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2012 | 269 |

Article title

Imputation of Missing Data Using R Package

Content

Title variants

EN
Imputacja brakujących danych z wykorzystaniem środowiska R

Languages of publication

Abstracts

EN
Missing data are quite common in practical applications of statistical methods. Imputation is general statistical method for the analysis of incomplete data sets. The goal of the paper is to review selected imputation techniques. Special attention is paid to methods implemented in some packages working in the R environment. An example is presented to show how to handle missing values using a few procedures of single and multiple imputation implemented in R.

Year

Volume

269

Physical description

Dates

published
2012

References

Document Type

Publication order reference

Identifiers

URI
http://hdl.handle.net/11089/1893

YADDA identifier

bwmeta1.element.hdl_11089_1893
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