score_individual_df: Score an Individual Data Frame

Description

Score an Individual Data Frame

Usage

score_individual_df(
  individual_df,
  n_trials,
  n_replicates,
  max_variance,
  variance_set
)

Value

A list calculated for the individual data frame. Contains two values:

n_crossings: The number of crossover events in the data.
base_score: The un-normalized profile repeatability score for the data.

Arguments

individual_df: A data frame containing individual data.
n_trials: The total number of trials in the data frame.
n_replicates: The total number of replicates in each trial.
max_variance: The maximum allowed variance value.
variance_set: A vector of variance values.

Details

This function calculates a score for an individual data frame based on various factors, including the number of crossovers, maximum variance, and a set of variances.

The score is computed as follows:

It factors in the number of crossovers using a scaling factor.
It considers the maximum variance value in the variance set.
It adds a component based on the average of variance values.
It includes a scaled component of the number of crossovers.

Examples

Run this code

arr <- data.frame(
  individual=c("a", "a"),
  time=c(5, 15),
  col_a=c(1, 2),
  col_b=c(2, 3)
)
variance_set <- c(0.5, 0.5)
max_variance <- 0.5
score_list <- score_individual_df(
  individual_df=arr,
  n_trials=2,
  n_replicates=2,
  max_variance=max_variance,
  variance_set=variance_set
)
print(score_list)