12. Download R
10. F F F F F
F F F F F Browse
F F F Next
F
13. Download R
11. F F F F
4 F F User installation F Minimal user installation F
F F F Full installation F F
Custom installation FF F F F Full
installation Next
15. F R F
R Shortcut R 2.11.1 F Desktop
F F F R Console
16. Execute R Console
1 F R Console
F F F sqrt(625) F Enter F
F F 25 F F
F F F
17. Execute R Console
2 F FR
F
1. text editor F notepad F
F F F
18. Execute R Console
2. F F F save F F FR
F F save F F *.r F test.r
F F Save as type All Files Save
F
19. Execute R Console
3. FR Execute F
R Console File->Source R code F FR F
F F
20. Execute R Console
F F F F
F F F source( F R ) F Enter
F F source( c:/test.r ) F
21. package F F
package F F F F F F
F Internet F F F packages R Console F
install package(s) F CRAN mirror F F Mirror
Thailand F F2 F F F
packages F F F
22. package F F
package xlsReadWrite
package F R F
F F excel(2003) F
package F xlsReadWrite
F OK Download package
F
23. package F F
package F F F F R
package F F F package
Packages R Console F load package
package F F F F F
xlsReadWrite package load F package
24. package F F
package xlsReadWrite F F F F F
F F package F F
F xls.getshlib() F F Enter R
download F F F F F
F F F F F package
F F F
25. F package
F F package F F F F
help( package ) F F Help( xlsReadWrite ) F Enter F
F F F F F excel F R
F package xlsReadWrite F help package F F
rdata <- read.xls( "c:/test.xls") F Enter F F rdata F Enter F rdata
F F
26. F R F
F F F F (Completely Randomized Design)
F
F F F F F
F F ( 500 ) F F F
4 1, 2, 3 4 F F 4, 5, 3 5 F
F
FR F F
F F F
27. F F 4
F F
F
F F F µj
µj F
j, j = 1, 2, 3, 4
F F R F
Fy F F treatment
R console F F
y <- c(37,35,38,36,37,35,38,36,37,32,36,40,35,27,33,31,29)
treatment <- rep(c(1,2,3,4),c(4,5,3,5))
F F F Fy F F F F
F treatment F F y F F F
F F F F
28.
29. F F F F
F F tapply() F
tapply(y,treatment,min) F
tapply(y,treatment,max) F
tapply(y,treatment,mean) F
tapply(y,treatment,sd) F
F F F
34. F
H0 : σ12= σ22= σ32= σ42
H1 : σn2≠ σm2 , n≠m
Bartlett s K-squared F F 5.8242 F P F 0.1205 F 0.05 FF F
4 F F F
ANOVA F F
candefect.anova <- aov(y~treatment)
summary(candefect.anova)
F F F
35. F
H0 : µ1 = µ2 = µ3 = µ4
H1 : µm ≠ µn , m ≠ n = 1, 2, 3, 4
α = 0.05 F F= 5.497 F F F F0.05,(3,13) = 3.41 F p F F
0.012 F F 0.05 H0
F F F
F (α = 0.05)
F F F FF F
F F F F F
36. F F F R F
http://www.rforthai.net as the web community for Thai R-Project users
http://www.clinicalepi.com/2009/02/r-odds-ratio.html as the example of the use of R to
compute Odds Ratio
http://www.hsri.or.th/upload/R2R2010/powerpoint/R2R-Using%2520R%2520Program.pdf
F R F F R2R
http://bls.buu.ac.th/~f52325/Homework_3_9_52/50034418/50034418.doc R on Ubuntu
http://www.kmitl.ac.th/~kskallay/pdf/R%20program1.pdf F R F
F
http://cran.r-project.org/manuals.html R manual
F F F R F