VIM-package |
Visualization and Imputation of Missing Values |
aggr |
Aggregations for missing/imputed values |
alphablend |
Alphablending for colors |
Animals_na |
Animals_na |
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 |
impPCA |
Iterative EM PCA imputation |
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 |
medianSamp |
Aggregation function for a ordinal 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 |
tableMiss |
create table with highlighted missings/imputations |
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 |