library(dplyr)
schoolsites <- read.csv("data-raw/schoolsites.csv")
schoolsites <- schoolsites |>
mutate(type = factor(type, levels = c("PFT", "NFT")),
model = factor(model),
region = factor(region),
city_size = ordered(city_size, levels = c("Rural", "Small", "Medium", "Large")))
str(schoolsites)
save(schoolsites, file = "data/schoolsites.RData")
source("C:/Dropbox/R/functions/use_data_doc.R")
use_data_doc(schoolsites, filename = "data-raw/schoolsites-doc.R")
# examples
data(schoolsites)
data(schooldata)
schools <- cbind(schooldata, schoolsites)
schools.mod0 <- lm(cbind(education, occupation, visit, counseling, teacher, reading, mathematics, selfesteem) ~
type + model + region, data = schools)
car::Anova(schools.mod)
schools.mod <- lm(cbind(reading, mathematics, selfesteem) ~
education + occupation + visit + counseling + teacher +
type + region, data = schools)
car::Anova(schools.mod)
heplot(schools.mod)
pairs(schools.mod, terms = "type")
library(candisc)
schools.can <- candisc(schools.mod, term = "type")
schools.can
plot(schools.can)
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