Detecting missing values mechanisms is usually done by statistical tests or
models. Visualization of missing and imputed values can support the test
decision, but also reveals more details about the data structure. Most
notably, statistical requirements for a test can be checked graphically, and
problems like outliers or skewed data distributions can be discovered.
Furthermore, the included plot methods may also be able to detect missing
values mechanisms in the first place.A graphical user interface available in the package VIMGUI allows an easy
handling of the plot methods. In addition, VIM can be used for data
from essentially any field.
ll{ Package: VIM
Version: 3.0.3
Date: 2013-01-09
Depends: R (>= 2.10),e1071,car, colorspace, nnet,
robustbase, tcltk, tkrplot, sp, vcd, Rcpp
Imports: car, colorspace,
grDevices, robustbase, stats, tcltk, sp, utils, vcd
License: GPL (>=
2)
URL: http://cran.r-project.org/package=VIM
}