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README

DataEditR

Manual data entry and editing in R can be tedious, especially if you have limited coding experience and are accustomed to using software with a Graphical User Interface (GUI). DataEditR is an R package that makes it easy to view, enter and edit data within R, due to its convenient interactive GUI that supports many of the data manipulation operations supported by other commonly used GUI-oriented software. If you are new to DataEditR visit https://dillonhammill.github.io/DataEditR/ to get started.

Installation

DataEditR can be installed directly from GitHub:

library(devtools)
install_github("DillonHammill/DataEditR")

Usage

DataEditR ships with a single function called data_edit() that allows you to interactively view, enter or edit data in R. The key features of the data editor are summarised below and will be explored in detail in the package vignette:

a quick way to view your data
create data.frames from scratch
load tabular data saved to file using any reading function (e.g. read.csv())
row indices are always included even if row names have been specified
addition/removal of rows or columns
editing of either row or column names
manual column resizing
drag a cell to fill others
paste data from other software directly into the editor
programmatically add columns/rows prior to loading the data editor
copy and paste edited data into other software
edited data can be optionally saved to file using any writing function (e.g. write.csv())
edited data is exported as a matrix or data.frame for use within R
data editor is opened in the RStudio Viewer pane by default but can be changed to open in a pop-up window or web browser
customize appearance using a shinythemes theme
developers can add checkbox or dropdown columns for user input
developers can customize the data editor with their own package logo and title

A quick demonstration of some of these features can be seen below, where we use data_edit() to make changes to the mtcars dataset and save the result to a new csv file:

# Load required packages
library(DataEditR)

# Save output to R object & csv file
mtcars_new <- data_edit(mtcars,
                        save_as = "mtcars_new.csv")

Credits

DataEditR is built using the fantastic rhandsontable package. DataEditR makes use of many features for entering and editing data, but rhandsontable has support for much more sophisticated interactive representations of data should you need them.

Code of Conduct

Please note that the DataEditR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Citation

If you use DataEditR in your work, please cite the package as follows:

citation("DataEditR")
#> 
#> To cite package 'DataEditR' in publications use:
#> 
#>   Dillon Hammill (2020). DataEditR: An Interactive Editor for Viewing,
#>   Entering & Editing Data. R package version 0.0.5.
#>   https://github.com/DillonHammill/DataEditR
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {DataEditR: An Interactive Editor for Viewing, Entering & Editing Data},
#>     author = {Dillon Hammill},
#>     year = {2020},
#>     note = {R package version 0.0.5},
#>     url = {https://github.com/DillonHammill/DataEditR},
#>   }