Man pages for terminological/tidy-info-stats
Functions for manipulating information statistics
| adjustMIForAbsentValues | Adjust mutual information calculation when values are... |
| applySGolayFilter | apply a sgolay filter groupwise to data in a dbplyr dataframe... |
| byRow | A row wise dataframe iterator in for loops |
| calculateBinaryMI | Calculates multiple 2 class mutual information scores from... |
| calculateConfusionMatrixStats | Calculates multiple confusion matrix stats from mariginal... |
| calculateContinuousEntropy | calculate entropy of a sequence of continuous variables |
| calculateContinuousEntropy_PDF | calculate differential entropy of a continuous value (X)... |
| calculateContinuousEntropy_Quantile | calculate differential entropy of a continuous value (X)... |
| calculateCooccurrenceMI | Calculate a co-occurrence matrix for concepts associated with... |
| calculateDigamma | SQL Digamma function |
| calculateDiscreteAbsentValuesMI | calculate mutual information between a categorical value (X)... |
| calculateDiscreteBinaryMI | calculate self information when an observation has a discrete... |
| calculateDiscreteContinuousMI | calculate mutual information between a categorical value (X)... |
| calculateDiscreteContinuousMI_Compression | calculate mutual information between a categorical value (X)... |
| calculateDiscreteContinuousMI_Discretise | calculate mutual information between a categorical value (X)... |
| calculateDiscreteContinuousMI_Entropy | calculate mutual information between a discrete value (X) and... |
| calculateDiscreteContinuousMI_KNN | calculate mutual information between a categorical value (X)... |
| calculateDiscreteContinuousMI_KWindow | calculate mutual information between a categorical value (X)... |
| calculateDiscreteContinuousPointwiseConditionalEntropy | calculate a pointwise mutual information between a... |
| calculateDiscreteContinuousPointwiseConditionalEntropy_Entropy | calculate conditional mutual information between a discrete... |
| calculateDiscreteContinuousPointwiseConditionalEntropy_Kernel | calculate pointwise mutual information between a categorical... |
| calculateDiscreteContinuousPointwiseConditionalEntropy_KNN | calculate pointwise mutual information between a categorical... |
| calculateDiscreteContinuousPointwiseConditionalEntropy_KWindow | calculate pointwise mutual information between a categorical... |
| calculateDiscreteDiscreteMI | calculate mutual information between a discrete value (X) and... |
| calculateDiscreteDiscreteMI_Empirical | calculate mutual information between a discrete value (X) and... |
| calculateDiscreteDiscreteMI_Entropy | calculate mutual information between a discrete value (X) and... |
| calculateDiscreteEntropy | calculate entropy of a sequence of |
| calculateDiscreteEntropy_Compression | calculate mutual information between a categorical value (X)... |
| calculateDiscreteEntropy_Grassberger | calculate entropy of an optionally discrete value (X) using a... |
| calculateDiscreteEntropy_Histogram | calculate entropy of an optionally discrete value (X) using a... |
| calculateDiscreteEntropy_InfoTheo | calculate entropy of an optionally discrete value (X) using a... |
| calculateDiscreteEntropy_MontgomerySmith | calculate entropy of an optionally ordered discrete value (X)... |
| calculateDiscretePresentValuesMI | calculate mutual information between a categorical value (X)... |
| calculateDiscreteSelfInformation | calculate self information of a discrete variable |
| calculateIdf | Creates a table with baseline IDF stats |
| calculateMultiClassMI | Calculate single mutual information score from multiclass... |
| calculateSelfInformation_Grassberger | calculate self information of a discrete value (X) using a... |
| calculateSelfInformation_Histogram | calculate the self information for all values of a discrete... |
| calculateTfidf | Calculate a term frequecy / inverse document frequency for... |
| classCountFromGroup | Helper function to calculate observed class counts of... |
| coefficientAdj | adjust the baseline coefficients of a SGoly filter for... |
| collectAsSparseMatrix | Converts a tidy dataframe into a Matrix::sparseMatrix |
| collectAsTrainingSet | Converts a tidy dataframe into a Matrix::sparseMatrix of... |
| collectDf | Check table is from a database and enforce collection |
| collectOutcomeVector | Converts a tidy dataframe into a Matrix::sparseMatrix |
| createSequentialIdentifier | Create an id based for each sample based on a unique... |
| cutsDfFromVector | generate a data fram of cuts for every group in a dataframe... |
| digammaCache | a set of the first 50 digamma values |
| discretise | discretise a continuous variable using a user supplied... |
| discretise_ByRank | Discretise data by the rank of a continuous variable |
| discretise_ByValue | Discretise data by the value of a continuous variable |
| discretise_Manual | Discretise data using pre-defined break points |
| expectFixedSamples | specify the number of expected observations for each class... |
| expectOnePerSample | specify the number of expected observations for each class... |
| expectSamplesByOutcome | specify the number of expected observations for each class... |
| fBeta | calculate mutual information from probabilities - see... |
| findKNN | calculates an approximate KNN for sourceDf entries in... |
| fixedNumber | A binning strategy generator. Creates a function that can be... |
| fixedWidth | A binning strategy generator. Creates a function that can be... |
| groupMutate | Execute a mutate function on grouped data in all databases |
| groupwiseCount | Groupwise count |
| joinList | Calculates a join list |
| labelGroup | Renames groups extending accross multiple columns do that... |
| linearBySize | A binning strategy generator. Creates a function that can be... |
| logNormalCentiles | A binning strategy generator. Creates a function that can be... |
| mi | calculate mutual information from probabilities |
| miFromCounts | calculate mutual information from counts |
| npmi | A calculate normalised pointwise mutual information from... |
| npmiFromCounts | A calculate pointwise mutual information from counts |
| observedVersusExpected | calculate mutual information between a categorical value (X)... |
| pmi | A calculate pointwise mutual information from probabilities |
| pmiFromCounts | A calculate pointwise mutual information from counts |
| probabilitiesFromConfusionMatrix | Helper function to calculate probability from confusion... |
| probabilitiesFromContinuous | estimate PDFs from samples in a tidy friendly manner |
| probabilitiesFromContinuous_Kernel | Helper function to calculate probability from continuous data... |
| probabilitiesFromContinuous_SGolay | Helper function to calculate probability from continuous data... |
| probabilitiesFromCooccurrence | Helper function to calculate probability from grouped data in... |
| probabilitiesFromCounts | Helper function to calculate probability from counts in dplyr... |
| probabilitiesFromDiscrete | Helper function to calculate probability from discrete data... |
| sgolayTable | Precalculates a sgolay filter (WIP) |
| sparseMatrixToSparseMCsr | Sparse matrix conversion for liblinear |
| tidyDiscreteUSArrests | tidy dataframe of the USArrests data |
| tidyDiscreteUSArrestsCooccurrence | tidy dataframe of the USArrests data with co-occurence of... |
| tidyIris | tidy dataframe of the Iris data with features & outcomes |
| tidyUSArrests | tidy dataframe of the USArrests data |
| tidyUSArrestsCooccurrence | tidy dataframe of the USArrests data with co-occurence of... |
| unarrange | Unarrange an ordered data set |
