thinning: Thinning the Original Data

In SOCR/DataSifter: Lite Version of DataSifter Algorithm to Create Privacy-preserving Data

Description

Delete features in the original data with a majority of data missing.

Usage

thinning(data, col_preserve = 0.5, col_pct = 0.7)

Arguments

data	Original dataset
col_preserve	The maximum percentage of number of columns can be deleted due to massive missingness.
col_pct	Criterion for column deletion due to massive missingness. If missing percentage is larger than this threshold, delete the corresponding column.

Value

Returns a list of two elements. "data.new" Returns data after deleting non-informative columns. "misscol" Returns olumns deleted by the procedure.

SOCR/DataSifter documentation built on Dec. 11, 2021, 2:55 p.m.