qswur_usa: U.S. university rankings
In ordr: A 'tidyverse' Extension for Ordinations and Biplots

qswur_usa

R Documentation

U.S. university rankings

Description

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

Usage

data(qswur_usa)

Format

A tibble of 13 variables on 612 cases:

year: year of rankings
institution: institution of higher learning
size: size category of institution
focus: subject range of institution
res: research intensity of institution
age: age classification of institution
status: status of institution
rk_academic: rank by academic reputation
rk_employer: rank by employer reputation
rk_ratio: rank by faculty–student ratio
rk_citations: rank by citations per faculty
rk_intl_faculty: rank by international faculty ratio
rk_intl_students: rank by international student ratio

Details

Ranking data were obtained from the public QS website.

Source

Quacquarelli Symonds (2021).

References

Quacquarelli Symonds (2021) "University Rankings". TopUniversities.com https://www.topuniversities.com/university-rankings.

Examples

# subset QS data to rank variables
head(qswur_usa)
qs_ranks <- subset(
  qswur_usa,
  complete.cases(qswur_usa),
  select = 8:13
)
# calculate Kendall correlation matrix
qs_cor <- cor(qs_ranks, method = "kendall")

# calculate eigendecomposition
qs_eigen <- eigen_ord(qs_cor)
# view correlations as cosines of biplot vectors
biplot(x = qs_eigen$vectors, y = qs_eigen$vectors, col = c(NA, "black"))

ordr documentation built on Oct. 21, 2022, 1:07 a.m.