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Validate model input data

Source: R/mm_validate_data.R
mm_validate_data.Rd

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

A data frame or tibble 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

A data frame or tibble 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.

Value

A list containing validated data and data_daily objects.

Examples

try(mm_validate_data(
  dplyr::select(mm_data(), -temp.water),
  metab_class = "metab_mle"
))
#> Error : `data` is missing column: `temp.water`.