Man pages for yhhc2/machinelearnr
Package with various functions for preprocessing, clustering, and classification
| AddColBinnedToBinary | Bin the values of a selected continuous column into 2 bins... |
| AddColBinnedToQuartiles | Bin the values of a selected continuous column into 4 bins... |
| AddPCsToEnd | Perform PCA |
| CalcOptimalNumClustersForKMeans | Generate plots to help decide optimal number of clusters for... |
| captureSessionInfo | Capture session info |
| ConvertDataToPercentiles | Use percentiles to assess for outliers in multidimensional... |
| CorAssoTestMultipleWithErrorHandling | Takes multiple vectors and do correlation/association testing... |
| correlation.association.test | Given two numerical data vector, determine the correlation |
| CVPredictionsRandomForest | Create random forest cross-validated model |
| CVRandomForestClassificationMatrixForPheatmap | Generate a random forest model under cross validation (CV)... |
| describeNumericalColumns | Describe each numerical feature. Mean, stddev, median,... |
| describeNumericalColumnsWithLevels | For each level, describe each numerical feature. Mean, sd,... |
| DownSampleDataframe | Down sample an imbalanced dataset to get a balanced dataset |
| eval.classification.results | Determine the performance of classification |
| find.best.number.of.trees | Using the classification error rate for each number of trees,... |
| generate.2D.clustering.with.labeled.subgroup | Make a 2D scatter plot that shows the data as represented by... |
| generate.3D.clustering.with.labeled.subgroup | Make a 3D scatter plot that shows the data as represented by... |
| generate.descriptive.plots | Use histograms and boxplots to get an general idea of what... |
| generate.descriptive.plots.save.pdf | Use histograms and boxplots to get an general idea of what... |
| GenerateElbowPlotPCA | Create elbow plot to see how much total variance is explained... |
| GenerateExampleDataMachinelearnr | Produce example data set for demonstrating package functions |
| GenerateParcoordForClusters | Generate parallel plot to show each observation and which... |
| GeneratePC1andPC2PlotsWithAndWithoutOutliers | Generate PC1 vs PC2 plots with and without outliers. |
| generate.plots.comparing.clusters | Compare clusters |
| HierarchicalClustering | Automated hierarchical clustering with labeling of... |
| Log2TargetDensityPlotComparison | Do Log2 transformation on a column, and then compare with and... |
| LOOCVPredictionsRandomForestAutomaticMtryAndNtree | Create random forest leave-one-out-cross-validated model |
| LOOCVRandomForestClassificationMatrixForPheatmap | Generate a random forest model under... |
| LookAtPCFeatureLoadings | Principal component feature loadings |
| MultipleColumnsNormalCheckThenBoxCox | Checks multiple columns in a dataframe to see if each is... |
| NormalCheckThenBoxCoxTransform | Checks if the data is normally distributed using Shapiro... |
| RandomForestAutomaticMtryAndNtree | Create random forest classification model after optimizing... |
| RandomForestClassificationGiniMatrixForPheatmap | Generate a random forest model for different subsets of the... |
| RandomForestClassificationPercentileMatrixForPheatmap | Generate a random forest model for different subsets of the... |
| RanomlySelectOneRowForEach | Randomly select one row |
| RecodeIdentifier | Recode the identifier column of a dataset |
| RemoveColWithAllZeros | Remove columns with all zeros |
| RemoveRowsBasedOnCol | Remove rows from the dataframe if the row contains a value in... |
| RemoveSamplesWithInstability | Remove samples that have multiple values for a single column... |
| SplitIntoTrainTest | Split into train and test |
| StabilityTestingAcrossVisits | Assess stability of values that correspond to a single... |
| SubsetDataByContinuousCol | Subset data by two bounds on a continuous column |
| TwoSampleTTest | Performs two sample t-test on multiple features |
| ZScoreChallengeOutliers | Remove outliers based on Z score of a particular variable |
