Economics {datasetsICR}

Economics dataset

Description

Performance indicators of Italian Economics faculties.

Usage

data(Economics)

Format

A data.frame with 55 rows on 13 variables.

Details

55 Italian Economics faculties in the academic year 2009/2010 evaluated by 12 indicators (6 productivity indicators, P1, P2, P3A, P3B, P4A and P4B; 6 teaching indicators, D1, D2, D3, D4, D5 and D6). The dataset contains an additional variable, University_Type, distinguishing the faculties in Private and Public type. In the following, the variable description.
P1: Rate of persistence between the first and the second academic year.
P2: Achieved credits.
P3A: Rate of regular students enrolled in the three-year bachelor-level programmes.
P3B: Rate of regular students enrolled in the two-year master-level programmes.
P4A: Rate of regular graduated students in the three-year bachelor-level programmes.
P4B: Rate of regular graduate-students in the two-year master-level programmes.
D1: Permanent professors per credits.
D2: Permanent professors per enrolled student.
D3: Seats per enrolled student in the academic year 2009/2010.
D4: Seats per student enrolled in the academic year 2008/2009.
D5: Researchers to professors ratio.
D6: Monitored teaching activities.

Author(s)

Paolo Giordani, Maria Brigida Ferraro, Francesca Martella

References

Giordani, P., Ferraro, M.B., Martella, F.: An Introduction to Clustering with R. Springer, Singapore (2020)
Raponi, V., Martella, F., Maruotti, A.: A biclustering approach to university performances: an Italian case study. J. Appl. Stat. 43(1), (2015)

Examples

data(Economics)
X <- Economics[,1:12]
class <- Economics[,13]