datasetsICR (version 1.0)

Economics: 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.

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

# NOT RUN {
data(Economics)
X <- Economics[,1:12]
class <- Economics[,13]

# }