Tools and Tests for Experiments with Partially Synthetic Data Sets

Documentation for package ‘SynthTools’ version 1.0.1

ContCI	Confidence intervals and standard errors of multiple imputation for a specific imputed continuous variable.
dataComp	Checking for equality in the features of two data sets.
logicCheck	Checking for logical consistency between two categorical variables in a synthesized data set.
oneCatCI	Confidence intervals and standard errors for one synthetic categorical variable of derived with multiply imputed datasets.
pertRates	Calculates perturbation rates of overall data set and specific variables.
PPA	Characteristics of 1000 People in Pennsylvania.
PPAm5	A list containing 5 partially synthetic data sets.
PPAps1	Characteristics of 1000 People in Pennsylvania, partially synthetic (set 1).
PPAps2	Characteristics of 1000 People in Pennsylvania, partially synthetic (set 2).
PPAps3	Characteristics of 1000 People in Pennsylvania, partially synthetic (set 3).
PPAps4	Characteristics of 1000 People in Pennsylvania, partially synthetic (set 4).
PPAps5	Characteristics of 1000 People in Pennsylvania, partially synthetic (set 5).
twoCatCI	Confidence intervals and standard errors for the cross-tabulation of two categorical variables of derived with multiply imputed datasets.