score_aov: Create a score object for ANOVA F-test F-statistics and...

In filtro: Feature Selection Using Supervised Filter-Based Methods

Create a score object for ANOVA F-test F-statistics and p-values

Description

Construct a score object containing metadata for univariate feature scoring using the ANOVA F-test. Output a score object containing associated metadata such as range, fallback_value, score_type ("fstat" or "pval"), direction, and other relevant attributes.

Usage

score_aov(
  range = c(0, Inf),
  fallback_value = Inf,
  score_type = "fstat",
  direction = "maximize"
)

Arguments

range	A numeric vector of length two, specifying the minimum and maximum possible values, respectively.
fallback_value	A numeric scalar used as a fallback value. Typical values include: 0 Inf (default) For F-statistics, the fallback_value should be "Inf". For p-values, since the default applies a negative log10 transformation to p-values, the fallback_value should be "Inf".
score_type	A character string indicating the type of scoring metric to compute. Available options include: "fstat" "pval"
direction	A character string indicating the optimization direction. One of: "maximize" (default) "minimize" "target" For F-statistics, the direction should be "maximize". For p-values, since the default applies a negative log10 transformation to p-values, the direction should be "maximize".

Value

A score object containing associated metadata such as range, fallback_value, score_type ("fstat" or "pval"), direction, and other relevant attributes.

Examples

# Create a score object
score_aov()
# Change score type
score_obj <- score_aov()
score_obj$score_type <- "pval"

filtro documentation built on Aug. 8, 2025, 6:23 p.m.