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Upcoming release

• Removed ggplot2::scale_type() again, because ggplot2 gained (with v3.4.2) an additional scale_type.integer() method that already ensures proper method dispatch, there. Also removed ggplot2 from DESCRIPTION file.

tinylabels 0.2.4

• Added a method for ggplot2::scale_type() to avoid unnecessary warnings.
• The double-bracket indexing method got an additional argument keep_label to specify whether the variable label should be retained.
• Package documentation now uses the "_PACKAGE" feature.

tinylabels 0.2.3

• Added as() methods to support the S4 class system.
• For the data-frame method, if names of to-be-assigned values (i.e., keys) are duplicated, an informative error message is returned.
• Added vignette specifying desired behavior of the tiny_labelled class.

tinylabels 0.2.2

• Added methods for group generics Math, Ops, Summary, and Complex from the base package.

tinylabels 0.2.1

• Removed LazyData from DESCRIPTION file

tinylabels 0.2.0

• Added a NEWS.md file to track changes to the package.
• Input validation now ensures that variable labels are (1) atomic vectors (i.e., no list-like objects) of (2) length equal to zero or one that (3) are not NULL.
• In variable.data.frame()<-, NULL elements of a value list are now ignored, which simplifies extracting variable labels from one data frame and assigning these variable labels to the corresponding columns of another data frame.
• In assign_label.default(), label and class attribute are now directly set, which comes with a small performance benefit.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.