Plot Method for ocf.marginal Objects

Plots an ocf.marginal object.

# S3 method for class 'ocf.marginal'
plot(
  x,
  class_names = NULL,
  point_size = 2,
  facet_text_size = 12,
  legend_text_size = 10,
  ...
)

Arguments

x

An ocf.marginal object.

class_names

Character vector of length equal to x$n.classes to set class names in the plot.

point_size

Controls the points' size.

facet_text_size

Controls the facets' labels' size.

legend_text_size

Controls the legends' size.

...

Further arguments passed to or from other methods.

Value

Plots an ocf.marginal object.

Details

If standard errors have been estimated, 95% confidence intervals are shown.

References

• Di Francesco, R. (2025). Ordered Correlation Forest. Econometric Reviews, 1–17. doi:10.1080/07474938.2024.2429596 .

See also

ocf, marginal_effects.

Author

Riccardo Di Francesco

Examples

## Generate synthetic data.
set.seed(1986)

data <- generate_ordered_data(100)
sample <- data$sample
Y <- sample$Y
X <- sample[, -1]

## Fit ocf.
forests <- ocf(Y, X)

## Marginal effects at the mean.
me <- marginal_effects(forests, eval = "atmean")
plot(me)


## Add standard errors.
honest_forests <- ocf(Y, X, honesty = TRUE)
honest_me <- marginal_effects(honest_forests, eval = "atmean", inference = TRUE)
plot(honest_me)