ss16pusa_sample_zeros_miss {NPBayesImputeCat}

Example dataframe for input categorical data with structural zeros (with missing values).

Description

Example dataframe for input categorical data with structural zeros (with missing values). It contains 1000 observations and 5 variables.

[,1]	AGEP	age	7 levels: 16; 17; [18, 24]; [25, 35]; [36, 50]; [51, 70]; (70, ).
[,2]	MAR	marital status	5 levels: Married; Widowed; Divorced; Separated;
			Never married.
[,3]	SCHL	educational attainment	9 levels: Up to K0; Some K12, no diploma;
			High school diploma or GED; Some college, no degree;
			Associate's degree; Bachelor's degree; Master's degree;
			Professional degree; Doctorate degree.
[,4]	SEX	sex	2 levels: Male; Female.
[,5]	WKL	When last worked	3 levels: Within the last 12 months; 1-5 years ago;
			Over 5 years ago or never worked.