as.SandwichLayer: Convert a 'PreSandwichLayer' to a 'SandwichLayer' with a...

In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment

Convert a PreSandwichLayer to a SandwichLayer with a StudySpecification object

Description

as.SandwichLayer() uses the StudySpecification object passed to the specification argument to populate the slots in a SandwichLayer object that a PreSandwichLayer does not have sufficient information for.

Usage

as.SandwichLayer(x, specification, by = NULL, Q_data = NULL)

Arguments

x	a PreSandwichLayer object
specification	a StudySpecification object
by	optional; a string or named vector of unique identifier columns in the data used to create specification and the data used to fit the covariance adjustment model. Default is NULL, in which case unit of assignment columns are used for identification (even if they do not uniquely identify units of observation). If a named vector is provided, names should represent variables in the data used to create specification, while values should represent variables in the covariance adjustment data.
Q_data	dataframe of direct adjustment sample, which is needed to generate the keys slot of the SandwichLayer object. Defaults to NULL, in which case if by is NULL, the data used to create specification is used, and if by is not NULL, appropriate data further up the call stack (passed as arguments to cov_adj() or lmitt.formula(), for example) is used.

Value

a SandwichLayer object

propertee documentation built on Aug. 22, 2025, 1:09 a.m.