Print a diagnosand comparison
Usage
# S3 method for class 'compared_diagnoses'
print(x, ...)Arguments
- x
(required) A
compared_diagnosesobject, as returned bycompare_diagnoses().- ...
(optional) Passed to the
print()method ofcompared_diagnoses_df.
Examples
design <- declare_parameters(n_units = 100) +
declare_model(N = n_units, Y = rnorm(N), Z = randomizr::complete_ra(N)) +
declare_inquiry(ATE = 0) +
declare_estimator(Y ~ Z, .method = lm, term = "Z", inquiry = "ATE",
label = "ols")
print(compare_diagnoses(design, redesign(design, n_units = 200),
sims = 20, bootstrap_sims = 20))
#> Comparison of diagnosands, design 2 minus design 1
#>
#> # A tibble: 7 × 13
#> inquiry estimator term n_units_2 diagnosand mean_1 mean_2 mean_difference
#> <chr> <chr> <chr> <dbl> <chr> <dbl> <dbl> <dbl>
#> 1 ATE ols Z 200 mean_estima… 0 0 0
#> 2 ATE ols Z 200 mean_estima… 0.00698 -0.0109 -0.0179
#> 3 ATE ols Z 200 bias 0.00698 -0.0109 -0.0179
#> 4 ATE ols Z 200 sd_estimate 0.218 0.110 -0.109
#> 5 ATE ols Z 200 rmse 0.213 0.107 -0.105
#> 6 ATE ols Z 200 power 0.1 0 -0.1
#> 7 ATE ols Z 200 coverage 0.9 1 0.1
#> # ℹ 5 more variables: se_1 <dbl>, se_2 <dbl>, se_difference <dbl>,
#> # conf.low <dbl>, conf.high <dbl>