heights

You might have heard that taller people earn more. Is it true? You can
try and answer the question by exploring this dataset extracted from the
<a href="https://www.nlsinfo.org">National Longitudinal Study</a>, which is
sponsored by the U.S. Bureau of Labor Statistics.

datasets

Functions for modelling that help you seamlessly integrate
modelling into a pipeline of data manipulation and visualisation.

Hadley Wickham

modelr

Modelling Functions that Work with the Pipe

RStudio 

heights function

<dl>
<dt>income</dt>
<dd>Yearly income. The top two percent of values were averaged
and that average was used to replace all values in the top range.</dd><dt>height</dt>
<dd>Height, in inches</dd><dt>weight</dt>
<dd>Weight, in pounds</dd><dt>age</dt>
<dd>Age, in years, between 47 and 56.</dd><dt>marital</dt>
<dd>Marital status</dd><dt>sex</dt>
<dd>Sex</dd><dt>education</dt>
<dd>Years of education</dd><dt>afqt</dt>
<dd>Percentile score on Armed Forces Qualification Test.</dd>
</dl>

Format

You might have heard that taller people earn more. Is it true? You can
try and answer the question by exploring this dataset extracted from the
<a href='https://www.nlsinfo.org'>National Longitudinal Study</a>, which is
sponsored by the U.S. Bureau of Labor Statistics.

Height and income data. — heights

<dl>
<dt>income</dt>
<dd>Yearly income. The top two percent of values were averaged
and that average was used to replace all values in the top range.</dd>

<dt>height</dt>
<dd>Height, in inches</dd>

<dt>weight</dt>
<dd>Weight, in pounds</dd>

<dt>age</dt>
<dd>Age, in years, between 47 and 56.</dd>

<dt>marital</dt>
<dd>Marital status</dd>

<dt>sex</dt>
<dd>Sex</dd>

<dt>education</dt>
<dd>Years of education</dd>

<dt>afqt</dt>
<dd>Percentile score on Armed Forces Qualification Test.</dd>


</dl>

heights: Height and income data.

Description

Usage

Arguments

Format

Details