incons: Detect inconsistencies in 1:1 mapping

In preputils: Utilities for Preparation of Data Analysis

Description

In properly normalized data bases, no inconsistencies should be present. In real world data however ID mappings or data base key candidates are repeated over and over across observations, especially in mult centric studies with basic research data. incons tries to detect and flag these mapping discrepanices

Usage

incons(x, y, printproblems=FALSE)

Arguments

x,y	vectors of equal length, holding the mapping values, sepearated by ","
printproblems	Should a table of found problems be printed in addition to the returned flag?

Details

incons assumes a 1:1 mapping between provided variables, as is commonly the case for example in ID translation steps

Value

A named vector indicating whether ambiguous mapping does occur (TRUE) or mapping is clean (FALSE)

Examples

    id1 = c(1,2,2,3,4)
    id2 = c("a","b","c","d","d")
    ambiguous <- incons(id1,id2,print=TRUE)
    data.frame(id1,id2,ambiguous)

preputils documentation built on July 1, 2020, 5:35 p.m.