Description Usage Arguments Value Examples
View source: R/set_diagnosands.R
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.
1 | 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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | design <-
declare_population(data = sleep) +
declare_estimand(mean_outcome = mean(extra)) +
declare_sampling(n = 10) +
declare_estimator(extra ~ 1, estimand = "mean_outcome",
term = '(Intercept)', model = lm_robust)
diagnosands <- declare_diagnosands(
median_bias = median(estimate - estimand), keep_defaults = FALSE)
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)
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