1. R-lab 2
-Dorji Pelzom

2. Basic Statistical Functions
THE MUST KNOW’s
Total sum: sum()
Mean: mean()
Column means: colMeans()
Median: median()
Variance: var()
Covariance matrix: cov()
Correlation between two variables: cor()
Standard deviation: sd()
 Maximum: max()
 Minimum: min()
 Range: range()
 Quantile: quantile()
 Summary: summary()
Always refer to the help files if you are not sure about the function by typing ?function name! For example
> ?summary

8. To plot OC curve p<-c(0,..............................,0.3)
OC<-phyper(c(...),m=floor(....*p),n=.....-floor(.....*p), k=....,lower.tail=TRUE)
plot(p,OC)

10. Lab 3

11. Q1B P<-c(0,. ,0. 4) OC<-phyper(c(. ),m=floor(. p),n=. -floor(
Q1B P<-c(0, ,0.4) OC<-phyper(c(...),m=floor(....*p),n=.....-floor(.....*p), k=....,lower.tail=TRUE) Plot(P,OC) Q 2 A P<-c(0,………………………………,0.4) Pi<-phyper(c(...),m=floor(....*p),n=.....-floor(.....*p), k=....,lower.tail=TRUE) + 1 -phyper(c(...), m=floor(....*p), n=.....-floor(.....*p), k=....,lower.tail=TRUE) Plot(P, Pi) Q2B ASN <- 20*Pi + 40*(1-Pi) Plot(P, ASN)

12. Lab 4

13. For entering data directly
Dataset <- edit(as.data.frame(NULL)) for mac
For windows choose Data -> New data set

21. 1 (B)
For z-values type qnorm()

22. Q 1©
P <- c(0.001, 0.005, 0.007, 0.01, 0.02, 0.03, 0.06, 0.09, 0.12, 0.15, 0.18)
Z <- qnorm(p, mean = 0, sd = 1, lower.tail = TRUE)
OC <- 1 - pnorm(4.472*(Z+2.93), mean = 0, sd = 1, lower.tail = TRUE)
plot(p, OC)

26. Good luck with the lab