Install Spectre from Github
Installing new, or updating?
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 f you wish, you can check the Spectre Home Page for the latest version.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. I
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.
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.
If you are updating Spectre (rather than installing for the first time), we recommend re-starting RStudio at this point.
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.
Occasionally during installation, you may run into errors, such as the one below relating to 'flowCore'. Check out our installation troubleshooting page for help.
Load libraries (to check installation).
Once the packages have been installed, you can load the libraries by running the following. Please ensure that each library successfully loads. If any do not load, or are listed as unavailable, please see the troubleshooting section below.
The Spectre package is designed to helps various computational tools work nicely with each other, in a single environment, design for high-dimensional cytometry/single-cell analysis. To do this, many of Spectre's functions are 'wrappers' for other packages (e.g. Spectre has functions to run FlowSOM and UMAP, but these functions use the code from the FlowSOM and UMAP R packages respectively) – ensuring the input and output parameters work in a consistent fashion, and adding modifications to tailor these packages to cytometry analysis. Because of this, Spectre requires the installation of a number of other packages. By default, many of these will be installed automatically when you install Spectre. However, this can sometimes be a problem if a necessary package attempts to be installed, but for some reason it can't be. In these cases, the error messages informing you that the package was not installed are easily missed.
If installation of each package was successful, then you can proceed to load the other key packages.
Output: if installation was successful
Nothing will be returned in R, or message relating to the loading of these packages will be returned.
If installation of any specific package was not successful, you will see something like the following. If this occurs, you will need to attempt to install the packages directly. If you need help, please feel free to submit an issue on the Spectre Github repository.
Output: if installation was unsuccessful
Error in library('plyr') : there is no package called ‘plyr’
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 submit an issue on the Spectre Github repository. Alternatively, you can install Spectre using one of our self-contained docker images.