From 8e3bdcbb9e39193fa95db4dfcebdbeeec3b9affd Mon Sep 17 00:00:00 2001 From: Simon Date: Mon, 1 Jul 2024 16:24:58 +0200 Subject: [PATCH] add Augustin's comments --- README.md | 4 +++- README.qmd | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b4d72e2..b9f79d3 100644 --- a/README.md +++ b/README.md @@ -116,7 +116,9 @@ installing it directly through [Conda-forge](https://github.com/conda-forge/miniforge?tab=readme-ov-file) using the Windows installer, which can be downloaded [here](https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe). -R can be downloaded from this +Don’t forget to check the option “Add Miniforge3 to PATH environment +variable” during the installation process. This will allow your command +prompt (cmd) to find Conda. R can be downloaded from this [link](https://cran.r-project.org/mirrors.html). I recommend using [RStudio](https://posit.co/download/rstudio-desktop/), an integrated development environment specifically designed for R. diff --git a/README.qmd b/README.qmd index 32e5da9..05adfcf 100644 --- a/README.qmd +++ b/README.qmd @@ -58,7 +58,7 @@ The current repositories of DISCOV include Python code, used to train the model ### Windows The first step is to install all the necessary software, if you haven't done so already. You will need to have R and Conda installed on your computer. -For [Conda](https://docs.conda.io/en/latest/), I recommend installing it directly through [Conda-forge](https://github.com/conda-forge/miniforge?tab=readme-ov-file) using the Windows installer, which can be downloaded [here](https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe). +For [Conda](https://docs.conda.io/en/latest/), I recommend installing it directly through [Conda-forge](https://github.com/conda-forge/miniforge?tab=readme-ov-file) using the Windows installer, which can be downloaded [here](https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe). Don't forget to check the option "Add Miniforge3 to PATH environment variable" during the installation process. This will allow your command prompt (cmd) to find Conda. R can be downloaded from this [link](https://cran.r-project.org/mirrors.html). I recommend using [RStudio](https://posit.co/download/rstudio-desktop/), an integrated development environment specifically designed for R. Alternatively to RStudio, you can use software like [VS code](https://code.visualstudio.com) which allows you to edit and run code written in both R and Python within the same working environment. Once Conda is installed, open the terminal (Press windows + R and enter "cmd" to open the terminal). Typing `where conda` should give a reply. If at this step you have an error, check your conda installation.