The following steps will detail how to set up the package using renv.
See instructions here for R and Java installation
The OHDSI tools require the use of Java to connect to the OMOP CDM database. Therefore you need to ensure you have JAVA set up and configured. On a 64-bit machine it is better to install the JDK rather than the JRE, since the JRE only seems to include the 32-bit version. If you have further trouble, be sure on Windows that your Path variable includes the path to jvm.dll (Windows Button –> type “path” –> Edit Environmental Variables –> Edit PATH variable, add to end ;C:/Program Files/Java/jre/bin/server) or wherever it is on your system.
You also need to have R installed. Download R for Windows or Mac.
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.
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.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.The setup script below is used to install the dGEMcovid package. You will need to modify this setup script as follows:
projectRootFolder variable to the directory specific to your environment. In this example we are using C:/dGEMcovid. This root folder will serve a few purposes: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.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:/dGEMcovid"
if(!dir.exists(projectFolder)){
dir.create(projectFolder, recursive = T)
}
setwd(projectFolder)
# Download the lock file:
download.file("https://raw.githubusercontent.com/ohdsi-studies/dGEMcovid/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 latest pda and install dGEMcovid package
install.packages('remotes')
remotes::install_github('Penncil/pda')
remotes::install_github('ohdsi-studies/dGEMcovid')
library(dGEMcovid)
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:
This path can be customized: please see the documentation in ?renv::paths.
renv will also write to files within the active project folder, including:
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:
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 **dGEMcovid** 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:/dGEMcovid' loaded. [renv 0.x.y] ````
Now the study package is installed and ready to execute!
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