Multivariate Statistics: Solutions and Exercises by W. Härdle and Z. Hlávka

ERRATA

Data sets:

• Data sets (in text format) may be download here. Note that these data sets are already included in R and XploRe libraries.

Computer codes:

• R codes for most of the exercises are available as library MVAexercise for Linux (MVAexercise_1.6.tar.gz) and Windows (MVAexercise_1.6.zip).
• XploRe codes for all exercises are available for Windows and Linux.

R instructions:

• Download and install the MVAexercise library (Windows: Install from local ZIP file, Linux: "R CMD INSTALL MVAexercise_1.6.tar.gz").
• Load the library: library(MVAexercise).
• The data sets can be accessed using data() function. Try, e.g., data(food) to load the data set food and help(food) to display its description.
• The codes can be executed either using the name of the function or with the demo() command, e.g., SMSfactfood() or demo(SMSfactfood).
• help(SMSfactfood) displays the help file.

XploRe instructions:

• Download the zip file.
• Unpack the data sets into the data subdirectory of XploRe (use getenv() to locate it).
• The programs can be now loaded into XploRe and executed.

Additional data set: bostonh.dat & bostonh.R.

Password protected slides: mvafolie.pdf.