ModelMatrixPlus-class: ModelMatrixPlus S4 class

In RItools: Randomization Inference Tools

ModelMatrixPlus S4 class

Description

If the Covariates matrix has an intercept, it will only be in the first column.

Details

More on NotMissing slot: It's matrix of numbers in [0,1]. First col is entirely TRUE or 1, like an intercept, unless corresponding UnitWeight is 0, in which case it may also be 0 (see below). Subsequent cols present only if there are missing covariate values, in which case these cols are named for terms (of the original calling formula or data frame) that possess missing values. Terms with the same missing data pattern are mapped to a single column of this matrix. If the ModelMatrixPlus is representing elements, each column should be all 1s and 0s, indicating which elements have non-missing values for the term represented by that column. If the ModelMatrixPlus as a whole represents clusters, then there can be fractional values, but that situation should only arise in the DesignOptions class exension of this class, so it's documented there.

Slots

Covariates

The numeric matrix that 'model.matrix' would have returned.

OriginalVariables

look-up table associating Covariates columns with terms of the originating model formula

TermLabels

labels of terms of the originating model formula

contrasts

Contrasts, a list of contrasts or NULL, as returned by 'model.matrix.default'

NotMissing

Matrix of numbers in [0,1] with as many rows as the Covariates table but only one more col than there are distinct covariate missingness patterns (at least 1, nothing missing). First col is entirely T or 1, like an intercept.

NM.Covariates

integer look-up table mapping Covariates columns to columns of NotMissing. (If nothing missing for that column, this is 0.)

NM.terms

integer look-up table mapping term labels to columns of NotMissing (0 means nothing missing in that column)

UnitWeights

vector of weights associated w/ rows of the ModelMatrixPlus

RItools documentation built on March 31, 2023, 7:17 p.m.