A survey of 300 tea drinkers, used here for its three batteries of yes/no items – the shape a
multiple-answer question ("which of these apply to you?") arrives in. Six items say when people
drink tea, six say where, and fourteen say what they think it does for them. See
vignette("tabxplor") for what a battery does in a table, and score_from_lv1() for turning one
into a single summed score.
Format
A tibble of 300 rows and 36 columns. The ones the vignettes use:
- breakfast, tea.time, evening, lunch, dinner, always
When do you drink tea?
- home, work, tearoom, friends, resto, pub
Where do you drink tea?
- Sport
Do you play a sport?
- SPC
Socio-professional category, 7 levels.
- sex
F or M.
The other columns describe the tea itself (Tea, How, sugar, how, where, price,
frequency), the drinker (age, age_Q), and what they associate tea with (healthy,
relaxing, exciting, slimming, and ten more). Every two-level item reads "yes" first.
Source
The complete tea data of the FactoMineR package (Francois Husson, Julie Josse,
Sebastien Le and Jeremy Mazet), GPL (>= 2) – with thanks. tabxplor's copy changes only the
level order: in each yes/no item the "yes" answer comes first, and its label loses the
separator dot the original spells it with ("Not.tea time" becomes "Not tea time").
Examples
tab(facto_tea, SPC, c(breakfast, evening), pct = "row", levels = "first", na = "drop")
#> # A tabxplor tab: 8 × 4
#> SPC n breakfast_lv evening_lv
#> <n> <row%> <row%>
#> 1 employee 59 49% 44%
#> 2 middle 40 60% 30%
#> 3 non-worker 64 44% 20%
#> 4 other worker 20 40% 40%
#> 5 senior 35 63% 31%
#> 6 student 70 43% 44%
#> 7 workman 12 25% 17%
#> 8 Total 300 48% 34%