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.
site
site number, a numeric vector
type
program type, a factor with levels PFT
("Program Follow Through") and NFT
("Non Follow Through")
model
education 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_name
location of site, a character vector
region
US region, a factor with levels NC
, NE
, S
, W
city_size
city size, an ordered factor with levels Rural
< Small
< Medium
< Large
student_pop
size 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.