Package: errorlocate 1.1.3

Edwin de Jonge

errorlocate: Locate Errors with Validation Rules

Errors in data can be located and removed using validation rules from package 'validate'. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, chapter 7.

Authors:Edwin de Jonge [aut, cre], Mark van der Loo [aut]

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manual.pdf |manual.html
card.svg |card.png
errorlocate/json (API)
NEWS

# Install 'errorlocate' in R:
install.packages('errorlocate', repos = c('https://data-cleaning.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/data-cleaning/errorlocate/issues

On CRAN:

Conda:

data-cleaningerrorsinvalidation

6.82 score 22 stars 75 scripts 391 downloads 10 exports 4 dependencies

Last updated from:92dc0f75a1. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING141
source / vignettesOK164
linux-release-x86_64WARNING153
macos-release-arm64WARNING83
macos-oldrel-arm64WARNING105
windows-develWARNING85
windows-releaseWARNING77
windows-oldrelWARNING93
wasm-releaseOK98

Exports:add_noiseerrors_removedexpand_weightsinspect_mipis_categoricalis_conditionalis_linearlocate_errorsmiprulesreplace_errors

Dependencies:lpSolveAPIsettingsvalidateyaml

Find errors in data

Rendered fromerrorlocate.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-12-10
Started: 2022-03-16

Inspecting the errorlocate Mixed Integer Program

Rendered frominspect_mip.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2021-05-03
Started: 2020-11-21

Readme and manuals

Help Manual

Help pageTopics
Find errors in data given a set of validation rules.errorlocate-package errorlocate
Add (a small amount of) noiseadd_noise
Base class for class locate errors based on rules and dataErrorLocalizer-class
Error location objectcreate_errorlocation errorlocation-class
Get location of removed errors from a 'cleaned' data seterrors_removed
Create a weight matrixexpand_weights
Fellegi-Holt ErrorlocalizerFHLocalizer-class fh_localizer
Inspect the MIP problem formulationinspect_mip
Check if rules are categoricalis_categorical
Check if rules are conditional rulesis_conditional
Check which rules are linear rules.is_linear
Find errors in datalocate_errors locate_errors,data.frame,ErrorLocalizer-method locate_errors,data.frame,validator-method
Create a mip object from a validator objectmiprules MipRules-class
Replace erroneous fields with NA or a suggested valuereplace_errors replace_errors,data.frame,ErrorLocalizer-method replace_errors,data.frame,errorlocation-method replace_errors,data.frame,validator-method
Translate linear rules into an LP problemtranslate_mip_lp