as.POSIXct_fast

Based on the trick that often dates are repeated in a column, we make date transformation
 faster by computing date transformation only on uniques.

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of 'data.table' efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

Emmanuel-Lin Toulemonde

dataPreparation

Automated Data Preparation

as.POSIXct_fast function

<dl><dt>x</dt>
<dd>An object to be converted</dd>
<dt>...</dt>
<dd>other argument to pass to <code><a href="/link/as.POSIXct?package=dataPreparation&version=1.1.1" data-mini-rdoc="dataPreparation::as.POSIXct">as.POSIXct</a></code></dd></dl>

Arguments

Faster date transformation — as.POSIXct_fast

<dl>

<dt>x</dt>
<dd>An object to be converted</dd>


<dt>...</dt>
<dd>other argument to pass to <code><a href='https://rdrr.io/r/base/as.POSIXlt.html'>as.POSIXct</a></code></dd>

</dl>

as.POSIXct_fast: Faster date transformation

Description

Usage

Value

Arguments

Details

Examples