| schoolsites | R Documentation |
Descriptors for the sites of the schooldata dataset, from Charnes et al. (1981).
The study was designed to compare schools using Program Follow Through (PFT)
management methods of taking actions to achieve goals with those of
Non Follow Through (NFT). Observations 1:49 came from PFT sites
and 50:70 from NFT sites.
This dataset gives other descriptors for the sites, from their Exhibit C.
data("schoolsites")
A data frame with 70 observations on the following 7 variables.
sitesite number, a numeric vector
typeprogram type, a factor with levels PFT ("Program Follow Through") and NFT ("Non Follow Through")
modeleducation style model, a factor with levels BA, Bank Street,
California Process, Cognitive Curriculum, DIM, EDC, Home-School,
ILM, Parent Education, Responsive Education, SEDL, TEEM
site_namelocation of site, a character vector
regionUS region, a factor with levels NC, NE, S, W
city_sizecity size, an ordered factor with levels Rural < Small < Medium < Large
student_popsize of the student population, a numeric vector
A. Charnes, W.W. Cooper and E. Rhodes (1981). Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through. Management Science, 27, 668-697, Exhibit C.
schooldata
data(schoolsites)
str(schoolsites)
schools <- cbind(schooldata, schoolsites)
schools.mod <- lm(cbind(reading, mathematics, selfesteem) ~
education + occupation + visit + counseling + teacher +
type + region, data = schools)
car::Anova(schools.mod)
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