qswur_usa

Classifications and rankings of U.S. universities for the years
2017--2020.

datasets

Ordination comprises several multivariate exploratory and
explanatory techniques with theoretical foundations in geometric data
analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and
applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for
foundations.
Greenacre (2010, ISBN:978-84-923846) shows how the most established of
these, including principal components analysis, correspondence analysis,
multidimensional scaling, factor analysis, and discriminant analysis,
rely on eigen-decompositions or singular value decompositions of
pre-processed numeric matrix data.
These decompositions give rise to a set of shared coordinates along which
the row and column elements can be measured. The overlay of their
scatterplots on these axes, introduced by Gabriel (1971)
<doi:10.1093/biomet/58.3.453>, is called a biplot.
'ordr' provides inspection, extraction, manipulation, and visualization
tools for several popular ordination classes supported by a set of recovery
methods. It is inspired by and designed to integrate into 'tidyverse'
workflows provided by Wickham et al (2019) <doi:10.21105/joss.01686>.

Jason Cory Brunson

ordr

A 'tidyverse' Extension for Ordinations and Biplots

Emily Paul

qswur_usa function

A <a href="https://tibble.tidyverse.org/reference/tibble.html">tibble</a> of 13 variables on 612 cases:<dl>
<dt>year</dt>
<dd>year of rankings</dd><dt>institution</dt>
<dd>institution of higher learning</dd><dt>size</dt>
<dd>size category of institution</dd><dt>focus</dt>
<dd>subject range of institution</dd><dt>res</dt>
<dd>research intensity of institution</dd><dt>age</dt>
<dd>age classification of institution</dd><dt>status</dt>
<dd>status of institution</dd><dt>rk_academic</dt>
<dd>rank by academic reputation</dd><dt>rk_employer</dt>
<dd>rank by employer reputation</dd><dt>rk_ratio</dt>
<dd>rank by faculty--student ratio</dd><dt>rk_citations</dt>
<dd>rank by citations per faculty</dd><dt>rk_intl_faculty</dt>
<dd>rank by international faculty ratio</dd><dt>rk_intl_students</dt>
<dd>rank by international student ratio</dd>
</dl>

Format

U.S. university rankings — qswur_usa

A <a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble</a> of 13 variables on 612 cases:<dl>
<dt>year</dt>
<dd>year of rankings</dd>

<dt>institution</dt>
<dd>institution of higher learning</dd>

<dt>size</dt>
<dd>size category of institution</dd>

<dt>focus</dt>
<dd>subject range of institution</dd>

<dt>res</dt>
<dd>research intensity of institution</dd>

<dt>age</dt>
<dd>age classification of institution</dd>

<dt>status</dt>
<dd>status of institution</dd>

<dt>rk_academic</dt>
<dd>rank by academic reputation</dd>

<dt>rk_employer</dt>
<dd>rank by employer reputation</dd>

<dt>rk_ratio</dt>
<dd>rank by faculty--student ratio</dd>

<dt>rk_citations</dt>
<dd>rank by citations per faculty</dd>

<dt>rk_intl_faculty</dt>
<dd>rank by international faculty ratio</dd>

<dt>rk_intl_students</dt>
<dd>rank by international student ratio</dd>


</dl>

qswur_usa: U.S. university rankings

Description

Usage

Arguments

Format

Details

References

Examples