Chemistry

The <code>Chemistry</code> data frame has 31022 rows and 7 columns of the
 A-level scores in Chemistry for England and Wales students, 1997.

datasets

Functions for unconditional and conditional quantiles. These
include methods for transformation-based quantile regression,
quantile-based measures of location, scale and shape, methods for quantiles
of discrete variables, quantile-based multiple imputation, restricted
quantile regression, directional quantile classification, and quantile
ratio regression.
A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.

Marco Geraci

Qtools

Utilities for Quantiles

Alessio Farcomeni

Cinzia Viroli

Chemistry function

This data frame contains the following columns:<dl>
 <dt>lea</dt>
<dd>school district ID.</dd> <dt>school</dt>
<dd>school ID.</dd> <dt>id</dt>
<dd>subject ID.</dd> <dt>score</dt>
<dd>a numeric vector of A-level scores in Chemistry.</dd> <dt>sex</dt>
<dd>a factor with levels
 <code>male</code> and
 <code>female</code></dd> <dt>age</dt>
<dd>a numeric vector of ages of the subjects (months).</dd> <dt>gcse</dt>
<dd>a numeric vector of average GCSE scores.</dd> 
</dl>

Format

A-level Chemistry Scores — Chemistry

This data frame contains the following columns:<dl>
 <dt>lea</dt>
<dd>school district ID.</dd>

 <dt>school</dt>
<dd>school ID.</dd>

 <dt>id</dt>
<dd>subject ID.</dd>

 <dt>score</dt>
<dd>a numeric vector of A-level scores in Chemistry.</dd>

 <dt>sex</dt>
<dd>a factor with levels
 <code>male</code> and
 <code>female</code></dd>

 <dt>age</dt>
<dd>a numeric vector of ages of the subjects (months).</dd>

 <dt>gcse</dt>
<dd>a numeric vector of average GCSE scores.</dd>

 
</dl>

Chemistry: A-level Chemistry Scores

Description

Arguments

Format