Data | Examining datasets: loupe() | Additional arguments from waldo::compare() | Extracting unexpected changes: catch() | Dropping unexpected changes: release() | Checking for continuity: timeline() | Grouping distinct continuous sequences: timeline_group() | Using butterfly in a data processing pipeline | A note on controlling verbosity | Rationale | Unexpected changes in models | Unexpected changes in data acquisition | Variable measurement frequencies | In summary
Package: butterfly 1.1.2
Thomas Zwagerman
butterfly: Verification for Continually Updating Time Series Data
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.
Authors:
butterfly_1.1.2.tar.gz
butterfly_1.1.2.zip(r-4.7)butterfly_1.1.2.zip(r-4.6)butterfly_1.1.2.zip(r-4.5)
butterfly_1.1.2.tgz(r-4.6-any)butterfly_1.1.2.tgz(r-4.5-any)
butterfly_1.1.2.tar.gz(r-4.7-any)butterfly_1.1.2.tar.gz(r-4.6-any)
butterfly_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
butterfly/json (API)
| # Install 'butterfly' in R: |
| install.packages('butterfly', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org')) |
Reviews:rOpenSci Software Review #676
Bug tracker:https://github.com/ropensci/butterfly/issues
Pkgdown/docs site:https://docs.ropensci.org
Datasets:
- butterflycount - Butterfly count dummy data
- butterflymess - Butterfly count messy data
- forestprecipitation - Forest precipitation dummy data
data-versioningqaqctimeseriesverification
Last updated from:11b30d8457 (on main). Checks:9 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 124 | ||
| pkgdown docs | ERROR | 162 | ||
| source / vignettes | OK | 204 | ||
| linux-release-x86_64 | OK | 122 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-oldrel-arm64 | OK | 97 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 103 |
Exports:catchcreate_object_listloupereleasetimelinetimeline_group
Dependencies:clicrayondiffobjdplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Butterfly count dummy data | butterflycount |
| Butterfly count messy data | butterflymess |
| Catch: return dataframe containing only rows that have changed | catch |
| create_object_list: creates a list of objects used in all butterfly functions | create_object_list |
| Forest precipitation dummy data | forestprecipitation |
| Loupe: compare new and old data in continuously updated timeseries | loupe |
| Release: return current dataframe without changed old rows | release |
| timeline: check if a timeseries is continuous | timeline |
| timeline_group: check if a timeseries is continuous | timeline_group |
