estimate

is_estimate

as_estimate

A numeric vector that stores margin-of-error information along with it.
The margin of error will update through basic arithmetic operations, using a
first-order Taylor series approximation. The implicit assumption is that the
errors in each value are uncorrelated. If in fact there is correlation, the
margins of error could be wildly under- or over-estimated.

Extracting desired data using the proper Census variable names can
be time-consuming. This package takes the pain out of that process by
providing functions to quickly locate variables and download labeled tables
from the Census APIs (<https://www.census.gov/data/developers/data-sets.html>).

Cory McCartan

easycensus

Quickly Find, Extract, and Marginalize U.S. Census Tables

estimate function

<dl><dt>x</dt>
<dd>A numeric vector containing the estimate(s).</dd>
<dt>se</dt>
<dd>A numeric vector containing the standard error(s) for the
estimate(s). Users should supply either <code>se</code> or <code>moe</code> and <code>conf</code>.</dd>
<dt>moe</dt>
<dd>A numeric vector containing the margin(s) of error. Users should
supply either <code>se</code> or <code>moe</code> and <code>conf</code>.</dd>
<dt>conf</dt>
<dd>The confidence level to use in converting the margin of error to
a standard error. Defaults to 90%, which is what the Census Bureau uses for
ACS estimates.</dd></dl>

Arguments

Estimate class — estimate

<dl>

<dt>x</dt>
<dd>A numeric vector containing the estimate(s).</dd>


<dt>se</dt>
<dd>A numeric vector containing the standard error(s) for the
estimate(s). Users should supply either <code>se</code> or <code>moe</code> and <code>conf</code>.</dd>


<dt>moe</dt>
<dd>A numeric vector containing the margin(s) of error. Users should
supply either <code>se</code> or <code>moe</code> and <code>conf</code>.</dd>


<dt>conf</dt>
<dd>The confidence level to use in converting the margin of error to
a standard error. Defaults to 90%, which is what the Census Bureau uses for
ACS estimates.</dd>

</dl>

estimate: Estimate class

Description

Usage

Value

Arguments

Examples