data_checker: Set of checks to perform on the data to make sure it can be...

In hellometry: Biomass Estimation from Allometric Relationships

Set of checks to perform on the data to make sure it can be handled by hellometry()

Description

Will fail if any condition not met

Usage

data_checker(dats, biomass_type, model)

Arguments

dats	Dataframe to be used for estimation
biomass_type	"dry"/"wet". Whether the biomass used in inference should be dry (default) or wet. See dry_wet() for details.
model	"lm"/"poisson". What kind of allometric model should be computed. See full_estimation_table() for details.

Value

An error if any check fails.

Examples

# Data named the way the package expects
dats <-
  data.frame(species = c("sp_a", "sp_b"),
             stage = "larva",
             abundance = c(2, 5),
             size_col = c("3.1", "unknown"),
             biomass_col = c(0.4, NA),
             biomass_type = "dry")

# Passes quietly
data_checker(dats, biomass_type = "dry", model = "lm")

# Fails on a column that is not named properly
try(data_checker(dats["species"], biomass_type = "dry", model = "lm"))

hellometry documentation built on Nov. 11, 2026, 5:06 p.m.