, 7L, 7L, 2L, 6L, 1L, 4L, 7L, 7L, 5L, 3L, 7L, 5L, 7L,
7L, 7L, 5L, 3L, 7L, 5L, 7L, 6L, 4L, 6L, 5L, 4L, 5L, 4L, 1L,
4L, 4L, 6L, 4L, 3L, 5L, 4L, 7L, 4L, 7L, 5L, 7L, 7L, 7L, 6L,
1L, 4L, 3L, 5L, 7L, 2L, 5L, 7L, 3L, 4L, 3L, 6L, 2L, 5L, 5L,
6L, 5L, 7L, 7L, 7L, 4L, 4L, 7L, 7L, 5L, 6L, 7L, 4L, 6L, 4L,
5L, 2L, 5L, 6L, 7L, 5L, 7L, 2L, 4L, 6L, 6L, 7L, 3L, 7L, 7L,
4L, 3L, 6L, 5L, 7L, 7L, 7L, 4L, 2L, 6L, 4L, 2L, 5L, 5L, 6L,
6L, 6L, 6L, 5L, 7L, 5L, 6L, 5L, 7L, 4L, 7L, 5L, 5L, 7L, 7L,
4L, 3L, 6L, 3L, 6L, 6L, 4L, 6L, 3L, 2L, 5L, 3L, 5L, 2L, 1L,
4L, 6L, 6L, 5L, 7L, 4L, 5L, 4L, 6L, 4L, 3L, 5L, 3L, 4L, 3L,
6L, 5L, 4L, 1L, 6L, 7L, 6L, 7L, 7L, 4L, 6L, 6L, 4L, 4L, 3L,
7L, 7L, 7L, 3L, 5L, 7L, 1L, 4L, 7L, 2L, 4L, 5L, 5L, 5L, 7L,
7L, 4L, 1L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 5L, 7L, 6L, 5L, 6L,
4L, 7L, 5L, 4L, 3L, 1L, 4L, 7L, 7L, 4L, 7L, 4L, 7L, 5L, 2L,
2L, 5L, 3L, 3L, 2L, 5L, 7L, 2L, 5L, 5L, 3L, 7L, 6L, 2L, 7L,
7L, 7L, 5L, 6L, 3L, 7L, 7L, 7L, 7L, 4L, 7L, 2L, 5L, 7L, 7L,
6L, 6L, 7L, 7L, 5L, 6L, 7L, 3L, 7L, 7L, 5L, 7L, 6L, 6L, 4L,
5L, 6L, 7L, 5L, 2L, 3L, 7L, 5L, 6L, 4L, 6L, 7L, 7L, 2L, 7L,
4L, 2L, 7L, 5L, 2L, 7L, 6L, 2L, 4L, 7L, 7L, 6L, 7L, 5L, 7L,
7L, 4L, 7L, 3L, 6L, 7L, 7L, 7L, 4L, 3L, 6L, 5L, 1L, 3L, 5L,
3L, 7L, 6L, 4L, 6L, 4L, 2L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 6L,
4L, 4L, 3L, 3L, 7L, 4L, 5L, 4L, 5L, 3L, 3L, 5L, 4L, 7L, 6L,
6L, 7L, 4L, 7L, 6L, 5L, 5L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 5L,
7L, 7L, 6L, 4L, 7L, 4L, 3L, 7L, 3L, 7L, 1L, 4L, 7L, 6L, 7L,
4L, 3L, 7L, 7L, 7L, 6L, 7L, 7L, 5L, 7L, 7L, 4L, 7L, 6L, 6L,
7L, 7L, 5L, 6L, 7L, 7L, 3L, 5L, 7L, 6L, 7L, 5L, 5L, 4L, 2L,
7L, 5L, 5L, 3L, 2L, 3L, 7L, 7L, 7L, 7L, 4L, 3L, 3L, 7L, 4L,
7L, 7L, 6L, 1L, 1L, 5L, 6L, 7L, 7L, 6L, 7L, 7L, 7L, 5L, 7L,
4L, 2L, 5L, 5L, 4L, 7L, 7L, 5L, 7L, 5L, 7L, 5L, 6L, 7L, 6L,
7L, 5L, 7L, 5L, 6L, 6L, 7L, 7L, 6L, 2L, 7L, 7L, 7L, 7L, 5L,
6L, 5L, 6L, 7L, 7L, 5L, 6L, 6L, 7L, 7L, 7L, 7L, 4L, 6L, 5L,
7L, 7L, 7L, 6L, 4L, 7L, 5L, 6L, 7L, 6L, 7L, 2L, 7L, 7L, 6L,
7L, 7L, 7L, 7L, 4L, 7L, 7L, 6L, 7L, 7L, 6L, 6L, 7L, 7L, 7L,
5L, 3L, 7L, 7L, 5L, 6L, 5L, 7L, 7L, 6L, 7L, 5L, 5L, 7L, 7L,
2L, 1L, 5L, 7L, 5L, 5L, 5L, 2L, 4L, 6L, 6L, 4L, 4L, 5L, 5L,
2L, 2L, 3L, 7L, 7L, 7L, 4L, 6L, 7L, 6L, 3L, 3L, 7L, 3L, 5L,
7L, 6L, 7L, 5L, 4L, 7L, 7L, 7L, 7L, 6L, 6L, 4L, 3L, 5L, 4L,
6L, 5L, 4L, 7L, 4L, 7L, 5L, 4L, 3L, 7L, 6L, 2L, 6L, 7L, 7L,
6L, 7L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 7L, 6L, 5L, 7L,
7L, 2L, 5L, 7L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 2L, 5L, 4L,
7L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 5L, 4L, 2L, 7L,
7L, 7L, 4L, 4L, 7L, 7L, 5L, 4L, 7L, 5L, 4L, 7L, 7L, 7L, 6L,
6L, 7L, 3L, 7L, 7L, 7L, 7L, 5L, 6L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Email usage"),
download = structure(c(6L, 7L, 7L, 4L, 5L, 6L, 5L, 7L, 6L,
7L, 7L, 7L, 3L, 7L, 7L, 7L, 6L, 6L, 6L, 5L, 7L, 6L, 6L, 7L,
4L, 7L, 6L, 2L, 7L, 6L, 5L, 7L, 7L, 7L, 4L, 7L, 4L, 5L, 5L,
7L, 7L, 7L, 6L, 4L, 4L, 7L, 7L, 7L, 6L, 6L, 5L, 7L, 6L, 2L,
7L, 5L, 5L, 7L, 4L, 2L, 5L, 7L, 6L, 7L, 6L, 3L, 2L, 6L, 6L,
4L, 6L, 7L, 7L, 4L, 6L, 5L, 2L, 3L, 5L, 4L, 7L, 2L, 7L, 7L,
6L, 7L, 2L, 6L, 3L, 7L, 5L, 7L, 7L, 6L, 6L, 6L, 7L, 3L, 4L,
5L, 4L, 6L, 7L, 7L, 7L, 6L, 4L, 5L, 6L, 7L, 5L, 7L, 7L, 5L,
6L, 2L, 6L, 5L, 7L, 7L, 2L, 7L, 7L, 7L, 4L, 7L, 6L, 7L, 3L,
5L, 6L, 5L, 6L, 6L, 5L, 5L, 5L, 7L, 6L, 5L, 7L, 7L, 5L, 5L,
5L, 4L, 4L, 1L, 5L, 6L, 7L, 4L, 5L, 4L, 5L, 7L, 4L, 5L, 7L,
6L, 7L, 6L, 6L, 5L, 6L, 6L, 4L, 5L, 7L, 7L, 5L, 7L, 7L, 7L,
6L, 6L, 6L, 7L, 5L, 6L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 6L, 7L, 7L, 7L, 5L, 7L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 3L,
6L, 6L, 6L, 7L, 7L, 7L, 5L, 6L, 7L, 5L, 7L, 5L, 6L, 4L, 5L,
6L, 6L, 6L, 7L, 7L, 6L, 6L, 7L, 7L, 7L, 6L, 5L, 7L, 7L, 7L,
6L, 5L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 7L, 4L, 6L,
5L, 7L, 4L, 3L, 6L, 6L, 7L, 4L, 7L, 5L, 7L, 7L, 7L, 6L, 5L,
6L, 7L, 4L, 5L, 7L, 7L, 7L, 7L, 7L, 3L, 4L, 7L, 6L, 5L, 7L,
7L, 7L, 6L, 6L, 5L, 7L, 5L, 6L, 5L, 6L, 6L, 7L, 7L, 6L, 6L,
7L, 4L, 7L, 5L, 5L, 6L, 7L, 6L, 6L, 7L, 6L, 7L, 6L, 6L, 6L,
7L, 5L, 7L, 7L, 7L, 4L, 6L, 2L, 7L, 5L, 4L, 4L, 6L, 6L, 5L,
4L, 5L, 7L, 4L, 5L, 3L, 5L, 7L, 6L, 5L, 4L, 5L, 7L, 7L, 4L,
7L, 6L, 3L, 7L, 7L, 6L, 5L, 7L, 6L, 5L, 4L, 6L, 6L, 6L, 5L,
5L, 5L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 5L, 7L, 7L, 5L, 1L, 7L,
5L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 5L, 7L, 3L, 6L, 4L, 4L, 4L,
5L, 4L, 5L, 7L, 7L, 7L, 3L, 5L, 7L, 6L, 7L, 7L, 7L, 7L, 7L,
6L, 7L, 7L, 7L, 6L, 7L, 4L, 7L, 7L, 7L, 3L, 6L, 6L, 7L, 7L,
7L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L, 6L, 7L, 4L, 7L, 7L, 7L,
6L, 3L, 6L, 6L, 7L, 4L, 6L, 5L, 4L, 5L, 7L, 7L, 4L, 3L, 6L,
6L, 5L, 7L, 4L, 6L, 5L, 2L, 3L, 7L, 4L, 1L, 7L, 4L, 3L, 7L,
4L, 6L, 6L, 5L, 7L, 3L, 5L, 7L, 7L, 7L, 4L, 6L, 5L, 1L, 7L,
5L, 7L, 2L, 5L, 1L, 4L, 5L, 4L, 5L, 7L, 4L, 7L, 6L, 3L, 6L,
2L, 5L, 2L, 5L, 2L, 3L, 7L, 6L, 6L, 5L, 6L, 6L, 5L, 4L, 6L,
3L, 7L, 7L, 7L, 4L, 6L, 6L, 5L, 4L, 4L, 6L, 7L, 6L, 4L, 7L,
2L, 6L, 5L, 6L, 4L, 6L, 5L, 6L, 2L, 4L, 6L, 6L, 6L, 6L, 4L,
6L, 2L, 7L, 4L, 6L, 6L, 7L, 2L, 4L, 6L, 5L, 2L, 2L, 2L, 4L,
5L, 6L, 6L, 4L, 7L, 5L, 3L, 1L, 7L, 6L, 7L, 1L, 6L, 7L, 6L,
7L, 1L, 7L, 7L, 6L, 3L, 7L, 5L, 6L, 7L, 6L, 6L, 4L, 4L, 6L,
6L, 5L, 1L, 3L, 5L, 6L, 4L, 4L, 5L, 1L, 6L, 2L, 2L, 6L, 4L,
5L, 7L, 1L, 2L, 3L, 7L, 5L, 4L, 7L, 6L, 4L, 6L, 6L, 7L, 6L,
2L, 4L, 7L, 5L, 7L, 5L, 7L, 7L, 7L, 5L, 5L, 4L, 4L, 4L, 5L,
4L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 6L, 7L, 7L, 4L, 2L, 3L, 7L,
7L, 4L, 6L, 4L, 2L, 5L, 6L, 5L, 7L, 5L, 7L, 5L, 2L, 6L, 5L,
6L, 7L, 6L, 7L, 4L, 5L, 4L, 5L, 4L, 6L, 7L, 7L, 4L, 6L, 3L,
6L, 7L, 5L, 7L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L,
7L, 7L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L, 6L, 3L, 5L, 7L, 7L,
6L, 5L, 5L, 7L, 5L, 7L, 3L, 7L, 5L, 5L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Download usage"),
forum = structure(c(5L, 5L, 4L, 1L, 3L, 5L, 2L, 5L, 4L, 7L,
3L, 6L, 2L, 6L, 5L, 7L, 1L, 5L, 3L, 3L, 6L, 1L, 5L, 7L, 5L,
7L, 4L, 3L, 6L, 5L, 7L, 7L, 7L, 7L, 6L, 4L, 7L, 5L, 4L, 6L,
7L, 5L, 6L, 3L, 5L, 7L, 6L, 5L, 6L, 7L, 6L, 6L, 5L, 6L, 3L,
1L, 6L, 7L, 5L, 6L, 4L, 6L, 3L, 7L, 6L, 3L, 6L, 4L, 7L, 5L,
1L, 6L, 7L, 3L, 6L, 6L, 4L, 3L, 7L, 4L, 4L, 5L, 4L, 1L, 6L,
2L, 5L, 5L, 6L, 4L, 2L, 7L, 6L, 2L, 6L, 6L, 7L, 7L, 4L, 4L,
6L, 6L, 6L, 1L, 3L, 6L, 6L, 6L, 3L, 7L, 2L, 7L, 2L, 4L, 4L,
1L, 3L, 4L, 5L, 6L, 6L, 6L, 7L, 7L, 6L, 4L, 6L, 3L, 1L, 2L,
7L, 4L, 2L, 1L, 7L, 4L, 5L, 2L, 4L, 1L, 5L, 7L, 1L, 1L, 5L,
1L, 5L, 1L, 2L, 4L, 5L, 3L, 4L, 4L, 1L, 4L, 2L, 1L, 2L, 6L,
2L, 1L, 6L, 6L, 6L, 2L, 4L, 3L, 5L, 5L, 4L, 4L, 6L, 3L, 7L,
4L, 3L, 5L, 5L, 3L, 1L, 2L, 5L, 4L, 4L, 7L, 5L, 5L, 1L, 4L,
2L, 1L, 7L, 5L, 5L, 6L, 3L, 5L, 5L, 1L, 3L, 2L, 1L, 7L, 1L,
2L, 6L, 2L, 7L, 7L, 5L, 7L, 4L, 3L, 3L, 2L, 6L, 5L, 4L, 6L,
2L, 3L, 5L, 4L, 5L, 6L, 5L, 4L, 5L, 1L, 5L, 1L, 1L, 2L, 2L,
7L, 3L, 6L, 1L, 2L, 3L, 1L, 5L, 2L, 5L, 5L, 4L, 5L, 6L, 6L,
2L, 1L, 6L, 5L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 3L, 2L, 2L, 3L,
6L, 4L, 3L, 6L, 4L, 2L, 5L, 4L, 2L, 4L, 4L, 4L, 3L, 4L, 4L,
1L, 5L, 2L, 1L, 1L, 5L, 1L, 1L, 5L, 7L, 7L, 2L, 4L, 1L, 7L,
4L, 6L, 4L, 4L, 5L, 7L, 6L, 5L, 7L, 6L, 7L, 3L, 7L, 6L, 6L,
6L, 4L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 5L, 6L, 7L, 7L, 7L, 6L,
5L, 7L, 4L, 7L, 7L, 7L, 7L, 6L, 5L, 5L, 7L, 7L, 7L, 6L, 6L,
5L, 3L, 6L, 6L, 5L, 4L, 6L, 5L, 7L, 2L, 4L, 1L, 6L, 5L, 5L,
4L, 7L, 5L, 5L, 4L, 2L, 5L, 5L, 3L, 4L, 4L, 2L, 1L, 2L, 6L,
6L, 5L, 5L, 3L, 5L, 2L, 6L, 3L, 6L, 4L, 4L, 6L, 6L, 6L, 4L,
6L, 7L, 6L, 1L, 6L, 5L, 7L, 7L, 2L, 6L, 3L, 5L, 3L, 5L, 6L,
5L, 2L, 6L, 7L, 2L, 3L, 6L, 5L, 6L, 5L, 4L, 7L, 7L, 6L, 7L,
5L, 4L, 6L, 7L, 7L, 6L, 6L, 7L, 6L, 7L, 4L, 6L, 4L, 7L, 3L,
5L, 4L, 4L, 1L, 3L, 2L, 2L, 3L, 1L, 1L, 5L, 1L, 3L, 4L, 4L,
2L, 5L, 2L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 7L, 4L, 2L, 7L, 4L,
3L, 2L, 1L, 4L, 3L, 7L, 7L, 4L, 6L, 7L, 4L, 3L, 4L, 5L, 1L,
5L, 2L, 6L, 1L, 4L, 2L, 6L, 3L, 6L, 4L, 4L, 4L, 7L, 4L, 6L,
5L, 7L, 4L, 5L, 5L, 5L, 6L, 4L, 6L, 6L, 6L, 7L, 2L, 1L, 4L,
6L, 6L, 4L, 3L, 1L, 4L, 4L, 2L, 5L, 7L, 4L, 4L, 6L, 1L, 4L,
4L, 2L, 5L, 4L, 6L, 6L, 6L, 6L, 7L, 1L, 2L, 1L, 4L, 2L, 5L,
6L, 1L, 1L, 3L, 2L, 2L, 4L, 1L, 1L, 5L, 2L, 5L, 1L, 2L, 6L,
1L, 2L, 5L, 5L, 5L, 2L, 3L, 2L, 4L, 4L, 2L, 6L, 3L, 1L, 2L,
2L, 7L, 4L, 6L, 5L, 7L, 5L, 6L, 7L, 1L, 3L, 4L, 2L, 3L, 5L,
5L, 1L, 3L, 2L, 2L, 1L, 3L, 2L, 1L, 4L, 3L, 2L, 1L, 3L, 5L,
6L, 1L, 4L, 1L, 4L, 4L, 4L, 5L, 4L, 2L, 4L, 4L, 1L, 1L, 1L,
1L, 5L, 5L, 5L, 3L, 7L, 1L, 3L, 2L, 2L, 5L, 4L, 3L, 7L, 3L,
6L, 2L, 4L, 2L, 5L, 1L, 1L, 3L, 7L, 4L, 4L, 6L, 2L, 4L, 3L,
2L, 4L, 6L, 6L, 7L, 3L, 4L, 6L, 6L, 7L, 6L, 2L, 5L, 7L, 5L,
7L, 6L, 7L, 2L, 3L, 3L, 4L, 6L, 5L, 4L, 4L, 1L, 6L, 2L, 7L,
4L, 4L, 1L, 4L, 4L, 3L, 2L, 7L, 6L, 4L, 7L, 3L, 3L, 2L, 3L,
7L, 7L, 7L, 7L, 4L, 4L, 4L, 4L, 2L, 6L, 5L, 7L, 7L, 7L, 6L,
5L, 3L, 2L, 3L, 6L, 2L, 4L, 3L, 1L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Web forums usage"),
socnet = structure(c(6L, 4L, 4L, 1L, 1L, 3L, 2L, 3L, 6L,
4L, 1L, 1L, 2L, 6L, 2L, 2L, 1L, 4L, 2L, 5L, 2L, 2L, 6L, 5L,
2L, 5L, 5L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 1L, 2L, 2L,
1L, 3L, 3L, 1L, 2L, 3L, 4L, 1L, 7L, 6L, 2L, 4L, 3L, 3L, 6L,
2L, 2L, 4L, 4L, 1L, 1L, 1L, 5L, 5L, 5L, 4L, 2L, 1L, 4L, 7L,
5L, 4L, 2L, 4L, 4L, 4L, 2L, 1L, 2L, 1L, 6L, 1L, 1L, 1L, 4L,
6L, 1L, 1L, 6L, 4L, 5L, 1L, 1L, 4L, 4L, 4L, 2L, 1L, 4L, 1L,
1L, 2L, 6L, 1L, 4L, 7L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 6L, 4L,
1L, 1L, 1L, 2L, 7L, 4L, 1L, 4L, 1L, 5L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 1L, 2L, 5L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L,
2L, 1L, 4L, 7L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 6L,
5L, 1L, 5L, 2L, 2L, 5L, 1L, 4L, 4L, 1L, 2L, 1L, 1L, 1L, 1L,
6L, 3L, 1L, 1L, 4L, 1L, 1L, 6L, 5L, 1L, 5L, 5L, 5L, 1L, 2L,
2L, 1L, 2L, 7L, 4L, 2L, 5L, 1L, 1L, 1L, 1L, 6L, 1L, 1L, 2L,
1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 4L, 2L, 7L, 4L, 4L, 2L,
3L, 5L, 5L, 1L, 2L, 4L, 5L, 2L, 6L, 1L, 1L, 2L, 3L, 4L, 2L,
3L, 4L, 5L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 5L, 5L, 2L,
6L, 2L, 1L, 1L, 4L, 2L, 1L, 5L, 1L, 4L, 7L, 5L, 1L, 1L, 1L,
1L, 6L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 6L, 1L, 1L, 1L, 4L, 4L,
1L, 5L, 2L, 1L, 1L, 1L, 5L, 1L, 1L, 5L, 3L, 1L, 2L, 2L, 1L,
7L, 6L, 1L, 2L, 5L, 6L, 1L, 5L, 3L, 6L, 7L, 6L, 2L, 1L, 6L,
4L, 6L, 1L, 2L, 7L, 2L, 2L, 1L, 1L, 2L, 7L, 1L, 4L, 7L, 3L,
5L, 3L, 7L, 6L, 6L, 1L, 1L, 6L, 6L, 6L, 4L, 1L, 2L, 4L, 1L,
3L, 1L, 5L, 4L, 6L, 2L, 4L, 6L, 1L, 5L, 6L, 2L, 6L, 3L, 5L,
5L, 6L, 7L, 6L, 1L, 4L, 7L, 5L, 2L, 1L, 1L, 5L, 7L, 1L, 6L,
4L, 1L, 3L, 6L, 2L, 4L, 6L, 1L, 3L, 6L, 7L, 2L, 3L, 3L, 3L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 2L, 4L, 2L,
6L, 3L, 2L, 4L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 3L, 6L, 2L, 6L,
5L, 5L, 7L, 6L, 1L, 7L, 1L, 2L, 4L, 2L, 7L, 2L, 7L, 3L, 7L,
7L, 6L, 1L, 1L, 3L, 3L, 3L, 6L, 4L, 1L, 4L, 6L, 5L, 4L, 1L,
3L, 1L, 4L, 2L, 5L, 1L, 2L, 1L, 2L, 2L, 5L, 7L, 5L, 3L, 7L,
6L, 2L, 1L, 4L, 3L, 4L, 7L, 1L, 1L, 6L, 4L, 4L, 1L, 2L, 1L,
1L, 1L, 1L, 5L, 1L, 4L, 2L, 2L, 7L, 2L, 1L, 4L, 5L, 1L, 6L,
1L, 2L, 4L, 3L, 1L, 4L, 4L, 2L, 1L, 1L, 6L, 2L, 1L, 1L, 6L,
5L, 2L, 7L, 6L, 1L, 7L, 7L, 5L, 7L, 3L, 1L, 2L, 7L, 1L, 5L,
1L, 6L, 2L, 7L, 2L, 6L, 5L, 5L, 1L, 1L, 2L, 1L, 3L, 4L, 2L,
7L, 6L, 7L, 2L, 5L, 7L, 2L, 7L, 5L, 1L, 3L, 1L, 3L, 5L, 1L,
1L, 5L, 6L, 5L, 7L, 6L, 5L, 7L, 1L, 5L, 5L, 1L, 2L, 1L, 3L,
2L, 2L, 1L, 3L, 6L, 1L, 1L, 5L, 6L, 3L, 6L, 4L, 4L, 6L, 7L,
6L, 7L, 1L, 4L, 7L, 4L, 2L, 3L, 6L, 1L, 3L, 3L, 5L, 1L, 5L,
4L, 4L, 4L, 1L, 7L, 7L, 1L, 4L, 6L, 2L, 2L, 1L, 1L, 5L, 5L,
1L, 1L, 4L, 5L, 3L, 5L, 4L, 1L, 1L, 1L, 4L, 1L, 4L, 6L, 7L,
6L, 6L, 5L, 1L, 7L, 2L, 7L, 5L, 5L, 7L, 4L, 3L, 2L, 6L, 7L,
1L, 1L, 2L, 6L, 4L, 7L, 6L, 6L, 1L, 6L, 7L, 1L, 1L, 7L, 1L,
5L, 7L, 2L, 5L, 6L, 6L, 6L, 5L, 5L, 5L, 7L, 7L, 6L, 7L, 4L,
1L, 7L, 6L, 7L, 5L, 1L, 5L, 6L, 7L, 1L, 1L, 6L, 2L, 3L, 1L,
1L, 6L, 6L, 6L, 5L, 3L, 7L, 1L, 2L, 7L, 4L, 5L, 7L, 7L, 7L,
5L, 5L, 6L, 2L, 2L, 7L, 7L, 4L, 7L, 4L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Social networks usage"),
xxx = structure(c(3L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 3L, 3L,
2L, 4L, 1L, 4L, 3L, 5L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L,
5L, 4L, 2L, 4L, 4L, 4L, 5L, 5L, 4L, 2L, 4L, 3L, 1L, 4L, 4L,
5L, 5L, 3L, 2L, 2L, 2L, 4L, 7L, 4L, 4L, 4L, 4L, 4L, 2L, 1L,
2L, 4L, 6L, 1L, 1L, 1L, 4L, 5L, 3L, 3L, 2L, 1L, 2L, 1L, 2L,
1L, 2L, 4L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 5L, 1L, 4L, 1L, 1L,
1L, 1L, 2L, 4L, 4L, 2L, 4L, 3L, 4L, 5L, 1L, 3L, 4L, 1L, 1L,
2L, 4L, 3L, 4L, 1L, 2L, 1L, 1L, 4L, 4L, 4L, 4L, 6L, 2L, 3L,
1L, 5L, 2L, 1L, 4L, 4L, 6L, 4L, 4L, 2L, 4L, 1L, 2L, 7L, 2L,
5L, 2L, 2L, 3L, 4L, 4L, 1L, 1L, 4L, 3L, 2L, 2L, 1L, 1L, 3L,
3L, 1L, 1L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 5L, 3L, 4L,
6L, 1L, 1L, 5L, 5L, 1L, 1L, 5L, 1L, 7L, 5L, 2L, 2L, 4L, 7L,
1L, 1L, 2L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 4L, 1L, 4L, 4L, 2L,
4L, 3L, 4L, 1L, 1L, 6L, 1L, 2L, 5L, 4L, 4L, 1L, 5L, 4L, 3L,
4L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 5L, 4L, 2L, 5L, 2L,
4L, 4L, 4L, 2L, 4L, 4L, 2L, 2L, 6L, 4L, 5L, 4L, 3L, 1L, 2L,
7L, 3L, 4L, 1L, 6L, 1L, 2L, 4L, 1L, 5L, 2L, 5L, 2L, 4L, 1L,
2L, 2L, 4L, 3L, 1L, 1L, 3L, 7L, 4L, 3L, 6L, 1L, 4L, 4L, 5L,
6L, 1L, 1L, 1L, 5L, 2L, 2L, 1L, 2L, 4L, 4L, 4L, 1L, 3L, 2L,
4L, 2L, 1L, 1L, 2L, 4L, 4L, 4L, 5L, 3L, 1L, 3L, 2L, 1L, 7L,
5L, 5L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 4L, 7L, 4L, 6L,
5L, 3L, 1L, 2L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 5L, 4L, 1L, 4L,
4L, 1L, 4L, 4L, 1L, 4L, 4L, 6L, 4L, 3L, 1L, 2L, 4L, 6L, 4L,
2L, 2L, 1L, 2L, 4L, 2L, 4L, 6L, 3L, 4L, 4L, 6L, 2L, 1L, 3L,
6L, 1L, 3L, 2L, 5L, 4L, 4L, 5L, 2L, 4L, 3L, 7L, 1L, 2L, 5L,
4L, 4L, 6L, 1L, 6L, 3L, 2L, 1L, 6L, 5L, 2L, 5L, 5L, 5L, 1L,
5L, 3L, 6L, 6L, 6L, 2L, 5L, 6L, 6L, 7L, 7L, 3L, 3L, 7L, 6L,
4L, 7L, 5L, 5L, 2L, 2L, 4L, 3L, 7L, 4L, 4L, 1L, 6L, 4L, 7L,
5L, 4L, 6L, 4L, 5L, 4L, 4L, 7L, 5L, 7L, 2L, 6L, 7L, 6L, 4L,
4L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L,
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 7L, 4L,
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 1L, 5L, 2L, 1L, 5L, 1L, 2L, 2L, 2L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L,
1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 2L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
1L, 1L, 4L, 1L, 1L, 1L, 5L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 4L,
1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L,
2L, 2L, 1L, 2L, 1L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 1L,
4L, 1L, 1L, 1L, 1L, 2L, 4L, 2L, 2L), .Label = c("never",
"very rarely", "rarely", "sometimes", "often", "very often",
"always"), class = c("ordered", "factor"), label = "Adult sites usage")), .Names = c("gender",
"age", "dwell", "student", "partner", "edu", "leisure", "net.required",
"net.pay", "net.use", "chatim", "game", "surf", "email", "download",
"forum", "socnet", "xxx"), row.names = c(NA, 709L), class = "data.frame")
## add some random noise
set.seed(0)
ind <- matrix(sample(c(TRUE, FALSE), prod(dim(ius2008)), replace = TRUE, prob = c(.05, .95)), nrow = nrow(ius2008), ncol = ncol(ius2008))
ius2008[ind] <- NA
rm(ind)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.