Verification of continually updating time series data where we expect new values, but want to ensure previous data remains unchanged. Data previously recorded could change for a number of reasons, such as discovery of an error in model code, a change in methodology or instrument recalibration. Monitoring data sources for these changes is not always possible. Other unnoticed changes could include a jump in time or measurement frequency, due to instrument failure or software updates. Functionality is provided that can be used to check and flag changes to previous data to prevent changes going unnoticed, as well as unexpected jumps in time.
Package details |
|
---|---|
Author | Thomas Zwagerman [aut, cre] (<https://orcid.org/0009-0003-3742-3234>), British Antarctic Survey [cph], Quentin Read [rev] (Quentin reviewed the package (v. 1.1.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/676>) |
Maintainer | Thomas Zwagerman <thozwa@bas.ac.uk> |
License | MIT + file LICENSE |
Version | 1.1.2 |
URL | https://docs.ropensci.org/butterfly/ https://github.com/ropensci/butterfly/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.