Homework [* All assignments are tentative until a date is assigned *]
- Print out a copy of the syllabus. In addition, install a copy of R on your home computer or ask your local departmental lab person to install a copy for your use. R is available in the Math/Stat lab if you can not get a local copy. Associated Ref - Dalgaard Appendix A:
- Go to http://www.r-project.org/
- Follow the download link associated the text "R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror."
- Select a US site (e.g. http://www.biometrics.mtu.edu/CRAN/)
- Download a precompiled binary version of the software (for your OS - MacOS, Windows, Linux). NOTE: approx. 29 Mb in size.
- Install R (e.g. double-click R executable file)
- Start R (double-click R icon, type demo("graphics"), then quit R - q()
(Due: it soon)
- Pick up a recent journal in your discipline. What proportion/fraction of articles include: 1) descriptive statistics; 2) inferential statistics; 3) both descriptive and inferential statistics. Include a full citation of the journal as part of your response. (Due: 25 Aug 06)
- OL 1.1; 1.3 (Due: 30 Aug. 2006)
- OL 2.2; 2.11 (Due: 01 Sep. 2006)
- OL 3.2; 3.6; 3.12; 3.14 (Due: 13 Sep. 2006)
- OL 3.22; 3.24; 3.36 (no rounding); 3.40; 3.44 (Due: 15 Sep. 2006)
- OL 3.48; 3.50; 3.53; 3.56 (Due: 20 Sep. 2006)
- OL 4.3; 4.12; 4.13; 4.14; 4.18 (Due: 27 Sep. 2006)
- OL 4.39; 4.48; 4.64; 4.70; 4.74; 4.78; 4.87; 4.90; 4.92; 4.94; 4.95 (Due: 02 Oct. 2006)
- OL 5.6; 5.8; 5.10; 5.14; 5.20; 5.21 (Due: 20 Oct. 2006)
- OL 5.37a, 5.38acd, 5.39 (Due: 30 Oct. 2006)
- OL 5.40, 5.41, 5.42, 5.44, 5.46 (Due: 03 Nov. 2006)
- OL 5.52 a,b (use qqnorm), c, d; 5.53; 5.54 (use "plot" to help answer this); 5.58; 5.79abc; 5.80; 5.81; 5.98 (Due: 10 Nov. 2006)
- OL 6.4; 6.14; 6.20; 6.28 (Due: 27 Nov. 2006)
- OL 8.26; 10.5; 10.34; 10.60c; 11.29; 11.30 (Due: 04 Dec. 2006)
- You can play with installing packages for R -- Alternatively, packages can be downloaded and installed from within R. First set the option CRAN to your nearest CRAN mirror using choooseCRANmirror(). Then download and install packages pkg1 and pkg2 by > install.packages(c("pkg1", "pkg2")) Unless the library is specified (argument lib) the first library in the library search path is used. If you want to fetch a package and all those it depends on that are not already installed, use e.g. > install.packages("Rcmdr", dependencies = TRUE)