STUDY-PACKAGE-SETUP.md

In mi-erasmusmc/CovCoagEmaPrediction: Coagulopathy prediction in SARS-Cov-2

Installing the study package using renv

The following steps will detail how to set up the package using renv.

Package Installation

This section will detail the process for installing the package along with all of the R package dependencies using renv. In short, we are using renv to encapsulate the R dependencies for this project in a way that will not disturb your other R depdencies.

The script below is an example to use for setting up your environment. There are some items to consider before moving ahead with the installation.

Package setup considerations

• We will use renv to install the R package dependencies. You should refer to the renv cache section to review how these files are stored for your operating system. If you need/want to change the default storage for your R packages, you will need to set the R RENV_PATHS_ROOT environment variable to different path.
• If you plan to run this package in an environment without Internet access, you should set the RENV_PATHS_CACHE to the projectRootFolder so that you can copy the contents of the projectRootFolder to the machine with access to your CDM to run the study. Additionally, you will want to make sure you download the renv.lock file from the computer with Internet access.

Package setup steps

The setup script below is used to install the CovCoagEmaPrediction package. You will need to modify this setup script as follows:

• Set the projectRootFolder variable to the directory specific to your environment. In this example we are using C:/CovCoagEmaPrediction. This root folder will serve a few purposes:
• It will hold the R depdencies in subfolders in this directory.
• It should be used to hold the output of running the study package.
• If you need to change the default location where renv will install the R package dependencies, uncomment out the line: Sys.setenv("RENV_PATHS_ROOT"="C:\renv") and replace "C:\renv" with your directory of choice.
• If you plan to run the package in an environment where there is no Internet access, uncomment out the line: Sys.setenv("RENV_PATHS_CACHE"=projectFolder). This will ensure that all of the R package dependencies are copied to the projectRootFolder.

Then execute the script as shown below:

# If you don't have renv as an R library you need to install it:
install.packages("renv")

# renv will create an environemnt with all the R libraries and versions that
# were used by the original study developer (this is handy if the study needs to be run 
# in the future when new versions are available and may have different code that 
# causes a study to break)

# You need to specify a project folder for the renv (the study specific environment will be 
# save here) and you need to set you R working direcory to this location before running renv
projectFolder <- "C:/CovCoagEmaPrediction"
if(!dir.exists(projectFolder)){
dir.create(projectFolder,   recursive = T)
}
setwd(projectFolder)

# Download the lock file:
download.file("https://raw.githubusercontent.com/ohdsi-studies/CovCoagEmaPrediction/master/renv.lock", "renv.lock")

# Build the local library into projectFolder (takes a while):
renv::init()

# (When not in RStudio, you'll need to restart R now)

# finally install the CovCoagEmaPrediction package
install.packages('devtools')
devtools::install_github('ohdsi-studies/CovCoagEmaPrediction')

library(CovCoagEmaPrediction)

-------------------------------------------------------------

What to expect

-------------------------------------------------------------

You will see the following message the first time you run renv::init():

````

renv::init()

Welcome to renv!

It looks like this is your first time using renv. This is a one-time message, briefly describing some of renv's functionality.

renv maintains a local cache of data on the filesystem, located at:

• "E:/renv"

This path can be customized: please see the documentation in ?renv::paths.

renv will also write to files within the active project folder, including:

• A folder 'renv' in the project directory, and
• A lockfile called 'renv.lock' in the project directory.

In particular, projects using renv will normally use a private, per-project R library, in which new packages will be installed. This project library is isolated from other R libraries on your system.

In addition, renv will update files within your project directory, including:

• .gitignore
• .Rbuildignore
• .Rprofile

Please read the introduction vignette with vignette("renv") for more information. You can also browse the package documentation online at https://rstudio.github.io/renv.

You can safely continue by pressing 'y' after this prompt since the renv.lock file is downloaded from the **CovCoagEmaPrediction** GitHub code repository. Once the installation is complete, you may need to restart R (if you are working outside of RStudio) and you should see this message:

Project 'C:/CovCoagEmaPrediction' loaded. [renv 0.x.y] ````

Now the study package is installed and ready to execute!

mi-erasmusmc/CovCoagEmaPrediction documentation built on Dec. 21, 2021, 5:54 p.m.