ipums_collect

Convenience wrapper around dplyr's <code><a href="https://dplyr.tidyverse.org/reference/compute.html">collect()</a></code> and
<code>set_ipums_var_attributes()</code>. Use this to attach variable labels when
collecting data from a database.

An easy way to work with census, survey, and geographic data
provided by IPUMS in R. Generate and download data through the IPUMS
API and load IPUMS files into R with their associated metadata to
make analysis easier. IPUMS data describing 1.4 billion individuals
drawn from over 750 censuses and surveys is available free of charge
from the IPUMS website <https://www.ipums.org>.

Derek Burk 

ipumsr

An R Interface for Downloading, Reading, and Handling IPUMS Data

Greg Freedman Ellis 

Finn Roberts 

Joe Grover 

Dan Ehrlich 

Renae Rodgers 

Institute for Social Research and Data Innovation 

ipums_collect function

<dl><dt>data</dt>
<dd>A dplyr <code>tbl</code> object (generally a <code>tbl_lazy</code>
object stored in a database).</dd>
<dt>ddi</dt>
<dd>An ipums_ddi object created with <code>read_ipums_ddi()</code>.</dd>
<dt>var_attrs</dt>
<dd>Variable attributes to add to the output. Defaults to
all available attributes.
See <code>set_ipums_var_attributes()</code> for more details.</dd></dl>

Arguments

Convenience wrapper around dplyr's <code><a href='https://dplyr.tidyverse.org/reference/compute.html'>collect()</a></code> and
<code>set_ipums_var_attributes()</code>. Use this to attach variable labels when
collecting data from a database.

Collect data into R session with IPUMS attributes — ipums_collect

<dl>

<dt>data</dt>
<dd>A dplyr <code>tbl</code> object (generally a <code>tbl_lazy</code>
object stored in a database).</dd>


<dt>ddi</dt>
<dd>An ipums_ddi object created with <code>read_ipums_ddi()</code>.</dd>


<dt>var_attrs</dt>
<dd>Variable attributes to add to the output. Defaults to
all available attributes.
See <code>set_ipums_var_attributes()</code> for more details.</dd>

</dl>

ipums_collect: Collect data into R session with IPUMS attributes

Description

Usage

Value

Arguments