RegSDCnew {RegSDC} | R Documentation |
Regression-based SDC Tools - Scores from new data
Description
Implementation of equation 12 in the paper.
Usage
RegSDCnew(y, yNew, x = NULL, doSVD = FALSE, ensureIntercept = TRUE)
Arguments
y |
Matrix of confidential variables |
yNew |
Matrix of y-data for new scores |
x |
Matrix of non-confidential variables |
doSVD |
SVD when TRUE and QR when FALSE |
ensureIntercept |
Whether to ensure/include a constant term. Non-NULL x is subjected to |
Details
doSVD has effect on decomposition of y and yNew. Input matrices are subjected to EnsureMatrix
.
Value
Generated version of y
Author(s)
Øyvind Langsrud
Examples
x <- matrix(1:5, 5, 1)
y <- matrix(rnorm(15) + 1:15, 5, 3)
# Same as IPSO (RegSDCipso)
RegSDCnew(y, matrix(rnorm(15), 5, 3), x)
# Close to y
RegSDCnew(y, y + 0.001 * matrix(rnorm(15), 5, 3), x)
[Package RegSDC version 0.7.0 Index]