README.md

GWSDAT

This is the R Shiny application of the GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) for the analysis of groundwater monitoring data.

This app can be deployed on a Shiny Server supporting multiple data sets and users, and a stand-alone mode (Excel Mode), which is limited to a single data set.

Install and Run

For latest development version, install from github using the devtools R package:

devtools::install_github("WayneGitShell/GWSDAT")
GWSDAT::launchApp()

Or install from CRAN:

install.packages("GWSDAT")
GWSDAT::launchApp()

Deploy on Shiny Server

On the server, install the package as shown above and create a directory GWSDAT inside the Shiny app folder defined in /etc/shiny-server/shiny-server.conf. Create the file GWSDAT/app.R with the following content:

library("GWSDAT")
launchApp()

Run in Stand-Alone Mode (ExcelMode)

The Stand-Alone Mode provides a slim version of the UI for exploring a single data set. Install the package as above and pass a GWSDAT_Options list to launchApp().

library("GWSDAT")
# Define GWSDAT_Options
# ..
launchApp(GWSDAT_Options)

The GWSDAT_Options list must define the elements WellDataFilename and WellCoordsFilename. The method GWSDAT::createOptions() creates this GWSDAT_Options list.

library(GWSDAT)
opt <- createOptions("Site Name")
opt$WellDataFilename <- 'path_to_concentration_file'
opt$WellCoordsFilename <- 'path_to_well_coordinate_file'
launchApp(opt)

Save & Load Session File

Inside the Shiny app, a data analysis session can be saved inside the Analysis panel, in the top navigation bar under More -> Save Session. This creates a .rds file that can be loaded with the launchApp() method:

GWSDAT::launchApp(session_file = "path_to_file.rds")


andrejadd/GWSDAT documentation built on Jan. 23, 2021, 2:36 p.m.