syn.lognorm

syn.sqrtnorm

syn.cubertnorm

an original data vector of length <code>n</code>.

a matrix (<code>n</code> x <code>p</code>) of original covariates.

a matrix (<code>k</code> x <code>p</code>) of synthesised covariates.

a logical value specifying whether proper synthesis 
    should be conducted. See details.

proper


  Generates univariate synthetic data using linear regression
  of an outcome variable transformed by natural logarithm (<code>lognorm</code>), 
  square root (<code>sqrtnorm</code>) or cube root (<code>cubertnorm</code>).


datagen

syn.lognorm, syn.sqrtnorm, syn.cubertnorm

A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data.

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

Description

Usage

Arguments

Value

Details

See Also