switch_pipeline

Branch a <code>dplyr</code> pipeline based on a set of conditions

A dataframe validation framework for package builders who use
dataframes as function parameters. It performs checks on column names, coerces
data-types, and checks grouping to make sure user inputs conform to a
specification provided by the package author. It provides a mechanism for
package authors to automatically document supported dataframe inputs and
selectively dispatch to functions depending on the format of a dataframe much
like S3 does for classes. It also contains some developer tools to make
working with and documenting dataframe specifications easier. It helps package
developers to improve their documentation and simplifies parameter validation
where dataframes are used as function parameters.

Robert Challen

interfacer

Define and Enforce Contracts for Dataframes as Function
Parameters

switch_pipeline function

<dl><dt>.x</dt>
<dd>a dataframe</dd>
<dt>...</dt>
<dd>a list of formulae of the type <code>predicate ~ purrr function</code> using
<code>.x</code> as the single parameter</dd></dl>

Arguments

Branch a dplyr pipeline based on a set of conditions — switch_pipeline

<dl>

<dt>.x</dt>
<dd>a dataframe</dd>


<dt>...</dt>
<dd>a list of formulae of the type <code>predicate ~ purrr function</code> using
<code>.x</code> as the single parameter</dd>

</dl>

switch_pipeline: Branch a `dplyr` pipeline based on a set of conditions

Description

Usage

Value

Arguments

Examples