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https://doi.org/10.21256/zhaw-4233| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Imputation with the R Package VIM |
| Autor/-in: | Kowarik, Alexander Templ, Matthias |
| DOI: | 10.21256/zhaw-4233 10.18637/jss.v074.i07 |
| Erschienen in: | Journal of Statistical Software |
| Band(Heft): | 74 |
| Heft: | 7 |
| Seite(n): | 1 |
| Seiten bis: | 16 |
| Erscheinungsdatum: | 2016 |
| Verlag / Hrsg. Institution: | UCLA, Dept. of Statistics |
| ISSN: | 1548-7660 |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | The package VIM is developed to explore and analyze the structure of missing values in data using visualization methods, to impute these missing values with the built-in imputation methods and to verify the imputation process using visualization tools, as well as to produce high-quality graphics for publications. This article focuses on the different imputation techniques available in the package. Four different imputation methods are currently implemented in VIM, namely hot-deck imputation, k-nearest neighbor imputation, regression imputation and iterative robust model-based imputation. All of these methods are implemented in a flexible manner with many options for customization. Furthermore in this article practical examples are provided to highlight the use of the implemented methods on real-world applications. In addition, the graphical user interface of VIM has been re-implemented from scratch resulting in the package VIMGUI to enable users without extensive R skills to access these imputation and visualization methods. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/5687 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 2.0: Namensnennung 2.0 Generic |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| v74i07 (1).pdf | 457.83 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Kowarik, A., & Templ, M. (2016). Imputation with the R Package VIM. Journal of Statistical Software, 74(7), 1–16. https://doi.org/10.21256/zhaw-4233
Kowarik, A. and Templ, M. (2016) ‘Imputation with the R Package VIM’, Journal of Statistical Software, 74(7), pp. 1–16. Available at: https://doi.org/10.21256/zhaw-4233.
A. Kowarik and M. Templ, “Imputation with the R Package VIM,” Journal of Statistical Software, vol. 74, no. 7, pp. 1–16, 2016, doi: 10.21256/zhaw-4233.
KOWARIK, Alexander und Matthias TEMPL, 2016. Imputation with the R Package VIM. Journal of Statistical Software. 2016. Bd. 74, Nr. 7, S. 1–16. DOI 10.21256/zhaw-4233
Kowarik, Alexander, and Matthias Templ. 2016. “Imputation with the R Package VIM.” Journal of Statistical Software 74 (7): 1–16. https://doi.org/10.21256/zhaw-4233.
Kowarik, Alexander, and Matthias Templ. “Imputation with the R Package VIM.” Journal of Statistical Software, vol. 74, no. 7, 2016, pp. 1–16, https://doi.org/10.21256/zhaw-4233.
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