A data frame containing 1002 rows and 7 variables measured on various scales, including binary and ordered cateogrical (with varying numbers of categories). There are also missing values in each variable
Inc Income of the respondent in 1000s of dollars, binned into 21 ordered categories.
DEG Highest degree ever obtained (none, HS, Associates, Bachelors, or Graduate)
CHILD Number of children ever had.
PINC Financial status of respondent's parents when respondent was 16 (on a 5-point scale).
PDEG Maximum of mother's and father's highest degree
PCHILD Number of siblings of the respondent plus one
AGE Age of the respondent in years.
data("gss")
A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale (Fowlkes et al. 1988) . The variable descriptions were copied from section 4, Hoff (2007)
Fowlkes EB, Freeny AE, Landwehr JM (1988).
“Evaluating logistic models for large contingency tables.”
Journal of the American Statistical Association, 83(403), 611--622.
Hoff PD (2007).
“Extending the rank likelihood for semiparametric copula estimation.”
The Annals of Applied Statistics, 1(1), 265--283.
data("gss")