I have put those commands together here, but I ran the install first, got the success message, then loaded the library.Īfter that I was able to load the arff data file using the read. The last step was to install the RWeka package, and then load the library. This Mac app was originally developed by University of Waikato. The most popular version among the application users is 3.6. The program lies within Developer Tools, more precisely IDE.
Click here to download a disk image for Mac OS that contains a Mac application including. Install the RWeka package in R (or RStudio): weka- 3.9.5 for Mac can be downloaded from our website for free. This project forked from JiaWu-Repository/How-to-install-Weka. The “non-zero exit status” was probably a result of the previous errors, and I could not figure out what if there was another possible reason for it, so I decided to keep going.ģ. I was a bit worried about all those errors but then I realized I had already installed rJava before, hence the “restorng previous…” message. Install.packages(“rJava”,type = “source”) I’m using RStudio here, but either way the command would be: Relink R with the installed Java Library on OS X. Here is the solution I found after a lovely Sunday morning jumping from thread to the thread on the ever helpful Stack Overflow:ġ. When I tried to install the RWeka package into RStudio (on Mac OS X) I ran into a few issues and errors mostly involving Java. arff dosyas ile WEKA modelleme halatlarn uyguluyorum ve buradaki eitli yaynlardan, 63 ile 73 arasnda deien hassasiyetini ayarlayabildim. I was curious to see if I could do it more directly.Īfter some research I found that there are several options, one of which is the RWeka library. The first option, which is what most of my classmates are doing, is of course is to load the data into Weka and convert it to a CSV file and then load that file into R using the read.csv() command.
arff data files from Weka into R so that I can access the data to run the assigned tasks. To meet my goal of improving my R skills while taking this class I needed to find a way to read. Weka - Installation, To install WEKA on your machine, visit WEKAâ s official website and download the installation file. I use the following command: java -Xmx200m -jar weka. If this happens, you can rerun it and tell java to allocate more memory.
Then issue the command java -jar weka.jar Sometimes, WEKA may run out of memory. We are using Weka 3 which so far is proving to be a pretty neat (FREE) data mining tool. To run WEKA, you should open a command prompt window (on Windows) or a terminal window (on mac or unix) and go to the 'weka-3-4' folder. The next step is to install Homebrew Cask Extension. Install Homebrew package manager for OS X.
I’m currently taking a data mining class, and I’m trying to do as much of the coding in the class using R for practice. I will write many more entries in the weeks to come but heres a quick tutorial on how to install it using homebrew.