I use the exact code from here to run the shinydashboardPlus. But when I try to run the app I get: could not find function "dashboardPagePlus". I tried the CRAN and the github version with
# for the CRAN version
install.packages("shinydashboardPlus")
# for the latest version
devtools::install_github("RinteRface/shinydashboardPlus")
and my sessionInfo is:
R version 4.0.4 (2021-02-15)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19041)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] shinydashboardPlus_2.0.0 shinydashboard_0.7.1 shiny_1.6.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 withr_2.3.0 packrat_0.5.0 digest_0.6.26 later_1.1.0.1 mime_0.9
[7] R6_2.4.1 lifecycle_0.2.0 xtable_1.8-4 magrittr_2.0.1 rlang_0.4.9 promises_1.1.1
[13] ellipsis_0.3.1 tools_4.0.4 httpuv_1.5.4 fastmap_1.0.1 compiler_4.0.4 htmltools_0.5.1
but it does not work. I tried to run in rstudio cloud and it works but there is used the shinydashboardPlus_0.7.5 version. How can I find and install it?
The shinydashboardPlus version you are using locally (both from CRAN and Github) is version 2.0.0 (as stated in your SessionInfo) and the function dashboardPagePlus is no longer in this new version (it was in earlier versions e.g. 0.7.5, hence why the example runs on this version on the cloud which has not been updated).
So the example you refer to is now outdated as it uses old functions that now do not feature in 2.0.0 (I will open an issue on Github as I would also like a new reproducible example!).
There has been a major re-write of the package - see https://rinterface.github.io/shinydashboardPlus/articles/shinydashboardPlus.html and https://rinterface.github.io/shinydashboardPlus/news/index.html for more details.
You can download and browse old package versions from their Github repo but I would not advise doing so as you will run into backward compatibility issues.