DanishWelfare.RdData from the Danish Welfare Study.
data("DanishWelfare")A data frame with 180 observations and 5 variables.
frequency.
factor indicating daily alcohol consumption: less than 1 unit (<1), 1-2 units (1-2) or more than 2 units (>2). 1 unit is approximately 1 bottle of beer or 4cl 40% alcohol.
factor indicating income group in 1000 DKK (0-50, 50-100, 100-150, >150).
factor indicating marriage status (Widow, Married, Unmarried).
factor indicating urbanization: Copenhagen (Copenhagen), Suburbian Copenhagen (SubCopenhagen), three largest cities (LargeCity), other cities (City), countryside (Country).
E. B. Andersen (1991), The Statistical Analysis of Categorical Data. 2nd edition. Springer-Verlag, Berlin.
E. B. Andersen (1991), The Statistical Analysis of Categorical Data, page 205.
data("DanishWelfare")
ftable(xtabs(Freq ~ ., data = DanishWelfare))
#> Urban Copenhagen SubCopenhagen LargeCity City Country
#> Alcohol Income Status
#> <1 0-50 Widow 1 4 1 8 6
#> Married 14 8 41 100 175
#> Unmarried 6 1 2 6 9
#> 50-100 Widow 8 2 7 14 5
#> Married 42 51 62 234 255
#> Unmarried 7 5 9 20 27
#> 100-150 Widow 2 3 1 5 2
#> Married 21 30 23 87 77
#> Unmarried 3 2 1 12 4
#> >150 Widow 42 29 17 95 46
#> Married 24 30 50 167 232
#> Unmarried 33 24 15 64 68
#> 1-2 0-50 Widow 3 0 1 4 2
#> Married 15 7 15 25 48
#> Unmarried 2 3 9 9 7
#> 50-100 Widow 1 1 3 8 4
#> Married 39 59 68 172 143
#> Unmarried 12 3 11 20 23
#> 100-150 Widow 5 4 1 9 4
#> Married 32 68 43 128 86
#> Unmarried 6 10 5 21 15
#> >150 Widow 26 34 14 48 24
#> Married 43 76 70 198 136
#> Unmarried 36 23 48 89 64
#> >2 0-50 Widow 2 0 2 1 0
#> Married 1 2 2 7 7
#> Unmarried 3 0 1 5 1
#> 50-100 Widow 3 0 2 1 3
#> Married 14 21 14 38 35
#> Unmarried 2 0 3 12 13
#> 100-150 Widow 2 1 1 1 0
#> Married 20 31 10 36 21
#> Unmarried 0 2 3 9 7
#> >150 Widow 21 13 5 20 8
#> Married 23 47 21 53 36
#> Unmarried 38 20 13 39 26