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The ‘data.io’ package provides several example datasets in a standardized way, as well as, a read() function to retrieve them, or to import external datasets in different formats in an unified way.

There are several datasets spread between various R packages, but there is no clear convention to name them, or their variables, on units to use (some are in metric units, but other ones use the imperial unit system), etc. Here, we propose a set of data, partly converted from other packages, partly new ones, that respect the following conventions:

  • U.K. English,

  • snake_case names, both for the datasets and their variables,

  • Uppercase for factor levels (but less strict),

  • data frames are converted according to user preferences indicated in options(SciViews.as_dtx = ...). The default is as_dtt which converts into a data.table. Other options are as_dtf to concert into base R data.frame objects, or as_dtbl to convert into {tibble}’s tbl_df objects.

  • variables have a label attribute with more meaningful (short) description of the variables, and a units attribute, if applicable.

  • the origin of the data is recorded as an src attribute to the comment if this is a R package dataset, or as a srcfile attribute to comment if it read from a file.