The duflor.gui
-package contains a shiny-application built for the use
of the duflor
-package.
This package requires the installation of the duflor
-package, which
implements most of the back-end code for the analysis-pipelines in this
application.
As this application is quite complex, it relies on a certain number of
packages to work. The package renv
can help with managing a
reproducible package environment for a project. As an additional
advantage, this also prevents packages in your system-library from being
updated when installing this package.
For a proper documentation and information on its use-cases, refer to “https://rstudio.github.io/renv/index.html”.
To set up a stand-alone R-project with renv
, the easiest way is
through R-Studio:
- Go to
File
>New Project
. - Select
New Directory
. - Select
New Project
as project-type1. - Give a distinct name to the project,
e.g.
duflor.gui_installed
2. - Choose a location for the R-project.
- Make sure that the check-box
Use renv with this project
is checked.3 - Make sure the check-box
Open in new session
is checked. - Create the project.
From now on, this project can be opened from within R-Studio via the project-selection drop-down-menu in the top-right corner of the RStudio-application.
Before continuing, open this project if you did not do so.
First of all, make sure to have followed the steps outlined in “[Setup r-project with renv]”, and that RStudio is currently in your created project.
Installing this package from GitHub requires the installation of the
R-package devtools
. devtools
can be used to compile source-packages
to installed binaries.
install.packages("devtools")
When being asked to proceed, make sure that the installation-path is in the R-project you created:
If you created your R-project with renv
at
C:/Users/User_Main/Desktop/TempTemporal/test_duflorgui_install
, the path would look something like
C:/Users/User_Main/Desktop/TempTemporal/test_duflorgui_install/renv/library/R-X.Y/....
If this is correct, you can go ahead and answer the prompt with Y
. If
this is not the case, install devtools via the RStudio-GUI:
- Open the
packages
-panel. - Search for and select
devtools
. - Under “Install to library”, make sure the path selected is similar
to the example outlined above. In other words, make sure you do
not install to the library containing the string
R/cache/R/renv/sandbox
.
Once you have installed devtools
, go on to the next step.
The underlying package duflor
contains C++ code. As it is distributed
as source-code, users will require the appropriate R-build-toolchain for
their respective operating system. For further information and
setup-instructions, refer to
“https://r-pkgs.org/setup.html#setup-tools”.
For windows, the R-package installr
may be used to check if Rtools is
already installed, and whether or not it has been found by R.
Additionally, it will notify the user if a new R-update is available
(major and minor versions only, ignores patch versions):
install.packages("installr")
# once pkgbuild is installed, run:
installr::install.Rtools(check = T,check_r_update = T,GUI = T)
Both the duflor
- and duflor.gui
-packages must be installed from
their respective GitHub-repositories.
You can install the development and release versions of duflor.gui
like so:
# release:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@master")
# development version:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@dev")
As with installing devtools
, make sure the renv
-library is selected
when installing the package.
The application is documented in detail via pkgdown, and its site can be reached from the github-repository.
Most of the articles outlined on the site may also be viewed as vignettes from within RStudio. To do so, you must explicitly declare vignettes to be installed:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@master"
,build_vignettes = T)
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@dev"
,build_vignettes = T)
Vignettes are rendered documents discussing specific topics within a package. Installing them is recommended, but not required for utilizing the package itself.
- R>=4.3.3 is installed on the system, and can be launched from the
command-line
- You can try executing
where R
orwhich R
to see if R this prerequisite is met. Each command will print the path to the R-installation which is used from the command-line. If no path is found, R is not accessible from the command-line.- In this case, check how to make it accessible from the command-line for your respective system
- You can try executing
- The underlying package
duflor
contains C++ code. As it is distributed as source-code, users will require the appropriate R-build-toolchain for their respective operating system. For further information and setup-instructions, refer to “https://r-pkgs.org/setup.html#setup-tools”.
To install the application, follow the steps below:
- open the terminal, and move to the location where you want to install the program
- create a folder to place the application in, e.g.
mkdir duflor_app
- move into the folder via
cd duflor_app
- launch R by executing
R
- executing
1+1
should now successfully return[1] 2
- check if the package
renv
is installed by executingsystem.file(package='renv')
- if it is not, install it by executing
install.packages("renv")
, then follow instructions for installing it/potential dependencies
- if it is not, install it by executing
- execute
renv::init()
- repeat step 6) for the package
devtools
- install
duflor.gui
by executing either:- release-version:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@master")
- development-version:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@dev")
- follow instructions for installing it/potential dependencies
- release-version:
- once it is installed, try executing
duflor.gui::duflor_gui()
to see if the package was installed successfully- If it was, the GUI should open in the default-browser, and the application can be used from now on
The application is documented in detail via pkgdown, and its site can be reached from the github-repository.
Most of the articles outlined on the site may also be viewed as vignettes from within RStudio. To do so, you must explicitly declare vignettes to be installed when performing step 9 in “CLI-Installation-steps”:
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@master",build_vignettes = T)
devtools::install_github("https://github.com/Claudius-Appel/duflor.gui@dev",build_vignettes = T)
Vignettes are rendered documents discussing specific topics within a package. Installing them is recommended, but not required for utilizing the package itself.
After installation, the application can be launched as described below:
cd
into the folder in which you have installed the application in, e.g.cd duflor_app
- launch R via
R
- launch the app via
duflor.gui::duflor_gui()
- Follow the installation-steps outlined in “Installation - from within RStudio”
- Open the project via the drop-down-menu in the top-right corner of the RStudio-application.
- Launch the app by executing
duflor.gui::duflor_gui()
in the console.
In order for the shiny application to be able to run the analysis in
parallel, the packages duflor
and duflor.gui
must be installed.
If this package is developed locally, executing devtools::load_all()
will not be sufficient. To counteract this, make sure that both packages
are actually installed as such, and show up in the listed packages.
Footnotes
-
This might sound confusing, as this is a R-package wrapping a shiny-application. However, those two options are for developing either of those, not for installing them. ↩
-
The name is not really important, but it should be distinct and indicate that this is the installed application ↩
-
If
renv
is not installed/must be updated, you should be prompted to install it here. ↩