ezpickr: Convenient package/function for choosing any rectangular data file using interactive GUI dialog box

License: GPL v3 CRAN status Lifecycle: stable Travis build status AppVeyor build status Codecov test coverage

The goal of ezpickr is to provide R beginners with a convenient way to pick up their data files and to easily import it as a tidy tibble form into an R environment using GUI file-picker dialogue box.

You can alternatively use this 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, and .dta files in an interactive GUI mode A file choose dialog box will be prompted.

Any additional arguments available for each file type and extension: readr::read_csv() for CSV (Comma-Separated Values) files; readr::read_csv2() for CSV2 (Semicolon-Separated Values) files; readr::read_tsv() for ‘TSV’ (Tab-Separated Values) files; readr::read_file() for ‘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; base::readRDS() for ‘RDS’ files; base::load() for ‘RDA’ and ‘RDATA’ files.

Each 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.


Development Version

You can install the latest development version as follows:

if(!require(devtools)) {


Stable Version

You can install the released version of ezpickr from CRAN with:



This is a basic example which shows you how to import data files:


# Choosing file and saving it into a variable
## Scenario 1: Picking up a file using interactive GUI dialog box:
data <- pick()

## 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 containing table, *.json, *.Rda, *.Rdata, and more):
data <- pick("test.sav")

# Now you can use the imported file as a tibble data frame.