qswur_usa {ordr}

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"))