# : classical statistics revisited pdf Rnw R
# 10: modeling variance pdf Rnw R
# 11: dynamic models pdf Rnw R
# Appendix: notes on algebra etc. pdf Rnw R
R user John Christie points out a handy feature introduced in R 2.10: you can now read directly from a text file compressed using gzip or other file-compression tools. He notes: R added transparent decompression for certain kinds of compressed files in the latest version (2.10). If you have your files compressed with bzip2, xvz, or gzip they can be read into R as if they are plain text files. You should have the proper filename extensions. The command... myData <- read.table('myFile.gz') #gzip compressed files have a "gz" extension Will work just as if 'myFile.gz' were the raw text file....
using Eclipse (without R code), you can go to File - New Project (Texlipse - LaTeX Project). Once you have a basic working environment, it's easy to experiment with all the details of LaTeX. Here are some we
M. Gschwandtner, und P. Filzmoser. Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Volume 190 von Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg, (2013)
V. Todorov, und P. Filzmoser. Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Volume 190 von Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg, (2013)