ProcessAndStackDataForRegression: Helper function to stack data for a regression model.

In Displayr/flipTransformations: Data transformations for flip

Helper function to stack data for a regression model.

Description

Takes the input unstacked data, interaction, subset, weights and formula terms, processes the unstacked data, and stacks it. If the stacking is successful, the interaction, subset, weights are also updated to be the appropriate size

Usage

ProcessAndStackDataForRegression(
  unstacked.data,
  formula,
  interaction,
  subset,
  weights
)

Arguments

unstacked.data	A named list of two data frames. Element "X" is the data frame containing containing the outcome variable (usually a Numeric - Multi or Nominal/Ordinal - Multi variable set in Displayr), and element "Y" is the data frame containing the predictor variables (a Binary - Grid or Numeric - Grid variable set in Displayr).
formula	A formula object for the regression.
interaction	Optional variable to test for interaction with other variables in the model.
subset	An optional vector specifying a subset of observations to be used in the fitting process.
weights	An optional vector of sampling weights.

Displayr/flipTransformations documentation built on Feb. 26, 2024, 12:47 a.m.