ensure

These routines are useful when preparing to pass objects to
a Spark routine, as it is often necessary to ensure certain
parameters are scalar integers, or scalar doubles, and so on.

R interface to Apache Spark, a fast and general
engine for big data processing, see <https://spark.apache.org/>. This
package supports connecting to local and remote Apache Spark clusters,
provides a 'dplyr' compatible back-end, and provides an interface to
Spark's built-in machine learning algorithms.

Edgar Ruiz

sparklyr

R Interface to Apache Spark

Javier Luraschi

Kevin Kuo

Kevin Ushey

JJ Allaire

Samuel Macedo

Hossein Falaki

Lu Wang

Andy Zhang

Yitao Li

Jozef Hajnala

Maciej Szymkiewicz

Wil Davis

 RStudio

 The Apache Software Foundation

ensure function

<dl><dt>object</dt>
<dd>An R object.</dd>
<dt>allow.na</dt>
<dd>Are <code>NA</code> values permitted for this object?</dd>
<dt>allow.null</dt>
<dd>Are <code>NULL</code> values permitted for this object?</dd>
<dt>default</dt>
<dd>If <code>object</code> is <code>NULL</code>, what value should
be used in its place? If <code>default</code> is specified, <code>allow.null</code>
is ignored (and assumed to be <code>TRUE</code>).</dd></dl>

Arguments

Enforce Specific Structure for R Objects — ensure

<dl>

<dt>object</dt>
<dd>An R object.</dd>


<dt>allow.na</dt>
<dd>Are <code>NA</code> values permitted for this object?</dd>


<dt>allow.null</dt>
<dd>Are <code>NULL</code> values permitted for this object?</dd>


<dt>default</dt>
<dd>If <code>object</code> is <code>NULL</code>, what value should
be used in its place? If <code>default</code> is specified, <code>allow.null</code>
is ignored (and assumed to be <code>TRUE</code>).</dd>

</dl>

Enforce Specific Structure for R Objects

ensure: Enforce Specific Structure for R Objects

Description

Arguments