How to Use ezpickr

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Convenient Function for Choosing Any Rectangular Data File Using Interactive GUI Dialog 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.

Once you pick up your rectangular data file using pick() function, a tidy tibble (table data.frame) object will be returned automatically for your further analysis.


Development Version

You can install the latest development version as follows:

Stable Version

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

Basic Usage

In order to use ezpickr do the folowing:

# 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):
test <- system.file("extdata", "airquality.sav", package = "ezpickr")
data <- pick(test)

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