A GUI for Missing Data Exploration

Provides numeric and graphical summaries for the missing values from both categorical and quantitative variables. A variety of imputation methods are applied, including the univariate imputations like fixed or random values, multivariate imputations like the nearest neighbors and multiple imputations, and imputations conditioned on a categorical variable.


A GUI for Missing Data Exploration

Install

GTK+ is required to install this package. To install GTK+, try the following line in R:

install.packages('RGtk2')

If any error occurs, then run the above line again. If GTK+ can still not be installed, visit http://www.gtk.org/download/ and install GTK+ 2.x. (For Mac OS users, visit http://r.research.att.com/ to get the recent GTK+ 2.x framework binary.) Then run the above R code again.

After installing the RGtk2 package, run

install.packages('MissingDataGUI')

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("MissingDataGUI")

0.2-5 by Xiaoyue Cheng, 10 years ago


Browse source code at https://github.com/cran/MissingDataGUI


Authors: Xiaoyue Cheng , Dianne Cook , Heike Hofmann


Documentation:   PDF Manual  


GPL (>= 2.0) license


Imports GGally, cairoDevice, grid, reshape

Depends on gWidgetsRGtk2, ggplot2

Suggests Hmisc, norm, mice, mi


See at CRAN