checks.evaluate.core: Common checks for all functions

In EvaluateCore: Quality Evaluation of Core Collections

Common checks for all functions

Description

Not exported. Strictly internal

Usage

checks.evaluate.core(
  data,
  names,
  quantitative = NULL,
  qualitative = NULL,
  selected
)

Arguments

data	The data as a data frame object. The data frame should possess one row per individual and columns with the individual names and multiple trait/character data.
names	Name of column with the individual names as a character string
quantitative	Name of columns with the quantitative traits as a character vector.
qualitative	Name of columns with the qualitative traits as a character vector.
selected	Character vector with the names of individuals selected in core collection and present in the names column.

EvaluateCore documentation built on July 3, 2022, 5:06 p.m.