Changelog
Source:NEWS.md
animovement 0.5.1
Previously, smooth_track was only built to smoothen trackball data. In this fix, we fixed it by doing the following: - Changed the name to smooth_movement - Added parameter use_derivatives (default: FALSE) which is how trackball data should be smoothed - Written the non-derivative code
So now smooth_movement should be able to smooth all your movement data!
animovement 0.5.0
A big update! There are three major updates: - We finally stabilised on a data format and implemented it for all readers! - We’ve introduced metadata. It’s still experimental, but an important step in the right direction. - We added tests to ensure the output data frames from readers always contain the expected columns and column classes. - We also added tests to ensure metadata is present after reading a data frame.
We are not nearly done with the work on metadata, but are exited to finally get it started.
animovement 0.4.1
Changed parameter in read_animalta().
animovement 0.3.0
Has added the ability to read centroid tracking from Bonsai files through read_bonsai().
animovement 0.2.0
Package name changed to animovement! To reflect the change in scope of the package to now cover a wide variety of movement data, the package has changed its name. This was a conscious decision as maintaining two packages with similar functionality wouldn’t be feasible long-term. The new update brings with it a wealth of new functionality, but also a lot of breaking changes. With this update, the package aligns much closer to my vision for it, and I expect no more major breaking changes in the near future. So let’s delve in to all the new stuff!
- Much improved documentation
- Added new readers
read_deeplabcut(),read_sleap(),read_trex()… - Standardised data cleaning with
smooth_tracks() - More tests
Although this is annoying to current users, it was a necessity to ensure proper testing of all the various functions which have now been broken into smaller subsets. If you still need the former trackballr package functionality, you can download the source files in Github and install from source.
If you encounter bugs, please report them in the Github issues.