Installation Guide

Step 1: Install prerequisites

Please read and install the prerequisites.

❗The most common installation problem is that the prerequisites are not installed.❗

Choose your operating system:

0. Check if you are logged into an admin account

MacOS requires users to have administrator (admin) privileges to install applications. At several points during the installation, MacOS will ask for your account password to verify installation. Installation will fail if your MacOS account doesn’t have admin privileges.

How to check if I have an admin account?

Open Terminal (in the /Applications/Utilities folder). Copy the command line shown below into the terminal window.

 sudo ls

You will be prompted for a password. This is the password of the MacOS account you are logged in as. If you have an admin account, MacOS will show the files in the current directory. If not, you will receive an error message. Alternately, click anywhere on the desktop to activate the MacOS menu bar, click on the Apple icon at the top left of the menu bar, then “System Preferences” or “System Settings”, then “Users & Groups”. Find your current account and verify that it has admin privileges.

What if I don’t have an admin account?

You will need to create a new account with admin privileges or change the privileges of your current account, see https://support.apple.com/guide/mac-help/change-users-groups-settings-mtusr001/mac . If your computer is administered by others, ask them to create an admin account for you.

1. Install R, version 4 or higher

Click here to install the latest version of the R language for Mac. Find the latest package (.pkg) file, click to download, then open and install. There are different versions of R for older Macs with Intel CPUs and newer Macs with Apple CPUs (M1/M2). Choose the correct version, either “Intel 64-bit” or “Apple silicon ARM64”.

To verify R installation: R will be installed in the /Applications folder. Open this folder and double-click on the R icon to start R. After starting R, we recommend that you right-click on the R icon in the Dock and select “Options”/“Keep in Dock” to make it easier to launch with a single click. We also recommend starting R, opening the “Preferences”/“Startup” tab, and change “Save workspace on exit from”R” to “No”. Uncheck the box “Read history file on startup”. To check the current version of “R”, start R and enter the following into the console:

R.version

This will produce a number of lines of output, beginning with something like

 platform       x86_64-apple-darwin17.0     
 arch           x86_64

2. homebrew package manager

Installation requires the latest version of the homebrew package manager. Open Terminal (in the /Applications/Utilities folder). Copy the command line shown below into the terminal window.

/usr/bin/env bash

Copy the line below into the terminal window.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

This step will take several minutes to complete. Wait until the installation is finished and the command prompt reappears before moving to the next step.

Add brew to your path or the next installation steps will fail. The installer provides the necessary command lines in the Terminal window at the conclusion of the previous step. Execute them in the same terminal window by copying and pasting. They will look something like

echo 'eval "$(/opt/homebrew/bin/brew shellenv)"' >> ~/.zprofile
eval "$(/opt/homebrew/bin/brew shellenv)"

These commands will not produce any output.

To verify brew installation: Copy the command line shown below into the terminal window.

brew --version

Should produce a result like

 Homebrew 3.4.1
 Homebrew/homebrew-core (git revision f03c984ad7; last commit 2022-03-08)

3. Install libraries using brew

Enter this command into the terminal window:

brew install hdf5 fftw pkg-config cmake libpng

This step will install the hdf5 (high-performance file system), fftw (fast-fourier transform library), pkg-config (package configuration toolbox), cmake (cross-platform make for compiling optional packages such as ant), libpng (library for manipulating png images) and takes several minutes to complete. Wait until the installation is finished and the command prompt reappears before moving to the next step.

4. Finished with prerequisites

Scroll to the top of the page and click on the “Install” tab to return to the full installation guide.

5. Troubleshooting

You may receive this message

 Warning: macOS is reporting that you have not yet agreed to the Xcode license. This can occur if Xcode has been updated or reinstalled (e.g. as part of a macOS update). Some features (e.g. Git / SVN) may be disabled.

To make this error go away, open the Terminal app in the Applications folder, enter

sudo xcodebuild -license accept

Then restart RStudio. A helpful article in case of XCode installation errors.

If the XCode download from the RStudio install in step 2 fails, install the command line tools manually. First, download XCode. Click “GET” (if instead you see “OPEN”, then Xcode is already installed.) Open the Terminal app in the Applications folder, enter

xcode-select --install

Click “yes” to proceed with installing the command-line tools. The message “xcode-select: error: command line tools are already installed” means that you can proceed.

If you encounter difficulties, email help@rave.wiki.

To install R, please go to https://cran.r-project.org/ and read installation guide for Linux system. The following guide is for Ubuntu 20.x (x86_64) system. Please do ALWAYS read R’s official installation guide.

1. Add R-Cran repository to your app list:

Open terminal (if you don’t know how, look at your sidebar in Ubuntu, search your computer enter terminal, and open it), type the following code:

# update indices
sudo apt update -qq
# install two helper packages we need
sudo apt install --no-install-recommends software-properties-common dirmngr
# add the signing key (by Michael Rutter) for these repos
# To verify key, run gpg --show-keys /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc 
# Fingerprint: E298A3A825C0D65DFD57CBB651716619E084DAB9
wget -qO- https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc | sudo tee -a /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc
# add the R 4.0 repo from CRAN -- adjust 'focal' to 'groovy' or 'bionic' as needed
sudo add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu $(lsb_release -cs)-cran40/"

2. Install R

Copy the following command line by line into your terminal and run

sudo apt-get install r-base r-base-dev

3. Type and enter “R” your terminal. This launches R from your terminal.

Copy the following command line by line into your terminal and run

install.packages('ravemanager', repos = 'https://rave-ieeg.r-universe.dev')
ravemanager::system_requirements(sudo = TRUE)

If your operating system is supported, it will print out all the system libraries needed.

4. Install compiling tools and system dependencies

Open a new terminal window, copy the installation script generated from the last step into this new window. For example, on Ubuntu 20.x,

sudo apt-get install -y build-essential file git psmisc procps sudo wget make cmake \
 libsodium-dev libffi-dev libbz2-dev libpcre2-dev libcairo2-dev libssh2-1-dev libtiff5-dev libv8-dev \
 libicu-dev zlib1g-dev libcurl4-openssl-dev libssl-dev libfontconfig1-dev libfreetype6-dev \
 libfribidi-dev libharfbuzz-dev libjpeg-dev libpng-dev libtiff-dev pandoc libxml2-dev git libgit2-dev \
 libfftw3-dev libhdf5-dev libglpk-dev libgmp3-dev libzmq3-dev python3

The packages libv8-dev is for V8 package to enable JavaScript. libxml2-dev is for xml2. libfftw3-dev libtiff5-dev are necessary for fast-fourier transformations and libhdf5-dev is for reading and writing data in open data format HDF5. All the other packages are necessary for devtools (compilers)

5. Install the free version of RStudio Desktop here:

Go to https://posit.co/download/rstudio-desktop/ and download one with keywords “Ubuntu xxx/Debian xxx” (depending on your system version), move the downloaded file to your desktop, rename it “rstudio.deb”.

Open terminal, type the following command in your terminal

cd ~/Desktop
sudo dpkg -i ./rstudio.deb

and RStudio should be in your application list. If not, look at your sidebar in Ubuntu, click search your computer and enter “RStudio”.

Step 2: Install RAVE for the First Time

If you have installed RAVE before, please check How to update RAVE.

Open the R application if it is not already open (RStudio may also be used). Copy and paste the following command into the R (or RStudio) console:

install.packages('ravemanager', repos = 'https://rave-ieeg.r-universe.dev')

Copy and paste the following command into the R console:

ravemanager::install()

Wait until you see the “Done finalizing installations!” message and the R Console command prompt reappears. This may take a few minutes depending on the speed of your internet connection. After installation, it is recommended to close all instances of R and restart R.

Step 3: Launch RAVE

Copy and paste the following command into the R console:

rave::start_rave2()

In a few seconds a web browser window showing RAVE should appear. Success! Explore RAVE by clicking on one of the module names on the left-hand side such as “Subject 3D Viewer” to view a brain or “Power Explorer” to view sample iEEG data.

Step 4: Analyze your data with RAVE

The RAVE team is happy to help users get up and running with their own data. Email help@rave.wiki to schedule a Zoom session to get help analyzing your own data.

(optional but recommended): Install Isolated Python Environment

Copy and paste the following command into the “R” console:

ravemanager::configure_python()

Some advanced RAVE features (such as CT to MRI alignment via ANTs) call Python libraries. To prevent conflicts with existing Python installations and ensure stability and reliability, this step uses Miniconda to install an isolated Python environment and useful Python packages (numpy, scipy, jupyterlab, mne, pynwb, antspyx).

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