The package should include all the datasets and programs required to do all the examples and figures or anything that requires numerical computations. Pls let me know if there is anything missing.

Jan 2004: lkpack.zip has been revised: (i) Some programs have been corrected in line with the latest error list; (ii) Datasets from some exercises have been added; (ii) The assignment symbol "_" has been changed to "<-" to conform with the R1.8.

All programs have been tested in R for Windows. Beware of uppercase-lowercase sensitivity when transporting them to Unix-based systems. Also, since R and Splus are not exactly the same, some work is needed to make the programs run for Splus. For example, the mathematical labeling of plots and the nonlinear optimization function nlm() would have to be replaced.

Disclaimer
The programs are provided in good faith and in the hope that they will be useful, but the author cannot warrant their accuracy nor can he be held responsible for the consequences of their use. The original sources of the datasets are given in the book.

1. If you have not done so, download and install R. (The whole process should take less than 10 minutes.) Note that some examples require some R package. For example, Example 10.6 requires R package 'survival'. The R packages are available in directory /R/bin/windows/contrib in the R website.
2. Windows users: download lkpack.zip (if the mouse left click does not work, click on the right button and choose 'Save Link As'); then unzip it inside a natural subdirectory.

3. You will notice that the files are named according to the example number, figure number or section number; for example, ex4-2.r is the R program for Example 4.2, while fig2-1.r will produce Figure 2.1. Note that sometimes the examples are split; for example ex4-7.r and ex4-7c.r, or ex6-18a.r and ex6-18b.r.

4. Before running R, set the working directory to the subdirectory where you unzip lkpack.zip. (Under Windows, the working directory is set at the 'Properties' menu that you can get by clicking the right mouse button on the R icon.)
5. Start R. An example is run by sourcing the file. For example

  > source('ex2-1.r')

will run the program for Example 2.1. Alternatively, to understand what the program is doing, you can run the program piece-by-piece by copying-and-pasting between an editor and the R command window.