mm_validate_data: Evaluate whether the data argument is properly formatted.

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

Evaluate whether the data argument is properly formatted.

Description

Will most often be called from within a metab_model constructor.

Usage

mm_validate_data(
  data = mm_data(NULL),
  data_daily = mm_data(NULL),
  metab_class,
  data_tests = c("missing_cols", "extra_cols", "na_times", "units")
)

Arguments

data	data.frame (not a tbl_df) of input data at the temporal resolution of raw observations (unit-value). Columns must have the same names, units, and format as the default. The solar.time column must also have a timezone code ('tzone' attribute) of 'UTC'. See the 'Formatting data' section below for a full description.
data_daily	data.frame containing inputs with a daily timestep. See the 'Formatting data_daily' section below for a full description.
metab_class	character the class name of the metab_model constructor
data_tests	list of tests to conduct to determine whether the input data.frames are properly formatted to allow modeling to begin

Examples

## Not run: 
mm_validate_data(dplyr::select(mm_data(),-temp.water), metab_class="metab_mle")

## End(Not run)

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