منابع مشابه
Visualization of missing values using the R-package VIM
This paper introduces new tools for the visualization of missing values. The tools can be used for exploring the data and the structure of the missing values. Depending on this structure, the tools can be helpful for identifying the mechanism generating the missings. This knowledge is important for selecting an appropriate imputation method to reliably estimate the missing values. The visualiza...
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This article introduces yaImpute, an R package for nearest neighbor search and imputation. Although nearest neighbor imputation is used in a host of disciplines, the methods implemented in the yaImpute package are tailored to imputation-based forest attribute estimation and mapping. The impetus to writing the yaImpute is a growing interest in nearest neighbor imputation methods for spatially ex...
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The package VIM (visualization and imputation of missing values) [Templ et al., 2011a] is developed to explore and analyze the structure of missing or imputed values in data using graphical methods. Getting knowledge about the structure is helpful to identify the mechanism, which is generating the missings, respectively errors, which may have happened in the imputation process. Furthermore, it ...
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Package VIM allows to explore and to analyze the structure of missing values in data, as well as to produce high-quality graphics for publications. This paper illustrates an application of VIM to a highly complex data set – the European Statistics on Income and Living Conditions (EU-SILC). 1 The graphical user interface of VIM The graphical user interface (GUI) has been developed using the R pa...
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This document gives an introduction to the R-Package ’surveillance’ containing tools for outbreak detection in routinely collected surveillance data. The package contains an implementation of the procedures described by ̃Stroup et ̃al. (1989), Farrington et ̃al. (1996) and the system used at the Robert Koch Institute, Germany. For evaluation purposes, the package contains example data sets and fun...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2016
ISSN: 1548-7660
DOI: 10.18637/jss.v074.i07