Atention: the download of the course materials below DO NO WORK WITH INTERNET EXPLORER. Use another browser, as for instance Mozilla Firefox
Course Slides | CSV data files | R scripts |
---|---|---|
PDF slides | CSV files | R scripts |
Slides powerpoint | – | – |
$ mv asor_1.0.tar.gz ASOR_1.0.tar.gz $ sudo R CMD INSTALL ASOR_1.0.tar.gz
At UFPR the course will be run in the LM (Laboratório Multiterminal) run by C3SL (Contro de computação científica e Softaware Livre). The LM provides LINUX terminals connected with servers. The user working area is common meaning you can user whatever terminal and/or server to get access to your account.
In the following instructions the LINUX prompt is $
and the R prompt is >
.
terminal window
for issuing LINUX commandsRmodelling
for use in this course move to it:$ mkdir Rmodelling $ cd Rmodelling
CSV
, Scripts
and Slides
:Rmodelling$ unzip csv.zip Rmodelling$ unzip scripts.zip Rmodelling$ unzip slides.zip
Rmodelling$ cp CSV/makeInputData.r .
R
inside the Rcourse
directory — this will make Rcourse
your working directory. You can do this in two different ways:R
directly from the LINUX terminal
simply by typing R
:Rmodelling$ R
xemacs
using the ESS (Emacs Speaks Statistics) package. To do so open xemacs
and stard R from it with ESC SHIFT-X SHIFT-R
Rmodelling$ xemacs makeInputData.R &
R
run the makeInputData.r
script> source("makeInputData.r")
inputData.R
which reads all the data needed for the course. This script file should be run with:> source("inputData.R")