Install Spectre from Github
Check Spectre version
To see if you have Spectre installed, you can open RStudio and look under the 'packages' tab. The version will be listed in the right hand column. Hit the button to refresh the package list if you need. If you have the latest version installed, R won't install it again. If you have an older version, the R will install the latest version. If you wish, you can check the Spectre Home Page for the latest version.
If you are updating Spectre, we advise deleting the previous installation to ensure a clean update.
In R, install and load the 'devtools' package. The devtools package has a number of dependencies (packages that it needs to use) that it will automatically install when you install 'devtools' – this might take some time.
After installing devtools, we recommend restarting RStudio.
Subsequently, use the 'install_github' function to install and load the Spectre package. By default this will load the 'master' branch, which is the same as the latest stable release version (listed at https://immunedynamics.github.io/spectre). To install a specific release version, see https://cran.r-project.org/web/packages/githubinstall/vignettes/githubinstall.html.
Confirm or decline updates
During installation, you may see a message like the following. You can update all the packages if you wish, but if you are unsure, or using multiple packages in other contexts, it might be wise to wait until you have time to update everything and test your scripts afterwards.
Possible queries during installation
Occasionally during installation, you may run into errors, such as the one below relating to 'flowCore'. Check out our installation troubleshooting page for help.
Check libraries (packages)
Once the packages have been installed, you can check the libraries (packages) by running the 'package.check()' function. If installation of any specific package was not successful, see our installation troubleshooting page for help.
If all packages were successfully installed:
'All packages successfully installed'
For any packages NOT successfully installed:
'dplyr is required but not installed'
Load libraries (packages)
You can then load the required packages using the 'package.load()' function.
Package installations can fail due to a number of reasons, including R version incompatibilities (for example, Spectre v0.1 will not work in R v3.3.0), or package incompatibilities. If you are having problems installing Spectre, please see our installation troubleshooting page or submit an issue on the Spectre Github repository. Alternatively, you can install Spectre using one of our self-contained docker images.