The full list of supported formats is below: NameĪdditionally, any format that is not supported by rio but that has a known R implementation will produce an informative error message pointing to a package and import or export function. To ensure rio is fully functional, install these packages the first time you use rio via: install_formats() To keep the package slim, all non-essential formats are supported via “Suggests” packages, which are not installed (or loaded) by default. Rio supports a variety of different file formats for import and export. The convert function therefore combines import and export to easily convert between file formats (thus providing a FOSS replacement for programs like Stat/Transfer or Sledgehammer). Transferring data files between various proprietary formats is always a pain and often expensive. By taking away the need to manually match a file type (which a beginner may not recognize) to a particular import or export function, rio allows almost all common data formats to be read with the same function.īy making import and export easy, it’s an obvious next step to also use R as a simple data conversion utility. This is the same logic used by Windows OS, for example, in determining what application is associated with a given file type. Specifically, rio uses the file extension of a file name to determine what kind of file it is. The core advantage of rio is that it makes assumptions that the user is probably willing to make. rio aims to unify data I/O (importing and exporting) into two simple functions: import() and export() so that beginners (and experienced R users) never have to think twice (or even once) about the best way to read and write R data. Faster, simpler, packages with fewer dependencies have been created for many of the file types described in that document. And, despite all of that text, most of the packages described are (to varying degrees) out-of-date. Indeed, R supplies an entire manual describing the process of data import/export. This process is, probably unnecessarily, extremely complex for beginning R users. Trailing rows and columns that do not contain data.The idea behind rio is to simplify the process of importing data into R and exporting data from R. The importing functionĪutomatically detects the used range by trimming any leading and The spreadsheet that actually contains data. Note: Used Range refers to the rectangular portion of If unspecified, the importing function automatically detects Named ranges exist in a spreadsheet, then the importing function can For instance, you can select a rectangular portion of In Excel, you can create names to identify ranges in the Reading from the specified first row to the end of the data or the Importing function automatically detects the extent of the data by Specify the first row containing the data using the positive The specified range must match the number specified in the The row extent by reading from the first nonempty row to the end of Specified column range, the import function automatically detects Range by identifying the beginning and ending columns using Range, the importing function automatically detects the columnĮxtent by reading from the first nonempty column to the end of theĭata, and creates one variable per column. Specify the range by identifying the beginning and ending rows Specified range are imported as missing cells. Forĭata contained in the specified range. Start-row, start-column, end-row, and end-column. Using a four element numeric vector containing Opposing corners that define the region to read in Import 10 rows of the first 5 variables from the worksheet named '2007'. Year Month DayofMonth DayOfWeek DepTime CRSDepTime ArrTime CRSArrTime UniqueCarrier FlightNum TailNum ActualElapsedTime CRSElapsedTime AirTime ArrDelay DepDelay Origin Dest Distance TaxiIn TaxiOut Cancelled CancellationCode Diverted CarrierDelay WeatherDelay SDelay SecurityDelay LateAircraftDelay
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