dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R

Data cleaning and validation are important steps in any data analysis, as the validity of the conclusions from the analysis hinges on the quality of the input data. Mistakes in the data can arise for any number of reasons, including erroneous codings, malfunctioning measurement equipment, and incons...

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Bibliographic Details
Main Authors: Anne Helby Petersen, Claus Thorn Ekstrøm
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2019-07-01
Series:Journal of Statistical Software
Subjects:
r
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2976