happy {CA3variants}

Three-way contingency table

Description

This three-way contingency table was generated from the database of the European Social Survey 2016. The variables that we selected for our analysis are Education, Households and Happiness.

Usage

data(happy)

Format

The format is: row names [1:4] "ED1", "ED2", "ED3", "ED45" col names [1:6] "HS1", "HS2", "HS3", "HS4", "HS5", "HS>5" tube names [1:4] "low", "middle", "high", "very-high"

References

Beh EJ and Lombardo R (2014) Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons.

Examples

happy <-
structure(c(325, 411, 793, 602, 239, 374, 827, 583, 63, 
181, 361, 303, 42, 129, 229, 224, 16, 49, 89, 54, 
11, 37, 31, 21, 357, 477, 1049, 929, 327, 610, 1447, 
1446, 115, 303, 763, 832, 64, 250, 591, 638, 35, 105, 
183, 185, 15, 56, 99, 71, 265, 327, 769, 928, 342, 
565, 1461, 1808, 104, 314, 768, 1006, 69, 312, 729, 
977, 21, 122, 215, 362, 14, 57, 126, 129, 214, 241, 
554, 660, 419, 561, 1467, 1861, 130, 290, 786, 938, 
89, 319, 741, 1022, 36, 121, 289, 408, 35, 87, 153, 
171), .Dim = c(4, 6, 4), .Dimnames = list(c("ED1", 
"ED2", "ED3", "ED45"), c("HS1", "HS2", "HS3", "HS4", "HS5", "HS>5"
), c("low", "middle", "high", "very-high")))
dim(happy)