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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 |
| 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 |
| 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 |
| 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 |
| diabetes | Indian Prime Diabetes Data |
| evaluation | Error performance measures |
| existsVm | Environment for the GUI for Visualization and Imputation of Missing Values |
| food | Food consumption |
| 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 |
| 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 |
| 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) |
| 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 |
| lr | Error performance measures |
| 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 |
| nrmse | Error performance measures |
| 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 |
| 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 |
| 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 |
| 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 |
| vmGUIenvir | Environment for the GUI for Visualization and Imputation of Missing Values |
| wine | Wine tasting and price |