{"id":14068888,"url":"https://github.com/jooyoungseo/ezpickr","last_synced_at":"2025-04-15T04:31:22.968Z","repository":{"id":46901900,"uuid":"156314389","full_name":"jooyoungseo/ezpickr","owner":"jooyoungseo","description":"Choosing Any Rectangular Data File Using Interactive GUI Dialog Box, and Seamlessly Manipulating Tidy Data between an Excel Window and R 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 bookdown::github_document2:\n    html_preview: false\n---\n\n```{r setup, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# ezpickr: Convenient Package for Choosing Any Rectangular Data File Using Interactive GUI Dialog Box, and Seamlessly Manipulating Tidy Data between an Excel Window and R Session\n\n[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](http://www.gnu.org/licenses/gpl-3.0)\n[![CRAN status](https://www.r-pkg.org/badges/version/ezpickr)](https://cran.r-project.org/package=ezpickr)\n[![Total Downloads](https://cranlogs.r-pkg.org/badges/grand-total/ezpickr?color=orange)](https://cranlogs.r-pkg.org/badges/grand-total/ezpickr)\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://www.tidyverse.org/lifecycle/#stable)\n[![Travis build status](https://travis-ci.org/jooyoungseo/ezpickr.svg?branch=master)](https://travis-ci.org/jooyoungseo/ezpickr)\n[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/jooyoungseo/ezpickr?branch=master\u0026svg=true)](https://ci.appveyor.com/project/jooyoungseo/ezpickr)\n[![Codecov test coverage](https://codecov.io/gh/jooyoungseo/ezpickr/branch/master/graph/badge.svg)](https://codecov.io/gh/jooyoungseo/ezpickr?branch=master)\n      \nThe goal of ezpickr is to provide R beginners with a convenient way to pick up their data files in a tidy tibble form into an R environment using GUI file-picker dialogue box (`ezpickr::pick()`), and to open and manipulate their data objects using Excel application for a seamless data communication between an Excel and R session (`ezpickr::viewxl()`).\n\nYou can alternatively use `ezpickr::pick()` function for choosing *.csv, *.csv2, *.tsv, *.txt, *.xls, *.xlsx, *.json, *.html, *.htm, *.php, *.pdf, *.doc, *.docx, *.rtf, *.RData, *.Rda, *.RDS, *.sav (SPSS), *.por, *.sas7bdat, *.sas7bcat, *.dta, *.xpt, *.mbox, and *.Rmd files in an interactive GUI mode A file choose dialog box will be prompted.\n\nAny additional arguments available for each file type and extension: `vroom::vroom()` for 'CSV' (Comma-Separated Values); 'CSV2' (Semicolon-Separated Values); 'TSV' (Tab-Separated Values)'txt' (plain text) files; `readxl::read_excel()` for 'Excel' files; `haven::read_spss()` for 'SPSS' files; `haven::read_stata()` for 'Stata' files; `haven::read_sas()` for 'SAS' files; `textreadr::read_document()` for 'Microsoft Word', 'PDF', 'RTF', 'HTML', 'HTM', and 'PHP' files; `jsonlite::fromJSON()` for 'JSON' files; `mboxr::read_mbox()` for 'mbox' files; `rmarkdown::render()` for 'Rmd' files; `base::source()` for 'R' files; `base::readRDS()` for 'RDS' files; `base::load()` for 'RDA' and 'RDATA' files.\n\nEach corresponding function depending upon a file extension will be automatically matched and applied once you pick up your file using either the GUI-file-chooser dialog box or explicit path/to/filename.\n\n## Installation\n\n### Development Version\n\nYou can install the latest development version as follows:\n\n```{r, eval=F}\nif(!require(remotes)) {\ninstall.packages(\"remotes\")\n}\n\nremotes::install_github('jooyoungseo/ezpickr')\n```\n\n### Stable Version\n\nYou can install the released version of ezpickr from [CRAN](https://CRAN.R-project.org) with:\n\n```{r, eval=F}\ninstall.packages(\"ezpickr\")\n```\n\n## Example\n\n### Usage of the `pick()` Function\n\nThis is a basic example which shows you how to import data files:\n\n```{r example1, eval=F}\nlibrary(ezpickr)\n\n# Choosing file and saving it into a variable\n## Scenario 1: Picking up a file using interactive GUI dialog box:\ndata \u003c- pick() ## Please use `picko()` instead if your path/file contains any Korean characters.\n\n## Scenario 2: Picking up a file using an explicit file name (\"test.sav\" in the example below; however, you can feed other files through this function such as *.SAS, *.DTA, *.csv, *.csv2, *.tsv, *.xlsx, *.txt, *.html, webpage URL, *.json, *.Rda, *.Rdata, and more):\ndata \u003c- pick(\"test.sav\") ## Please use `picko(\"test.sav\")` instead if your path/file contains any Korean characters.\n\n# Now you can use the imported file as a tibble data frame.\nstr(data)\n```\n\n### Usage of the `viewxl()` Function\n\nYou can open any data.frame, tibble, matrix, table or vector from an R session into your default-set spreadsheet application window as follows:\n\n```{r example2, eval=F}\nlibrary(ezpickr)\n\ndata(airquality)\nstr(airquality)\n\n# Use `viewxl()` function to open your data object in your spreadsheet:\nviewxl(airquality)\n\n# Then, when necessary, you can modify the opened data in the spreadsheet and save it as a new data.\n\n# You can pass a list object to the `viewxl()` function like below:\nl \u003c- list(iris = iris, mtcars = mtcars, chickwts = chickwts, quakes = quakes)\nviewxl(l)\n# Then, each list item will appear in your Excel window sheet by sheet.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjooyoungseo%2Fezpickr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjooyoungseo%2Fezpickr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjooyoungseo%2Fezpickr/lists"}