Time to reach a given microbial count
Returns the storage time required for the microbial count to
reach log_count according to the predictions of model.
Calculations are done using linear interpolation of the model predictions.
time_to_logcount(model, log_count)
model |
An instance of |
log_count |
The target log microbial count. |
The predicted time to reach log_count.
## First of all, we will get an IsothermalGrowth object my_model <- "modGompertz" my_pars <- list(logN0 = 2, C = 6, mu = .2, lambda = 25) my_time <- seq(0, 100, length = 1000) static_prediction <- predict_isothermal_growth(my_model, my_time, my_pars) plot(static_prediction) ## And now we calculate the time to reach a microbial count time_to_logcount(static_prediction, 2.5) ## If log_count is outside the range of the predicted values, NA is returned time_to_logcount(static_prediction, 20)
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