The goal of the Calibration Training App is to help the University of Bonn administer calibration assessments …
Clone this repository to your local machine
Open the calibration_app.Rproj file from the directory on your
local machine where you cloned this repository. This should install
the {renv} package if you do not already have it installed, but if
you don’t see that happen in the console, run
install.packages("renv")
.
Run renv::restore()
to install the package dependencies needed to
run this app successfully
Open the app.R file and execute the code in that script to launch the app
Before a calibration workshop, the global.R script should be edited to define the following parameters for the workshop:
The language that questions should be shown in (current options include English, German, and Vietnamese)
Google authentication credentials; such credentials are not
necessary if the Google Sheet containing the questions is public,
and require a simple call to googlesheets4::gs4_deauth()
The URL of the Google Sheet’s shareable link
The specific questions to be used for each group & question type
The {pins} board on RStudio Connect that has been dedicated for this workshop
See below for session info for full reproducibility:
sessionInfo()
#> R version 4.1.3 (2022-03-10)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur/Monterey 10.16
#>
#> Matrix products: default
#> BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
#>
#> locale:
#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#>
#> attached base packages:
#> [1] stats graphics grDevices datasets utils methods base
#>
#> loaded via a namespace (and not attached):
#> [1] compiler_4.1.3 magrittr_2.0.1 fastmap_1.1.0 htmltools_0.5.2
#> [5] tools_4.1.3 yaml_2.2.1 stringi_1.7.5 rmarkdown_2.11
#> [9] knitr_1.36 stringr_1.4.0 xfun_0.27 digest_0.6.28
#> [13] rlang_0.4.12 renv_0.14.0 evaluate_0.14