- Adding new
butterfly::timeline()
function, which checks if a time series is continuous. The user can specify the difference between timesteps expected (#24). - Adding new
butterfly::timeline_group()
function, which groups a time series in distinct, but continuous groups (#24).
- Enabled further passing of
waldo
parameters (such as tolerance) (#18). - Improved CONTRIBUTING.md (#29).
-
Initial release:
butterfly::loupe()
- examines in detail whether previous values have changed, and returns TRUE/FALSE for no change/change.butterfly::catch()
- returns rows which contain previously changed values in a dataframe.butterfly::release()
- drops rows which contain previously changed values, and returns a dataframe containing new and unchanged rows.butterfly::create_object_list()
- returns a list of objects required by all ofloupe()
,catch()
andrelease()
. Contains underlying functionality.butterflycount
- a list of monthly dataframes, which contain fictional butterfly counts for a given date.