https://github.com/jbryer/DTedit

Editable DataTables for shiny apps
https://github.com/jbryer/DTedit

Last synced: 3 months ago
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Editable DataTables for shiny apps

• Host: GitHub
• URL: https://github.com/jbryer/DTedit
• Owner: jbryer
• License: other
• Created: 2017-01-14T15:48:48.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T19:28:45.000Z (almost 2 years ago)
• Last Synced: 2024-05-14T08:32:44.999Z (6 months ago)
• Language: R
• Homepage:
• Size: 4.97 MB
• Stars: 124
• Watchers: 6
• Forks: 63
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-shiny-extensions - DTedit - Editable DataTables for Shiny apps. (UI Components / Table)
• jimsghstars - jbryer/DTedit - Editable DataTables for shiny apps (R)

README

        
## Editable DataTables for shiny apps.

**Author:** Jason Bryer, Ph.D.

**Email:** [email protected]

Use the `devtools` package to install the development version of `DTedit`:

```r

devtools::install_github('jbryer/DTedit')

```

The `dtedit_demo` will run a sample `shiny` app with to editable data tables.

```r

DTedit::dtedit_demo()

```

![DTedit Screen Shot](inst/screens/dtedit_books_edit.png)

#### Getting Started with `DTedit`

You can download a simple shiny app using `DTedit` here: [inst/template/app.R](inst/template/app.R)

There are three steps to using `DTedit` in your shiny application.

1. Define callback function for inserting, updating, and deleting data.

```r

my.insert.callback <- function(data, row) {

	mydata <- rbind(data, mydata)

	return(mydata)

}

my.update.callback <- function(data, olddata, row) {

	mydata[row,] <- data[1,]

	return(mydata)

}

my.delete.callback <- function(data, row) {

	mydata[row,] <- NULL

	return(mydata)

}

```

Typically these functions would interact with a database. As written here, the data would be lost between shiny sessions.

2. Create the `dtedit_server` object within your `server` function. 

```r

DTedit::dtedit_server(

	   id = 'mycontacts',

	   thedata = mydata,

	   edit.cols = c('name', 'email', 'useR', 'notes'),

	   edit.label.cols = c('Name', 'Email Address', 'Are they an R user?', 'Additional notes'),

	   input.types = c(notes='textAreaInput'),

	   view.cols = c('name', 'email', 'useR'),

	   callback.update = my.update.callback,

	   callback.insert = my.insert.callback,

	   callback.delete = my.delete.callback)

```

The `id` parameter defines the name of the object available to the `uiOutput`. The `thedata` is a `data.frame` for the initial view of the data table. This can be an empty (i.e. no rows) `data.frame`. The structure of the `data.frame` will define the inputs (e.g. `factor`s will be drop down, `Date` will use `dateInput`, `numeric`s will use `numericInput`, etc.). There are many other parameters to custom the behavior of `dtedit`, see `?dtedit` for the full list.

3. Use `dtedit_ui` in your UI to display the editable data table.

The `id` you will pass to `dteditui` is the name you passed to the `dtedit_server` created on the server side.

```r

dtedit_ui('mycontacts')

```