Function reference • synthpop

All functions

SD2011: Social Diagnosis 2011 - Objective and Subjective Quality of Life in Poland

codebook.syn(): Makes a codebook from a data frame

compare(): Comparison of synthesised and observed data

compare(<fit.synds>) print(<compare.fit.synds>): Compare model estimates based on synthesised and observed data

compare(<synds>) compare(<data.frame>) compare(<list>) print(<compare.synds>): Compare univariate distributions of synthesised and observed data

glm.synds() lm.synds() print(<fit.synds>): Fitting (generalized) linear models to synthetic data

multi.compare(): Multivariate comparison of synthesised and observed data

multinom.synds(): Fitting multinomial models to synthetic data

numtocat.syn(): Group numeric variables before synthesis

polr.synds(): Fitting ordered logistic models to synthetic data

read.obs(): Importing original data sets form external files

replicated.uniques(): Replications in synthetic data

sdc(): Tools for statistical disclosure control (sdc)

summary(<fit.synds>) print(<summary.fit.synds>): Inference from synthetic data

summary(<synds>) print(<summary.synds>): Synthetic data object summaries

syn() syn.strata() print(<synds>): Generating synthetic data sets

syn.bag(): Synthesis with bagging

syn.ctree() syn.cart(): Synthesis with classification and regression trees (CART)

syn.catall(): Synthesis of a group of categorical variables from a saturated model

syn.ipf(): Synthesis of a group of categorical variables by iterative proportional fitting

syn.lognorm() syn.sqrtnorm() syn.cubertnorm(): Synthesis by linear regression after transformation of a dependent variable

syn.logreg(): Synthesis by logistic regression

syn.nested(): Synthesis for a variable nested within another variable.

syn.norm(): Synthesis by linear regression

syn.normrank(): Synthesis by normal linear regression preserving the marginal distribution

syn.passive(): Passive synthesis

syn.pmm(): Synthesis by predictive mean matching

syn.polr(): Synthesis by ordered polytomous regression

syn.polyreg(): Synthesis by unordered polytomous regression

syn.ranger(): Synthesis with a fast implementation of random forests

syn.rf(): Synthesis with random forest

syn.sample(): Synthesis by simple random sampling

syn.satcat(): Synthesis from a saturated model based on all combinations of the predictor variables.

syn.smooth(): syn.smooth

syn.survctree(): Synthesis of survival time by classification and regression trees (CART)

synthpop-package synthpop: Generating synthetic versions of sensitive microdata for statistical disclosure control

utility.gen(<synds>) utility.gen(<data.frame>) utility.gen(<list>) print(<utility.gen>): Distributional comparison of synthesised and observed data

utility.tab(<synds>) utility.tab(<data.frame>) utility.tab(<list>) print(<utility.tab>): Tabular utility

utility.tables(<synds>) utility.tables(<data.frame>) utility.tables(<list>) print(<utility.tables>): Tables and plots of utility measures

write.syn(): Exporting synthetic data sets to external files