X: Example dataframe for input categorical data with missing...

In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data

Example dataframe for input categorical data with missing values based on the NYMockexample dataset.

Description

Example dataframe for input categorical data with missing values based on the NYMockexample dataset. It contains 2000 observations and 10 variables.

[,1]	OWNERSHIP	ownership of dwelling	3 levels: N/A; Owned or being bought (loan);
			Rented.
[,2]	MORTGAGE	mortgate status	4 levels: N/A; No, owned free and clear;
			Yes, mortgaged / deed of trust or similar debt;
			Yes, contract to purchase.
[,3]	AGE	age	9 levels: [0, 14]; 15; 16; 17; [18, 24]; [25, 35]; [36, 50];
			9 [51, 70]; [71, ).
[,4]	SEX	sex	2 levels: Male; Female.
[,5]	MARST	martial status	6 levels: Married, spouse present; Married, spouse absent;
			Separated; Divorced; Widowed; Never married / single.
[,6]	RACESING	single race identification	5 levels: White; Black; American Indian / Alaska Native;
			Asian and / or Pacific Islander; Other race, non-Hispanic.
[,7]	EDUC	educational attainment	11 levels: N/A or no schooling; Nursery school to grade 4;
			Grade 5, 6, 7, or 8; Grade 9; Grade 10; Grade 11;
			Grade 12; 1 year of college; 2 years of college;
			4 years of college; 5+ years of college.
[,8]	EMPSTAT	employment status	4 levels: N/A; Employed; Unemployed; Not in labor force.
[,9]	DISABWRK	work disability status	3 levels: N/A; No disability that affects work;
			Disability causes difficulty working.
[,10]	VESTAT	veteran status	3 levels: N/A; Not a veteran; Veteran.

NPBayesImputeCat documentation built on Oct. 3, 2022, 5:05 p.m.