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INDperform (version 0.2.2)

compare_thresholds: Compare changes in t_var based on different threshold levels.

Description

compare_thresholds is a helper function for thresh_gam. It test whether a specific threshold value leads to a new splitting of trainings observations in the threshold variable in comparison to the previous threshold value. Returns FALSE if the change in the t-t_val does not result in a new grouping of threshold values (above and below the t_val).

Usage

compare_thresholds(t_val, t_var)

Arguments

t_val

A vector with threshold values.

t_var

A vector with pressure values of the threshold variable.

Value

The function returns a tibble with one row for each t-val and two columns:

t_val

The input vector of threshold values.

change

logical; if TRUE, the respective threshold value lead to a new splitting of trainings observations in the threshold variable.

See Also

thresh_gam

Examples

Run this code
# NOT RUN {
t_var <- rnorm(20)
lower <- stats::quantile(t_var, prob = .2, na.rm = TRUE)
upper <- stats::quantile(t_var, prob = .8, na.rm = TRUE)
t_val <- seq(from = lower, to = upper, by = (upper - lower) / 20)
compare_thresholds(t_val, t_var)
# }

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