It is necessary to have the R 4.0.0 version (or higher) installed in order to be able to run this code. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R., please choose your preferred CRAN mirror. Please make sure you have restarted your R session once you have installed the latest R version.
Optional (and recommended): after you've installed R, you may install RStudio IDE for a better and smoother experience. RStudio IDE is a set of integrated tools designed to help you be more productive with R and Python. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace.
To install or update Robyn to the latest stable version of the package, run:
NOTE: If you're interested in installing the latest or a specific dev version instead, run
remotes::install_github("facebookexperimental/Robyn/R"). If you haven't installed the
remotes package previously, run
- First step is to install the reticulate package (if you haven't before) and load it:
nevergradPython library. You have 2 options:
- Option 1: using PIP
virtualenv_create("r-reticulate")py_install("nevergrad", pip = TRUE)use_virtualenv("r-reticulate", required = TRUE)
- Option 2: using conda
conda_create("r-reticulate")conda_install("r-reticulate", "nevergrad", pip = TRUE)use_condaenv("r-reticulate")
In case nevergrad still cannot be imported after installation, please locate your python file and run this line using your path:
Open the demo.R script in the
Robyn/demo/ folder as a quick start guide that aims to cover most common use-cases.
The demo will allow you to test the package using a simulated dataset.