qswur_usa {ordr} | 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"))
[Package ordr version 0.2.0 Index]