check_columns_present

The functions loops over the column names and checks whether they are
present. If an issue is encountered, the function immediately stops
and returns a message with the first issue encountered.

internal_input_check

Facilitate the evaluation of forecasts in a convenient
framework based on data.table. It allows user to to check their forecasts
and diagnose issues, to visualise forecasts and missing data, to transform
data before scoring, to handle missing forecasts, to aggregate scores, and
to visualise the results of the evaluation. The package mostly focuses on
the evaluation of probabilistic forecasts and allows evaluating several
different forecast types and input formats. Find more information about the
package in the Vignettes as well as in the accompanying paper,
<doi:10.48550/arXiv.2205.07090>.

Nikos Bosse

scoringutils

Utilities for Scoring and Assessing Predictions

Sam Abbott

Hugo Gruson

Johannes Bracher

Toshiaki Asakura 

James Mba Azam

Sebastian Funk

Michael Chirico

check_columns_present function

<dl><dt>data</dt>
<dd>A data.frame or similar to be checked</dd>
<dt>columns</dt>
<dd>A character vector of column names to check</dd></dl>

Arguments

Check column names are present in a data.frame — check_columns_present

<dl>

<dt>data</dt>
<dd>A data.frame or similar to be checked</dd>


<dt>columns</dt>
<dd>A character vector of column names to check</dd>

</dl>

Check column names are present in a data.frame

check_columns_present: Check column names are present in a data.frame

Description

Usage

Value

Arguments