interlace256

deinterlace256

interlace256_columns

deinterlace256_columns

Some processes do not accept raw vectors so it can be
necessary to convert our vectors to integers.

Uses raw vectors to minimize memory consumption of categorical
variables with fewer than 256 unique values. Useful for analysis of large
datasets involving variables such as age, years, states, countries, or
education levels.

Hugh Parsonage

factor256

Use Raw Vectors to Minimize Memory Consumption of Factors

interlace256 function

<dl><dt>w, x, y, z</dt>
<dd>Raw vectors. A vector may be <code>NULL</code> if fewer than four
vectors need to be compressed.</dd>
<dt>u</dt>
<dd>An integer vector.</dd>
<dt>DT</dt>
<dd>A <code>data.frame</code> containing raw vectors to be interlaced.</dd>
<dt>new_colnames</dt>
<dd>A mechanism for producing the new columns. Currently only
<code>1L</code> is implemented, the default mechanism.</dd></dl>

Arguments

Interlace raw vectors — interlace256

<dl>

<dt>w, x, y, z</dt>
<dd>Raw vectors. A vector may be <code>NULL</code> if fewer than four
vectors need to be compressed.</dd>


<dt>u</dt>
<dd>An integer vector.</dd>


<dt>DT</dt>
<dd>A <code>data.frame</code> containing raw vectors to be interlaced.</dd>


<dt>new_colnames</dt>
<dd>A mechanism for producing the new columns. Currently only
<code>1L</code> is implemented, the default mechanism.</dd>

</dl>

interlace256: Interlace raw vectors

Description

Usage

Value

Arguments