detect_design_vars: Detect design variables from a model formula
In optedr: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
View source: R/detect_design.R
detect_design_vars R Documentation
Detect design variables from a model formula
Description
Inspects the formula to identify which symbols are design variables (as opposed to
parameters or the response). Enforces the naming convention: "x" for
single-factor models and "x1", "x2", ... for multi-factor models.
Usage
detect_design_vars(model, parameters)
Arguments
model
A formula describing the model.
parameters
Character vector of parameter names (excluded from design variables).
Value
Character vector of design variable names, sorted in numerical order for
multi-factor models (e.g. c("x1", "x2", "x10")).
optedr documentation built on June 23, 2026, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/detect_design.R
| detect_design_vars | R Documentation |
Detect design variables from a model formula
Description
Inspects the formula to identify which symbols are design variables (as opposed to
parameters or the response). Enforces the naming convention: "x" for
single-factor models and "x1", "x2", ... for multi-factor models.
Usage
detect_design_vars(model, parameters)
Arguments
model |
A formula describing the model. |
parameters |
Character vector of parameter names (excluded from design variables). |
Value
Character vector of design variable names, sorted in numerical order for
multi-factor models (e.g. c("x1", "x2", "x10")).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.