'RStudio' Addin for Editing a 'data.frame'.
editData
The 'editData' is an RStudio addin for editing a 'data.frame' or a 'tibble'. Many RStudio users want to edit a data.frame. With this 'editData' package, you can delete, add or update a 'data.frame' without coding. You don't have to use Microsoft excel or a csv editor any more to edit data. You can get resultant data as a 'tibble' or as a 'data.frame'. You can read a csv file in the disk and save it as a csv format.
Install package
You can install editData
package from CRAN.
install.packages("editData")
You can install the developmental version of editData
package from github.
#install.packages("devtools")
devtools::install_github("cardiomoon/editData")
After install this editData
package you can see the editData
addin in RStudio's addins. (See the second plot).
Usage: As an RStudio Add-in
This addin can be used to interactively manipulate a data.frame
or a tibble
. The intended way to use this is as follows:
- Highlight a symbol naming a
data.frame
or atibble
in your R session, e.g.mtcars
(1).
- Execute this addin(arrow), to interactively manipulate it.
- You can select and unselect a row by clicking a row in dataTable. You can delete the selected row(1), add a new row(2) or edit a row(3).
You can enter data name(4) to edit, upload a CSV or excel or RDS file(5) and download the edited data as a csv(6) or xlsx(7) or RDS (8)file.
- If you press the edit button you can see this window. You can edit individual cell. You can delete the row or update the data. Or you can edit cell by double-click.
- Alternatively, you can edit a cell by double-click.
- By default, the
sampleData
included in theeditData
package is selected. Thesex
andbloodType
column arefactor
variables. AselectInput
is assigned for a column of class factor.
- A
dateInput
is assigned for a column of classdate
.
Usage: As a regular function
You can use the editData()
function as a regular function, e.g. in a command line.
require(editData)
result <- editData(mtcars)
The resultant 'tibble' or 'data.frame' is assigned to the object result
.
Usage: As a shiny module
The editData
package is made of modularized shiny functions. You can use the modularized editableDTUI()
and editableDT()
functions in your shiny app. In this package, I have included three examples in the inst
folder. You can run these examples with one of the following codes.
shiny::runApp(system.file('example',package='editData'))
shiny::runApp(system.file('multipleData',package='editData'))
shiny::runApp(system.file('multipleFiles',package='editData'))