Compare changes in t_var based on different threshold levels.

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).

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

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)
#> # A tibble: 21 × 2
#>     t_val change
#>     <dbl> <lgl> 
#>  1 -1.45  TRUE  
#>  2 -1.35  TRUE  
#>  3 -1.25  FALSE 
#>  4 -1.15  FALSE 
#>  5 -1.05  FALSE 
#>  6 -0.945 FALSE 
#>  7 -0.845 TRUE  
#>  8 -0.745 FALSE 
#>  9 -0.644 FALSE 
#> 10 -0.544 TRUE  
#> # … with 11 more rows