# Visualization and Imputation of Missing Values

## Documentation for package ‘VIM’ version 5.1.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D E F G H I K L M N P R S T V W

VIM-package | Visualization and Imputation of Missing Values

## -- A --

aggr | Aggregations for missing/imputed values
aggr.data.frame | Aggregations for missing/imputed values
aggr.default | Aggregations for missing/imputed values
aggr.survey.design | Aggregations for missing/imputed values
aggr_work | Aggregations for missing/imputed values
alphablend | Alphablending for colors

## -- B --

barMiss | Barplot with information about missing/imputed values
barMiss.data.frame | Barplot with information about missing/imputed values
barMiss.default | Barplot with information about missing/imputed values
barMiss.survey.design | Barplot with information about missing/imputed values
bcancer | Breast cancer Wisconsin data set
bgmap | Backgound map
brittleness | Brittleness index data set
bubbleMiss | Growing dot map with information about missing/imputed values

## -- C --

chorizonDL | C-horizon of the Kola data with missing values
colic | Colic horse data set
collisions | Subset of the collision data
colormapMiss | Colored map with information about missing/imputed values
colormapMiss.data.frame | Colored map with information about missing/imputed values
colormapMiss.default | Colored map with information about missing/imputed values
colormapMiss.survey.design | Colored map with information about missing/imputed values
colormapMissLegend | Colored map with information about missing/imputed values
colSequence | HCL and RGB color sequences
colSequenceHCL | HCL and RGB color sequences
colSequenceRGB | HCL and RGB color sequences
countInf | Count number of infinite or missing values
countNA | Count number of infinite or missing values

## -- D --

diabetes | Indian Prime Diabetes Data

## -- E --

evaluation | Error performance measures
existsVm | Environment for the GUI for Visualization and Imputation of Missing Values

## -- F --

food | Food consumption

## -- G --

gapMiss | Missing value gap statistics
getVm | Environment for the GUI for Visualization and Imputation of Missing Values
gowerD | Computes the extended Gower distance of two data sets
growdotMiss | Growing dot map with information about missing/imputed values
growdotMiss.data.frame | Growing dot map with information about missing/imputed values
growdotMiss.default | Growing dot map with information about missing/imputed values
growdotMiss.survey.design | Growing dot map with information about missing/imputed values

## -- H --

histMiss | Histogram with information about missing/imputed values
histMiss.data.frame | Histogram with information about missing/imputed values
histMiss.default | Histogram with information about missing/imputed values
histMiss.survey.design | Histogram with information about missing/imputed values
hotdeck | Hot-Deck Imputation
hotdeck.data.frame | Hot-Deck Imputation
hotdeck.default | Hot-Deck Imputation
hotdeck.survey.design | Hot-Deck Imputation

## -- I --

iimagMiss | Matrix plot
initialise | Initialization of missing values
irmi | Iterative robust model-based imputation (IRMI)
irmi.data.frame | Iterative robust model-based imputation (IRMI)
irmi.default | Iterative robust model-based imputation (IRMI)
irmi.survey.design | Iterative robust model-based imputation (IRMI)

## -- K --

kNN | k-Nearest Neighbour Imputation
kNN.data.frame | k-Nearest Neighbour Imputation
kNN.data.table | k-Nearest Neighbour Imputation
kNN.default | k-Nearest Neighbour Imputation
kNN.survey.design | k-Nearest Neighbour Imputation
kola.background | Background map for the Kola project data

## -- L --

lr | Error performance measures

## -- M --

mape | Error performance measures
mapMiss | Map with information about missing/imputed values
mapMiss.data.frame | Map with information about missing/imputed values
mapMiss.default | Map with information about missing/imputed values
mapMiss.survey.design | Map with information about missing/imputed values
marginmatrix | Marginplot Matrix
marginmatrix.data.frame | Marginplot Matrix
marginmatrix.default | Marginplot Matrix
marginmatrix.survey.design | Marginplot Matrix
marginplot | Scatterplot with additional information in the margins
matchImpute | Fast matching/imputation based on categorical variable
matchImpute.data.frame | Fast matching/imputation based on categorical variable
matchImpute.data.table | Fast matching/imputation based on categorical variable
matchImpute.default | Fast matching/imputation based on categorical variable
matchImpute.survey.design | Fast matching/imputation based on categorical variable
matrixplot | Matrix plot
matrixplot.data.frame | Matrix plot
matrixplot.default | Matrix plot
matrixplot.survey.design | Matrix plot
maxCat | Aggregation function for a factor variable
mosaicMiss | Mosaic plot with information about missing/imputed values
mosaicMiss.data.frame | Mosaic plot with information about missing/imputed values
mosaicMiss.default | Mosaic plot with information about missing/imputed values
mosaicMiss.survey.design | Mosaic plot with information about missing/imputed values
msecor | Error performance measures
msecov | Error performance measures

## -- N --

nrmse | Error performance measures

## -- P --

pairsVIM | Scatterplot Matrices
parcoordMiss | Parallel coordinate plot with information about missing/imputed values
parcoordMiss.data.frame | Parallel coordinate plot with information about missing/imputed values
parcoordMiss.default | Parallel coordinate plot with information about missing/imputed values
parcoordMiss.survey.design | Parallel coordinate plot with information about missing/imputed values
pbox | Parallel boxplots with information about missing/imputed values
pbox.data.frame | Parallel boxplots with information about missing/imputed values
pbox.default | Parallel boxplots with information about missing/imputed values
pbox.survey.design | Parallel boxplots with information about missing/imputed values
pfc | Error performance measures
plot.aggr | Aggregations for missing/imputed values
prepare | Transformation and standardization
prepare.data.frame | Transformation and standardization
prepare.default | Transformation and standardization
prepare.survey.design | Transformation and standardization
print.aggr | Aggregations for missing/imputed values
print.summary.aggr | Aggregations for missing/imputed values
pulplignin | Pulp lignin content
putVm | Environment for the GUI for Visualization and Imputation of Missing Values

## -- R --

regressionImp | Regression Imputation
regressionImp.data.frame | Regression Imputation
regressionImp.default | Regression Imputation
regressionImp.survey.design | Regression Imputation
rmVm | Environment for the GUI for Visualization and Imputation of Missing Values
rugNA | Rug representation of missing/imputed values

## -- S --

sampleCat | Random aggregation function for a factor variable
SBS5242 | Synthetic subset of the Austrian structural business statistics data
scattJitt | Bivariate jitter plot
scattmatrixMiss | Scatterplot matrix with information about missing/imputed values
scattmatrixMiss.data.frame | Scatterplot matrix with information about missing/imputed values
scattmatrixMiss.default | Scatterplot matrix with information about missing/imputed values
scattmatrixMiss.survey.design | Scatterplot matrix with information about missing/imputed values
scattMiss | Scatterplot with information about missing/imputed values
sleep | Mammal sleep data
smape | Error performance measures
spineMiss | Spineplot with information about missing/imputed values
summary.aggr | Aggregations for missing/imputed values

## -- T --

tao | Tropical Atmosphere Ocean (TAO) project data
testdata | Simulated data set for testing purpose
TKRmatrixplot | Matrix plot
toydataMiss | Simulated toy data set for examples

## -- V --

VIM | Visualization and Imputation of Missing Values
vmGUIenvir | Environment for the GUI for Visualization and Imputation of Missing Values

## -- W --

wine | Wine tasting and price