modify_design: Modify a design after the fact

In DeclareDesign/ddoldversion: Declare and Diagnose Research Designs

Description

Insert, delete and replace steps in an (already declared) design object.

Usage

insert_step(design, new_step, before, after)

delete_step(design, step)

replace_step(design, step, new_step)

Arguments

design	A design object, usually created using the + operator, expand_design, or the design library.
new_step	The new step; Either a function or a partial call.
before	The step before which to add steps.
after	The step after which to add steps.
step	The quoted label of the step to be deleted or replaced.

Details

See modify_design for details.

Value

A new design object.

Examples

 my_population <- declare_population(N = 100, noise = rnorm(N), label = "my_pop")

 my_potential_outcomes <-
   declare_potential_outcomes(Y_Z_0 = noise,
                              Y_Z_1 = noise + rnorm(N, mean = 2, sd = 2))

 my_assignment <- declare_assignment(m = 50)
 my_assignment_2 <- declare_assignment(m = 25)

 design <- my_population + my_potential_outcomes + my_assignment

 design

 insert_step(design, declare_step(dplyr::mutate, income = noise^2), after = my_assignment)
 insert_step(design, declare_step(dplyr::mutate, income = noise^2), before = my_assignment)

 # If you are using a design created by a designer, for example from
 #   the DesignLibrary package, you will not have access to the step
 #   objects. Instead, you can always use the label of the step.
 
 # get the labels for the steps
 names(design)
 
 insert_step(design, declare_sampling(n = 50), after = "my_pop")


 delete_step(design, my_assignment)
 replace_step(design, my_assignment, declare_step(dplyr::mutate, words = "income"))

DeclareDesign/ddoldversion documentation built on Oct. 30, 2019, 5:17 p.m.