Plot performance scores for point and interval estimators

This function extract the values of mu and the score values and a facet plot with one facet per score. If the input argument is a list, the different estimators will be displayed in the same facets, differentiated by color.

Usage

# S4 method for class 'EstimatorScoreResultList'
plot(x, y, ...)

Arguments

x

an output object from evaluate_estimator (EstimatorScoreResult) or a list of such objects (EstimatorScoreResultList).

y

unused.

...

additional arguments handed down to ggplot.

Value

a ggplot object visualizing the score values.

Examples

score_result1 <- evaluate_estimator(
  MSE(),
  estimator = SampleMean(),
  data_distribution = Normal(FALSE),
  design = get_example_design(),
  mu=seq(-.75, 1.32, 0.03),
  sigma=1)
# Plotting the result of evaluate_estimator
plot(score_result1)


score_result2 <- evaluate_estimator(
  MSE(),
  estimator = AdaptivelyWeightedSampleMean(w1 = 0.8),
  data_distribution = Normal(FALSE),
  design = get_example_design(),
  mu=seq(-.75, 1.32, 0.03),
  sigma=1)
# Plotting a list of different score results
plot(c(score_result1, score_result2))