Create decline time series for multiple applications

If the application pattern is specified in applications, n and i are disregarded.

sawtooth(
  x,
  n = 1,
  i = 365,
  applications = data.frame(time = seq(0, (n - 1) * i, length.out = n), amount = 1)
)

Arguments

x	A one_box object
n	The number of applications. If applications is specified, n is ignored
i	The interval between applications. If applications is specified, i is ignored
applications	A data frame holding the application times in the first column and the corresponding amounts applied in the second column.

Examples

applications = data.frame(time = seq(0, 14, by = 7), amount = c(1, 2, 3))
pred <- one_box(10)
plot(sawtooth(pred, applications = applications))

m_2 <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"))
#> Successfully compiled differential equation model from auto-generated C code.
fit_2 <- mkinfit(m_2, FOCUS_2006_D, quiet = TRUE)
#> Warning: Observations with value of zero were removed from the data
#> Warning: Shapiro-Wilk test for standardized residuals: p =  0.0165
pred_2 <- one_box(fit_2, ini = 1)
pred_2_saw <- sawtooth(pred_2, 2, 7)
plot(pred_2_saw, max_twa = 21, max_twa_var = "m1")

max_twa(pred_2_saw)
#> $max
#>    parent        m1 
#> 0.7834480 0.8617048 
#> 
#> $window_start
#> parent     m1 
#>   0.00  26.85 
#> 
#> $window_end
#> parent     m1 
#>  21.00  47.85 
#>