sdf_project

Project features onto principal components

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

sdf_project function

<dl><dt>object</dt>
<dd>A Spark PCA model object</dd>
<dt>newdata</dt>
<dd>An object coercible to a Spark DataFrame</dd>
<dt>features</dt>
<dd>A vector of names of columns to be projected</dd>
<dt>feature_prefix</dt>
<dd>The prefix used in naming the output features</dd>
<dt>...</dt>
<dd>Optional arguments; currently unused.</dd></dl>

Arguments

Project features onto principal components — sdf_project

<dl>

<dt>object</dt>
<dd>A Spark PCA model object</dd>


<dt>newdata</dt>
<dd>An object coercible to a Spark DataFrame</dd>


<dt>features</dt>
<dd>A vector of names of columns to be projected</dd>


<dt>feature_prefix</dt>
<dd>The prefix used in naming the output features</dd>


<dt>...</dt>
<dd>Optional arguments; currently unused.</dd>

</dl>

Project features onto principal components

sdf_project: Project features onto principal components

Description

Usage

Arguments