predict_metab.metab_Kmodel | R Documentation |
metab_Kmodel predicts K (only) at daily timesteps and usually knows nothing about GPP or ER. So it's not possible to predict metabolism from this model. Try get_params() to retrieve the predicted values of K600.daily.
## S3 method for class 'metab_Kmodel'
predict_metab(
metab_model,
date_start = NA,
date_end = NA,
day_start = NA,
day_end = NA,
...,
attach.units = deprecated(),
use_saved = TRUE
)
metab_model |
A metabolism model, implementing the metab_model_interface, to use in predicting metabolism |
date_start |
Date or a class convertible with as.Date. The first date (inclusive) for which to report metabolism predictions. If NA, no filtering is done. |
date_end |
Date or a class convertible with as.Date. The last date (inclusive) for which to report metabolism predictions. If NA, no filtering is done. |
day_start |
start time (inclusive) of a day's data in number of hours from the midnight that begins the date. For example, day_start=-1.5 indicates that data describing 2006-06-26 begin at 2006-06-25 22:30, or at the first observation time that occurs after that time if day_start doesn't fall exactly on an observation time. For daily metabolism predictions, day_end - day_start should probably equal 24 so that each day's estimate is representative of a 24-hour period. |
day_end |
end time (exclusive) of a day's data in number of hours from the midnight that begins the date. For example, day_end=30 indicates that data describing 2006-06-26 end at the last observation time that occurs before 2006-06-27 06:00. For daily metabolism predictions, day_end - day_start should probably equal 24 so that each day's estimate is representative of a 24-hour period. |
... |
Other arguments passed to class-specific implementations of
|
attach.units |
(deprecated, effectively FALSE in future) logical. Should units be attached to the output? |
use_saved |
logical. Is it OK to use predictions that were saved with the model? |
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