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VIM (version 3.0.3.1)

Visualization and Imputation of Missing Values

Description

This package introduces new tools for the visualization of missing and/or imputed values, 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 missings 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 allows an easy handling of the implemented plot methods.

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Version

Install

install.packages('VIM')

Monthly Downloads

19,455

Version

3.0.3.1

License

GPL (>= 2)

Maintainer

Matthias Templ

Last Published

April 11th, 2013

Functions in VIM (3.0.3.1)

kola.background

Background map for the Kola project data
prepare

Transformation and standardization
kNN

k-Nearest Neighbour Imputation
marginplot

Scatterplot with additional information in the margins
alphablend

Alphablending for colors
barMiss

Barplot with information about missing/imputed values
testdata

Simulated data set for testing purpose
count

Count number of infinite or missing values
VIM-package

Visualization and Imputation of Missing Values
histMiss

Histogram with information about missing/imputed values
rugNA

Rug representation of missing/imputed values
spineMiss

Spineplot with information about missing/imputed values
chorizonDL

C-horizon of the Kola data with missing values
growdotMiss

Growing dot map with information about missing/imputed values
print.summary.aggr

Print method for objects of class summary.aggr
marginmatrix

Marginplot Matrix
pbox

Parallel boxplots with information about missing/imputed values
sleep

Mammal sleep data
summary.aggr

Summary method for objects of class aggr
parcoordMiss

Parallel coordinate plot with information about missing/imputed values
colormapMiss

Colored map with information about missing/imputed values
SBS5242

Synthetic subset of the Austrian structural business statistics data
mosaicMiss

Mosaic plot with information about missing/imputed values
hotdeck

Hot-Deck Imputation
tao

Tropical Atmosphere Ocean (TAO) project data
scattJitt

Bivariate jitter plot
irmi

Iterative robust model-based imputation (IRMI)
matrixplot

Matrix plot
mapMiss

Map with information about missing/imputed values
pairsVIM

Scatterplot Matrices
scattMiss

Scatterplot with information about missing/imputed values
aggr

Aggregations for missing/imputed values
bgmap

Backgound map
initialise

Initialization of missing values
vmGUImenu

GUI for Visualization and Imputation of Missing Values
colSequence

HCL and RGB color sequences
scattmatrixMiss

Scatterplot matrix with information about missing/imputed values
print.aggr

Print method for objects of class aggr