set_diagnosands: Set the diagnosands for a design

View source: R/set_diagnosands.R

set_diagnosandsR Documentation

Set the diagnosands for a design

Description

A researcher often has a set of diagnosands in mind to appropriately assess the quality of a design. set_diagnosands sets the default diagnosands for a design, so that later readers can assess the design on the same terms as the original author. Readers can also use diagnose_design to diagnose the design using any other set of diagnosands.

Usage

set_diagnosands(x, diagnosands = default_diagnosands)

Arguments

x

A design typically created using the + operator, or a simulations data.frame created by simulate_design.

diagnosands

A set of diagnosands created by declare_diagnosands

Value

a design object with a diagnosand attribute

Examples


design <-
declare_model(data = sleep) +
  declare_inquiry(mean_outcome = mean(extra)) +
  declare_sampling(S = complete_rs(N, n = 10)) +
  declare_estimator(extra ~ 1, inquiry = "mean_outcome",
     term = '(Intercept)', .method = lm_robust)

diagnosands <- declare_diagnosands(
  median_bias = median(estimate - inquiry))

design <- set_diagnosands(design, diagnosands)

## Not run: 
diagnose_design(design)

simulations_df <- simulate_design(design)

simulations_df <- set_diagnosands(simulations_df, design)

diagnose_design(simulations_df)


## End(Not run)


DeclareDesign documentation built on June 21, 2022, 1:05 a.m.