Last Updated: 04/12/19

This is the online version of iNZight (http://lite.docker.stat.auckland.ac.nz)

iNZight Lite is a shiny app, so you can run it locally if you have R installed. If you use RStudio, see instructions further down.

1. Download and unzip or clone this repository

   Note: if you use Git to clone the repository, you can easily keep Lite updated via git pull

2. Open R and set the working directory to the Lite folder

setwd("/path/to/Lite")

3. Install the devtools R package (if you don't already have it):

install.packages("devtools")

4. Install package dependencies (NOTE: we host iNZight packages on our own server, see below)

devtools::install_deps(repos = c("http://r.docker.stat.auckland.ac.nz/R", 
                                 "https://cloud.r-project.org/"))

5. Run the iNZight Lite app!

shiny::runApp()

1. If you have git installed: in RStudio > File > New Project > Version Control > Git

   • For the URL, enter: https://github.com/iNZightVIT/Lite.git
   • And choose a location to save the app
   • Then Create Project

   If you don't have git:

   • Download and unzip the app
   • In the folder, double click Lite.rproj to open the project in RStudio

2. To install the dependencies, enter the following into the Console:

install.packages("devtools")  ## skip if you know you already have devtools
devtools::install_deps(repos = c("http://r.docker.stat.auckland.ac.nz/R", 
                                 "https://cloud.r-project.org/"))

3. To run iNZight Lite, open the ui.R file and click the Run App button at the top.

Send bug reports/errors to [email protected].

• [visualize] Add various new plot types
• [R code history] now, we have code history for ggplot, Import dataset, Example dataset, and all the panels under manipulate variables

This are all the packages which are loaded by iNZight lite. Please install all dependencies.

• iNZightPlots
• iNZightTS
• iNZightMR
• markdown
• GGally
• gpairs
• iNZightRegression
• RJSONIO
• survey
• shinyWidgets
• iNZightTools
• shinycssloaders

• data: This directory holds all the data. The data must be placed in sub-directories, which will come up as data categories within iNZight-Lite.

• gui-elements: (removed) This directory contains the gui functions for all the old modules (from iNZight revamp).

• www: This directory is used for graphics and/or web-related files such as .css and .gif/.jpeg/.png javascript files. Images are stored in a sub-directory called "images". Javascript code is stored in a subdirectory "js".

• panels: This directory contains the gui, server, help, and other functions for each module.

• README: Documentation for iNZight Lite. Update as required.

• global.R: Defines functions and variables that are used globally. For now, all non-GUI functions are stored here.

• server.R: Script for shiny server.

• ui.R: Defines the main GUI.

• functions.R Defines al functions used in iNZight-lite, some of them are also in iNZightTools.

• data: This directory holds all the data. The data must be placed in sub-directories, which will come up as data categories within iNZight Lite.

• www: This directory is used for graphics and/or web-related files such as .css and .gif/.jpeg/.png. Images are stored in a sub-directory called "images".

• panels: This directory contains the gui, server, help, and other functions for each module. The directory/file names will be of the form:

  • [Directory] N_(sub-)panel-name
  • [File] 1_panelname-panel-gui.R
  • [File] 2_panelname-panel-server.R
  • [File] 3_panelname-panel-help.R
  • [File] 4_panelname-panel-null.R
  • [File] 5_panelname-panel-other.R

Some GET parameters can be added to the URL to access iNZight-lite. In the moment the following are implemented.

• url: An URL to a dataset sitting somewhere in the internet.
• example: A name of an data set inside the data folder.
• land: The place where iNZight-lite starts. If not specified it is "About". Three possibilities (visualize, timeSeries, regression).
• x: The x variable in the visualize module
• y: The y variable in the visualize module
• time: The variable in time series where the dates are stored. -seriesVars A comma seperated list of column names. This names are set in time series to be plotted
• Y: The dependend variable in regression.
• predict: Comma seperated list with predictor variables.
• confound: Comma seperated list for confounding variables.