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eventos:venables2007:materiais [2007/09/10 22:57]
paulojus
eventos:venables2007:materiais [2007/09/22 23:56] (atual)
paulojus
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-====== ​Materiais do curso ======+====== ​Venable'​s short course -- materials ​====== 
 + 
 +**Atention:​** the download of the course materials below **DO NO WORK WITH INTERNET EXPLORER**. Use another browser, as for instance [[http://​http://​www.mozilla.com|Mozilla Firefox]]
  
 ==== Course materials ==== ==== Course materials ====
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 | {{eventos:​venables2007:​powerpoint_slides.zip|Slides powerpoint}}| -- | -- | | {{eventos:​venables2007:​powerpoint_slides.zip|Slides powerpoint}}| -- | -- |
    
 +
 ==== Other materials ==== ==== Other materials ====
-  - ASOR package +  - ASOR package ​(//already installed in the C3SL servers//) 
-    * {{eventos:​venables2007:​asor_1.0.tar.gz|.tar.gz file}} (for linux install)+    * {{eventos:​venables2007:​asor_1.0.tar.gz|.tar.gz file}} (for linux install) ​\\ **NOTE:** the WIKI system makes all files lower case(!) so, before installing this in your LINUX box you need to rename the file:<​code>​ 
 +$ mv asor_1.0.tar.gz ASOR_1.0.tar.gz 
 +$ sudo R CMD INSTALL ASOR_1.0.tar.gz 
 +</​code>​
     * {{eventos:​venables2007:​asor_1.0.zip|.zip file}} (for windows install)     * {{eventos:​venables2007:​asor_1.0.zip|.zip file}} (for windows install)
   - Text: {{eventos:​venables2007:​exegeses.pdf|Exegeses in Linear Models}}   - Text: {{eventos:​venables2007:​exegeses.pdf|Exegeses in Linear Models}}
 +  - Additional scripts:
 +    * {{eventos:​venables2007:​boston.r|Boston housing price -- setting training and test data for tree model using ''​rpart()''​ and ''​randomForest''​}}
 +    * {{eventos:​venables2007:​menarche.r|Menarche data -- GLM for binomial counts}}
 +    * {{eventos:​venables2007:​plinear.r|the plinear method for non linear models}}
  
-===== Instructions =====+===== Instructions ​for usage at LM/C3SL - UFPR=====
  
-In the following ''​$''​ is the LINUX prompt ​and ''>''​ is the R prompt+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.
  
-  ​- Open a ''​terminal window'' ​where you can type LINUX commands +In the following instructions the LINUX prompt is ''​$''​ and the R prompt is ''>''​. 
-  - create a working directory called ''​Rmodelling''​ for the course ​and get into the directory:<​code>​+ 
 +  ​- Open a Linux ''​terminal window'' ​for issuing ​LINUX commands 
 +  - create a working directory called, for example, ​''​Rmodelling''​ for use in this course ​move to it:<​code>​
 $ mkdir Rmodelling $ mkdir Rmodelling
 $ cd Rmodelling $ cd Rmodelling
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 Rmodelling$ unzip slides.zip Rmodelling$ unzip slides.zip
 </​code>​ </​code>​
-  - copy two files from the CSV directory to the working directory:<​code>​ +  - copy one file from the CSV directory to the working directory:<​code>​ 
-Rmodelling$ cp CSV/.RData . +Rmodelling$ cp CSV/makeInputData..
-Rmodelling$ cp CSV/​makeInputData ​.+
 </​code>​ </​code>​
   - Start ''​R''​ inside the ''​Rcourse''​ directory --- this will make ''​Rcourse''​ your //working directory//​. You can do this in two different ways:   - Start ''​R''​ inside the ''​Rcourse''​ directory --- this will make ''​Rcourse''​ your //working directory//​. You can do this in two different ways:
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 Rmodelling$ R Rmodelling$ R
 </​code>​ </​code>​
-    * running from inside the editor ''​xemacs'' ​--- open ''​xemacs''​ and stard R from it with ESC SHIFT-X SHIFT-R<​code>​ +    * running from inside the editor ''​xemacs'' ​using the ESS (Emacs Speaks Statistics) package. To do so open ''​xemacs''​ and stard R from it with ''​ESC SHIFT-X SHIFT-R''​<​code>​ 
-Rmodelling$ xemacs &+Rmodelling$ xemacs ​makeInputData.R ​&
 </​code>​ </​code>​
-  - From inside ''​R''​ run the ''​makeInputData.R''​ script<​code>​ +  - From inside ''​R''​ run the ''​makeInputData.r''​ script<​code>​ 
-> source("​makeInputData.R")+> source("​makeInputData.r")
 </​code>​ </​code>​
   - The script will automatically generate another script file called ''​inputData.R''​ which reads all the data needed for the course. This script file should be run with:<​code>​   - The script will automatically generate another script file called ''​inputData.R''​ which reads all the data needed for the course. This script file should be run with:<​code>​
 > source("​inputData.R"​) > source("​inputData.R"​)
 </​code>​ </​code>​
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