Man pages for vtreat
A Statistically Sound 'data.frame' Processor/Conditioner

as_rquery_planConvert vtreatment plans into a sequence of rquery read...
buildEvalSetsBuild set carve-up for out-of sample evaluation.
designTreatmentsCBuild all treatments for a data frame to predict a...
designTreatmentsNbuild all treatments for a data frame to predict a numeric...
designTreatmentsZDesign variable treatments with no outcome variable.
flatten_fn_listFlatten a list of functions onto d.
format.vtreatmentDisplay treatment plan.
getSplitPlanAppLabelsread application labels off a split plan.
kWayCrossValidationk-fold cross validation, a splitFunction in the sense of...
kWayStratifiedYk-fold cross validation stratified on y, a splitFunction in...
kWayStratifiedYReplacek-fold cross validation stratified with replacement on y, a...
makekWayCrossValidationGroupedByColumnBuild a k-fold cross validation splitter, respecting (never...
mkCrossFrameCExperimentRun categorical cross-frame experiment.
mkCrossFrameNExperimentRun a numeric cross frame experiment.
novel_value_summaryReport new/novel appearances of character values.
oneWayHoldoutOne way holdout, a splitFunction in the sense of...
prepareApply treatments and restrict to useful variables.
print.treatmentplanPrint treatmentplan.
print.vtreatmentPrint treatmentplan.
problemAppPlancheck if appPlan is a good carve-up of 1:nRows into nSplits...
reexportsObjects exported from other packages
rqdatatable_prepareApply a treatment plan using rqdatatable.
rquery_prepareMaterialize a treated data frame remotely.
track_valuesTrack unique character values for variables.
vnamesNew treated variable names from a treatmentplan$treatment...
vorigOriginal variable name from a treatmentplan$treatment item.
vtreatvtreat: A Statistically Sound 'data.frame'...
vtreat documentation built on July 12, 2018, 9:04 a.m.