set_diagnosands {DeclareDesign} | R Documentation |
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.
set_diagnosands(x, diagnosands = default_diagnosands)
x |
A design typically created using the + operator, or a simulations data.frame created by |
diagnosands |
A set of diagnosands created by |
a design object with a diagnosand attribute
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)