demo/cs17.r

In s20x: Functions for University of Auckland Course STATS 201/208 Data Analysis

data (bursary.df)
bursary.df
plot(pass.rate~decile,main="Pass rate versus decile",data=bursary.df)
trendscatter(pass.rate~decile,f=0.95,data=bursary.df)
bursary.fit<-lm(pass.rate~decile,data=bursary.df)
residPlot(bursary.fit,f=0.95)
bursary.df<-within(bursary.df,{fail.rate<-100-pass.rate})
bursary.fit1<-lm(fail.rate~decile,data=bursary.df)
residPlot(bursary.fit1,f=0.95)
bursary.fit2<-lm(log(fail.rate)~decile,data=bursary.df)
residPlot(bursary.fit2,f=0.95)
eovcheck(bursary.fit2)
normcheck(bursary.fit2)
summary(bursary.fit2)
exp(ciReg(bursary.fit2))