Galgo For R 3

This is the new version of Galgo 1.2 for R 3.
** NOW UPDATED TO 1.3 ** (fixes some problems in compiling from sources)

Thanks for all galgo users. We have considered all e-mails and requests to provide a version of Galgo for R 3. The new version of R 3 is a major revision, so galgo was also revised to be able to run smoothely in R 3.

Changes in Galgo 1.3:
- Small fix of compiling sources

Changes in Galgo 1.2:
- No major changes to original functionality.
- Minor Bugs corrected.
- Adaptations for R 3 was needed. All internal classifiers are now using "_R_" or "_C_", for example, knn_R_predict or mlhd_C_predict and so on for svm, nascent, knit, repeat, random forest (rainforest), etc. This has no effect on most users.
- Galgo 1.2 should be now available in CRAN soon (it was submitted on 25/March/2014). This will allow installations using the standard install.packages("galgo") in the command line. We still provide sources here.

Galgo source is available on the links below.

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MANUAL INSTALLATION OF THE SOURCE PACKAGE (updated to 1.3)
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On Windows:
(1) You may need Rtools for this. see http://cran.r-project.org/bin/windows/
(2) Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
(3) Download galgo_1.3.tar.gz file.
(4) Open the CMD terminal program.
(5) cd to the folder where your compressed galgo file is.
(6) Make sure R is under your PATH. Type: echo %PATH%. If yes, jump to 8.
(7) Add R to your path (adapt your version and location), type: SET PATH=%PATH%;C:\Program Files\R\R-3.0.2\bin;
(8) type: R CMD INSTALL galgo_1.3.tar.gz
(9) Run R and type "library(galgo)". It should now work.

On Mac OS X:
(1) Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
(2) Download galgo_1.3.tar.gz file.
(3) In R, Select option "Package Installer" from "Packages & Data" menu.
(4) Select "local source package" in the "Packages Repository"
(5) Click on "Install" button.
(6) Select galgo_1.3.tar.gz from the download location.
(7) type "library(galgo)". It should now work.

On Linux:
(1) Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
(2) Download galgo_1.3.tar.gz file.
(3) Open a terminal.
(4) cd to the folder where your compressed galgo file is.
(5) type: R CMD INSTALL galgo_1.3.tar.gz
(6) Run R and type "library(galgo)". It should now work.

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MANUAL INSTALLATION OF THE BINARY PACKAGE (only 1.2)
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On Windows:
(1) Download the galgo_1.2.zip file.
(2) Open R.
(3) Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
(4) Select "Install Packages from local zip files..."
(5) Choose the galgo_1.2.zip file from your download location.
(6) type "library(galgo)". It should work.

On Mac OS X:
(1) Download the galgo_1.2.tgz file.
(2) Open R.
(3) Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
(4) Select "local binary package" in the "Packages Repository"
(5) Click on "Install" button.
(6) Select galgo_1.2.tar.gz from the download location.
(7) type "library(galgo)". It should now work.

AttachmentSize
Tutorial.pdf (The main document to learn/use Galgo)3.04 MB
Galgo.pdf (R default documentation functions)189.56 KB
galgo_1.2.tar.gz (Galgo 'source' package for manual installation)3.93 MB
galgo_1.2.tgz (Binary package for Mac OS X, build on R 3.0.3)4.32 MB
galgo_1.2.zip (Binary package for Windows build on R 3.0.2)4.34 MB
galgo_1.3.tar.gz ('source' package for manual installation) ** FIXED DEC/2016 **3.93 MB