Tidy diagnosis
Usage
# S3 method for class 'diagnosis'
tidy(x, conf.int = TRUE, conf.level = 0.95, ...)Arguments
- x
A diagnosis object generated by
diagnose_design.- conf.int
Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to ‘TRUE’.
- conf.level
The confidence level to use for the confidence interval if ‘conf.int = TRUE’. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.
- ...
extra arguments (not used)
Value
A data.frame with columns for diagnosand names, estimated diagnosand values, bootstrapped standard errors and confidence intervals
Examples
effect_size <- 0.1
design <-
declare_model(
N = 100,
U = rnorm(N),
X = rnorm(N),
potential_outcomes(Y ~ effect_size * Z + X + U)
) +
declare_inquiry(ATE = mean(Y_Z_1 - Y_Z_0)) +
declare_assignment(Z = complete_ra(N)) +
declare_measurement(Y = reveal_outcomes(Y ~ Z)) +
declare_estimator(Y ~ Z, inquiry = "ATE", label = "unadjusted") +
declare_estimator(Y ~ Z + X, inquiry = "ATE", label = "adjusted")
diagnosis <- diagnose_design(design, sims = 100)
tidy(diagnosis)
#> design inquiry estimator outcome term diagnosand estimate std.error
#> 1 design ATE adjusted Y Z mean_estimand 0.100000000 0.00000000
#> 2 design ATE adjusted Y Z mean_estimate 0.103982049 0.01877121
#> 3 design ATE adjusted Y Z bias 0.003982049 0.01877121
#> 4 design ATE adjusted Y Z sd_estimate 0.199804329 0.01289401
#> 5 design ATE adjusted Y Z rmse 0.198842674 0.01279584
#> 6 design ATE adjusted Y Z power 0.090000000 0.03034798
#> 7 design ATE adjusted Y Z coverage 0.950000000 0.02326483
#> 8 design ATE unadjusted Y Z mean_estimand 0.100000000 0.00000000
#> 9 design ATE unadjusted Y Z mean_estimate 0.150848272 0.02447191
#> 10 design ATE unadjusted Y Z bias 0.050848272 0.02447191
#> 11 design ATE unadjusted Y Z sd_estimate 0.268687220 0.01491275
#> 12 design ATE unadjusted Y Z rmse 0.272133130 0.01501576
#> 13 design ATE unadjusted Y Z power 0.100000000 0.02927473
#> 14 design ATE unadjusted Y Z coverage 0.970000000 0.01567472
#> conf.low conf.high
#> 1 0.1000000000 0.10000000
#> 2 0.0669666790 0.14072546
#> 3 -0.0330333210 0.04072546
#> 4 0.1749610721 0.22205651
#> 5 0.1746681345 0.22243013
#> 6 0.0400000000 0.16000000
#> 7 0.8947500000 0.98000000
#> 8 0.1000000000 0.10000000
#> 9 0.1006271142 0.19493708
#> 10 0.0006271142 0.09493708
#> 11 0.2377792115 0.29307036
#> 12 0.2405725992 0.29616441
#> 13 0.0400000000 0.15525000
#> 14 0.9347500000 1.00000000