With this question I'm only interested in obtaining some clarity on a best approach to using packages while working with a Shiny app. Despite the fact that, contrary to good practice on asking R-related questions, the question does not contain code or reproducible example, I hope that it touches on practical and relevant matters.
Problem
I'm working on a modular Shiny app that has the following structure:
server.R
- contains some key functions and first few initial graphicsui.R
- provides basic user interface frameworkdata
- folder with some data files that are not sourced dynamicallylist.csv
- sample file with data...
- other data files
functionsAndModules
- folder with*.R
files pertaining to functions and modulesfunctionCleanGeo.R
- simple function cleaning some data frames of format:cleanDataFrame <- function(data) { ... return(cleanDta) }
moduleTimeSeries.R
- module providing time series analysis doing the following things:- generating user interface
- sourcing data
- generating charts
...R
- other modules and functions saved as*.R
files.
Libraries
What I would like to know is how to approach loading packages that would be most optimal for the app structure outlined above. In particular, I would like to know:
When it's sufficient to load libraries only in
global.R
and when (if at all) it may be required to load libraries across module files and/orserver.R
/ui.r
?1.2. For example when using
shinyTree
package I load it inserver.R
andui.R
as, it is my understanding that this flows from examples. Modules and functions usedplyr
/tidyr
combination, would it be sufficient to load those packages inglobal.R
?My preferred method for loading packages looks like that:
Vectorize(require)(package = c("ggvis", "SPARQL", "jsonlite", "dplyr", "tidyr", "magrittr"), character.only = TRUE)
, will it work fine with the architecture described above?