Extracts a uniform random sample from a dataset or vector. Provides a simpler API than base R.
Author: Bryce Chamberlain. Tech Review: Maria Gonzalez.

Makes difficult operations easy. Includes these types of functions:
shorthand, type conversion, data wrangling, and work flow.
Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors.
Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.

Bryce Chamberlain

easyr

Helpful Functions from Oliver Wyman Actuarial Consulting

Oliver Wyman Actuarial Consulting

Rajesh Sahasrabuddhe

spl function

<dl><dt>x</dt>
<dd>Data to sample from.</dd>
<dt>n</dt>
<dd>Number or percentage of rows/values to return. If less than 1 it will be interpreted as a percentage.</dd>
<dt>warn</dt>
<dd>Warn if sampling more than the size of the data.</dd>
<dt>replace</dt>
<dd>Whether or not to sample with replacement.</dd>
<dt>seed</dt>
<dd>Set a seed to allow consistent/replicable sampling.</dd>
<dt>...</dt>
<dd>Other parameters passed to sample()</dd></dl>

Arguments

Sample — spl

<dl>

<dt>x</dt>
<dd>Data to sample from.</dd>


<dt>n</dt>
<dd>Number or percentage of rows/values to return. If less than 1 it will be interpreted as a percentage.</dd>


<dt>warn</dt>
<dd>Warn if sampling more than the size of the data.</dd>


<dt>replace</dt>
<dd>Whether or not to sample with replacement.</dd>


<dt>seed</dt>
<dd>Set a seed to allow consistent/replicable sampling.</dd>


<dt>...</dt>
<dd>Other parameters passed to sample()</dd>

</dl>

spl: Sample

Description

Usage

Value

Arguments

Examples