Man pages for Displayr/flipData
Functions for extracting and describing data

AutoCoerceClassAutomatically coerces a vector into an appropriate type.
CalibrateWeight'CalibrateWeight'
CheckCorrelationMatrixCheckCorrelationMatrix
CheckForLinearDependenceCheckForLinearDependence
CheckForPositiveVarianceCheckForPositiveVariance
CheckForUniqueVariableNamesCheckForUniqueVariableNames
CheckPredictionVariables'CheckPredictionVariables'
CleanBackticks'CleanBackticks'
CleanSubset'CleanSubset' Takes a QSubset variable and turns it into a...
CleanWeights'CleanWeights' Takes a QSubset variable and turns it into a...
DataFormula'DataFormula'
EffectiveSampleSize'EffectiveSampleSize'
ErrorIfMissingDataFound'ErrorIfMissingDataFound'
EstimationDataSelect the data from a data frame for estimation.
ExcludeCasesWithAnyMissingData'ExcludeCasesWithAnyMissingData'
ExcludeCasesWithCompletelyMissingData'ExcludeCasesWithCompletelyMissingData'
GetDataExtracts data from the environment of the formula, if it has...
GetTidyTwoDimensionalArray'GetTidyTwoDimensionalArray'
IsMissingIdentifies missing values in character objects
MissingDataFail'MissingDataFail'
MissingValuesByVariable'MissingValuesByVariable'
NoData'NoData'
Observed'observed' The variable used as the outcome when fitting a...
ProbabilitiesProbabilities 'Probabilities' A generic function used to...
RemoveBackticks'RemoveBackticks'
RemoveCasesWithAllNA'RemoveCasesWithAllNA'
RemoveCasesWithAnyNA'RemoveCasesWithAnyNA'
TidyRawDataTidy Data From Displayr
WeightedSurveyDesignweightedSurveyDesign
Displayr/flipData documentation built on June 26, 2018, 5:17 a.m.