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Visually exploring missing values in multivariable data using a graphical user interface
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نویسنده
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cheng x. ,cook d. ,hofmann h.
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منبع
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journal of statistical software - 2015 - دوره : 68 - شماره : 0
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چکیده
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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. © 2015,american statistical association. all rights reserved.
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کلیدواژه
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Data visualization; Exploratory data analysis; Graphical user interface; Imputation; Missing values; Statistical graphics
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آدرس
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department of mathematics,university of nebraska at omaha,225 durham science center,omaha,ne 68182, United States, department of econometrics and business statistics,monash university,e869 menzies building,20 chancellors walk,clayton,vic 3800, Australia, department of statistics and statistical laboratory,iowa state university,2413 snedecor hall,ames,ia 50011, United States
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Authors
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