mm_predict_metab_1ply: Helper to predict_metab.metab_model

In USGS-R/streamMetabolizer: Models for Estimating Aquatic Photosynthesis and Respiration

Helper to predict_metab.metab_model

Description

Usually assigned to model_fun within mm_model_by_ply, called from there

Usage

mm_predict_metab_1ply(
  data_ply,
  data_daily_ply,
  day_start,
  day_end,
  ply_date,
  ply_validity,
  ...,
  model_name
)

Arguments

data_ply	a data.frame containing all relevant, validated modeling data for a single ply of data. (1 ply ~= 1 date, although the day length has been specified by day_start and day_end and may not be exactly 24 hours)
data_daily_ply	NULL or a data.frame containing inputs with a daily timestep.
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.
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.
ply_date	the modal date of this ply of data and data_daily, and the date by which this ply should be referred topresent.
ply_validity	the output of mm_is_valid_day as applied to this data_ply for those tests specified in day_tests. Those tests will have been run before this function is called. The result is TRUE if the ply is entirely valid, or a character vector containing one or more error messages if any tests failed.
...	other args that were passed untouched from the function calling mm_model_by_ply, through mm_model_by_ply, and finally to this function.
model_name	the coded model name that will determine the GPP_fun, ER_fun, deficit_src, and ode_method to use in prediction

Value

a data.frame of predictions

USGS-R/streamMetabolizer documentation built on Aug. 15, 2023, 7:50 a.m.