A Singularity image is an essential part of creating a reproducible container and, eventually, reproducible research. This section explains the steps to create a singularity definition file, build an image, and run a container. The two primary sources for further discussion and details include:
In order to build a singularity image, you need to have singularity installed on your system, and you need to have a root privilege to build an image. There are sufficient instructions to do that (for example, here). You can also use Sylab Remote Builder services.
The Definition File (CausalGPS_rstudio.def) is the recipe for building the image. Please note that we build it upon [rocker/rstudio:4.0.4] image. For more details about generating a Definition File, please refer to Singularity User Guide.
To build the image, download the Definition File (CausalGPS_rstudio.def) and run the following:
Running the command will generate a Singularity image (CausalGPS_rstudio.sif). You can double-check the CausalGPS package version by running the image using the following command:
This will result in the following format:
If you want to use R in a console, you can follow these steps:
and then run R.
This will provide the following results and will activate R.
R version 4.0.4 (2021-02-15) -- "Lost Library Book" Copyright (C) 2021 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. >
Now, you can run an R command. For example:
You can also open an RStudio session in your browser by following these steps mentioned in Rocker Project (Singularity).
Open your browser and enter this URL: