R: Visualization and Imputation of Missing Values

# Visualization and Imputation of Missing Values

## Documentation for package ‘VIM’ version 6.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
bcancer | Breast cancer Wisconsin data set
bgmap | Backgound map
brittleness | Brittleness index data set
bubbleMiss | Growing dot map with information about missing/imputed values
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
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
diabetes | Indian Prime Diabetes Data
evaluation | Error performance measures
food | Food consumption
gapMiss | Missing value gap statistics
gowerD | Computes the extended Gower distance of two data sets
growdotMiss | Growing dot map with information about missing/imputed values
histMiss | Histogram with information about missing/imputed values
hotdeck | Hot-Deck Imputation
iimagMiss | Matrix plot
initialise | Initialization of missing values
irmi | Iterative robust model-based imputation (IRMI)
kNN | k-Nearest Neighbour Imputation
kola.background | Background map for the Kola project data
mapMiss | Map with information about missing/imputed values
marginmatrix | Marginplot Matrix
marginplot | Scatterplot with additional information in the margins
matchImpute | Fast matching/imputation based on categorical variable
matrixplot | Matrix plot
maxCat | Aggregation function for a factor variable
mosaicMiss | Mosaic plot with information about missing/imputed values
msecor | Error performance measures
msecov | Error performance measures
nrmse | Error performance measures
pairsVIM | Scatterplot Matrices
parcoordMiss | Parallel coordinate plot with information about missing/imputed values
pbox | Parallel boxplots with information about missing/imputed values
pfc | Error performance measures
plot.aggr | Aggregations for missing/imputed values
prepare | Transformation and standardization
print.aggr | Aggregations for missing/imputed values
print.summary.aggr | Aggregations for missing/imputed values
pulplignin | Pulp lignin content
rangerImpute | Random Forest Imputation
regressionImp | Regression Imputation
rugNA | Rug representation of missing/imputed values
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
scattMiss | Scatterplot with information about missing/imputed values
sleep | Mammal sleep data
spineMiss | Spineplot with information about missing/imputed values
summary.aggr | Aggregations for missing/imputed values
tao | Tropical Atmosphere Ocean (TAO) project data
testdata | Simulated data set for testing purpose
TKRmatrixplot | Matrix plot
toydataMiss | Simulated toy data set for examples
VIM | Visualization and Imputation of Missing Values
wine | Wine tasting and price