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*.Rfiles 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*.Rfiles.
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.Rand 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
shinyTreepackage I load it inserver.Randui.Ras, it is my understanding that this flows from examples. Modules and functions usedplyr/tidyrcombination, 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?