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deducorrect (version 1.3.7)

Deductive Correction, Deductive Imputation, and Deterministic Correction

Description

A collection of methods for automated data cleaning where all actions are logged.

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Install

install.packages('deducorrect')

Monthly Downloads

454

Version

1.3.7

License

GPL-3

Issues

0

Pull Requests

0

Stars

8

Forks

1

Maintainer

Mark der Loo

Last Published

July 15th, 2015

Functions in deducorrect (1.3.7)

deductiveLevels

Derive imputation values for categorical data
correctTypos

Correct records under linear restrictions using typographical error suggestions
deductiveZeros

Find out which variables can deductively be imputed with 0
status

Create empty status vector
getUsername

Get name of R user.
correctionRules

Rules for deterministic correction
newdeducorrect

Generate an S3 deducorrect object
imputess

Impute values from solution space
solSpace

Solution space for missing values under equality constraints
raghavachari

Determine if a matrix is unimodular using recursive Raghavachari criterium
damerauLevenshteinDistance

Calculate the Damerau Levenshtein Distance between two strings
scapegoat

Scapegoat algorithm
hellerTompkins

Determine if a matrix is totally unimodular using Heller and Tompkins criterium.
deducorrect-package

Deductive correction methods for sign, rounding and typing errors
deducorrect-object

deducorrect object
reduceMatrix

Apply reduction method from Scholtus (2008)
isTotallyUnimodular

Test for total unimodularity of a matrix.
getSignCorrection

workhorse for correctSigns
allTotallyUnimodular

Test if a list of matrices are all unimodular
applyFix

Apply flips and swaps to a record.
deduImpute

Deductive imputation of numerical or categorical values
correctRounding

Correct records under linear restrictions for rounding errors
correctWithRules

Deterministic correction
getTypoCorrection

Check record validity and suggest typo corrections
correctSigns

Correct sign errors and value interchanges in data records
tree

Solve an optimization problem using a tree algorithm as described in Scholtus (2009)