ss16pusa_ds_MCZ: Example dataframe for structrual zeros based on the...
In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data
ss16pusa_ds_MCZ R Documentation
Example dataframe for structrual zeros based on the ss16pusa_sample_zeros dataset.
Description
Example dataframe for structrual zeros based on the ss16pusa_sample_zeros dataset. It contains 8 structural zero cases with 5 variables.
[,1] AGEP = 16 and SCHL = Bachelor's degree
[,2] AGEP = 16 and SCHL = Doctorate degree
[,3] AGEP = 16 and SCHL = Master's degree
[,4] AGEP = 16 and SCHL = Professional degree
[,5] AGEP = 17 and SCHL = Bachelor's degree
[,6] AGEP = 17 and SCHL = Doctorate degree
[,7] AGEP = 17 and SCHL = Master's degree
[,8] AGEP = 17 and SCHL = Professional degree
NPBayesImputeCat documentation built on Oct. 3, 2022, 5:05 p.m.
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| ss16pusa_ds_MCZ | R Documentation |
Example dataframe for structrual zeros based on the ss16pusa_sample_zeros dataset.
Description
Example dataframe for structrual zeros based on the ss16pusa_sample_zeros dataset. It contains 8 structural zero cases with 5 variables.
| [,1] | AGEP = 16 and SCHL = Bachelor's degree |
| [,2] | AGEP = 16 and SCHL = Doctorate degree |
| [,3] | AGEP = 16 and SCHL = Master's degree |
| [,4] | AGEP = 16 and SCHL = Professional degree |
| [,5] | AGEP = 17 and SCHL = Bachelor's degree |
| [,6] | AGEP = 17 and SCHL = Doctorate degree |
| [,7] | AGEP = 17 and SCHL = Master's degree |
| [,8] | AGEP = 17 and SCHL = Professional degree |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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