文章基本信息

标题：Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface
本地全文：下载
作者：Xiaoyue Cheng ; Dianne Cook ; Heike Hofmann 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2015
卷号：68
期号：1
页码：1-23
语种：English
出版社：University of California, Los Angeles
摘要：Missing values are common in data, and usually require attention in order to conduct the statistical analysis. One of the first steps is to explore the structure of the missing values, and how missingness relates to the other collected variables. This article describes an R package, that provides a graphical user interface (GUI) designed to help explore the missing data structure and to examine the results of different imputation methods. The GUI provides numerical and graphical summaries conditional on missingness, and includes imputations using fixed values, multiple imputations and nearest neighbors.
关键词：missing values;imputation;exploratory data analysis;statistical graphics;data visualization;graphical user interface