Learn R Programming

⚠️There's a newer version (6.2.2) of this package.Take me there.

VIM (version 4.7.0)

Visualization and Imputation of Missing Values

Description

New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.

Copy Link

Version

Install

install.packages('VIM')

Monthly Downloads

16,871

Version

4.7.0

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Matthias Templ

Last Published

April 11th, 2017

Functions in VIM (4.7.0)

colormapMiss

Colored map with information about missing/imputed values
countInf

Count number of infinite or missing values
chorizonDL

C-horizon of the Kola data with missing values
colSequence

HCL and RGB color sequences
SBS5242

Synthetic subset of the Austrian structural business statistics data
VIM-package

Visualization and Imputation of Missing Values
aggr

Aggregations for missing/imputed values
alphablend

Alphablending for colors
barMiss

Barplot with information about missing/imputed values
bgmap

Backgound map
marginmatrix

Marginplot Matrix
marginplot

Scatterplot with additional information in the margins
growdotMiss

Growing dot map with information about missing/imputed values
histMiss

Histogram with information about missing/imputed values
rugNA

Rug representation of missing/imputed values
scattJitt

Bivariate jitter plot
tao

Tropical Atmosphere Ocean (TAO) project data
testdata

Simulated data set for testing purpose
pbox

Parallel boxplots with information about missing/imputed values
prepare

Transformation and standardization
kola.background

Background map for the Kola project data
mapMiss

Map with information about missing/imputed values
sleep

Mammal sleep data
spineMiss

Spineplot with information about missing/imputed values
irmi

Iterative robust model-based imputation (IRMI)
kNN

k-Nearest Neighbour Imputation
pairsVIM

Scatterplot Matrices
parcoordMiss

Parallel coordinate plot with information about missing/imputed values
scattMiss

Scatterplot with information about missing/imputed values
scattmatrixMiss

Scatterplot matrix with information about missing/imputed values
matrixplot

Matrix plot
mosaicMiss

Mosaic plot with information about missing/imputed values
vmGUIenvir

Environment for the GUI for Visualization and Imputation of Missing Values
hotdeck

Hot-Deck Imputation
initialise

Initialization of missing values
print.summary.aggr

Print method for objects of class summary.aggr
regressionImp

Regression Imputation