Background | Installation | Features | Predictable Names | Common Arguments | Predictable Return Length | Examples | Basic Rolling Means | Using 'width', 'align', 'by' and 'na.rm' | Using roll_mean() with 'weights'
Package: MazamaRollUtils 1.1.0
Jonathan Callahan
MazamaRollUtils: Efficient Rolling Functions
Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.
Authors:
MazamaRollUtils_1.1.0.tar.gz
MazamaRollUtils_1.1.0.zip(r-4.7-x86_64)MazamaRollUtils_1.1.0.zip(r-4.7-arm64)MazamaRollUtils_1.1.0.zip(r-4.6-x86_64)MazamaRollUtils_1.1.0.zip(r-4.6-arm64)MazamaRollUtils_1.1.0.zip(r-4.5-x86_64)
MazamaRollUtils_1.1.0.tgz(r-4.6-x86_64)MazamaRollUtils_1.1.0.tgz(r-4.6-arm64)MazamaRollUtils_1.1.0.tgz(r-4.5-x86_64)MazamaRollUtils_1.1.0.tgz(r-4.5-arm64)
MazamaRollUtils_1.1.0.tar.gz(r-4.7-arm64)MazamaRollUtils_1.1.0.tar.gz(r-4.7-x86_64)MazamaRollUtils_1.1.0.tar.gz(r-4.6-arm64)MazamaRollUtils_1.1.0.tar.gz(r-4.6-x86_64)
MazamaRollUtils_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MazamaRollUtils/json (API)
| # Install 'MazamaRollUtils' in R: |
| install.packages('MazamaRollUtils', repos = c('https://mazamascience.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mazamascience/mazamarollutils/issues
Pkgdown/docs site:https://mazamascience.github.io
Datasets:
- example_pm25 - Example timeseries dataset
Last updated from:fe90b018bc. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 159 | ||
| linux-devel-x86_64 | OK | 147 | ||
| source / vignettes | OK | 211 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 139 | ||
| macos-release-arm64 | OK | 124 | ||
| macos-release-x86_64 | OK | 247 | ||
| macos-oldrel-arm64 | OK | 133 | ||
| macos-oldrel-x86_64 | OK | 371 | ||
| windows-devel-arm64 | OK | 376 | ||
| windows-devel-x86_64 | OK | 131 | ||
| windows-release-arm64 | OK | 380 | ||
| windows-release-x86_64 | OK | 111 | ||
| windows-oldrel-x86_64 | OK | 112 | ||
| wasm-release | OK | 116 |
Exports:findOutliersroll_hampelroll_MADroll_maxroll_meanroll_medianroll_minroll_nowcastroll_prodroll_sdroll_sumroll_var
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example timeseries dataset | example_pm25 |
| Outlier detection with a rolling Hampel filter | findOutliers |
| Roll Hampel | roll_hampel |
| Roll MAD | roll_MAD |
| Roll Max | roll_max |
| Roll Mean | roll_mean |
| Roll Median | roll_median |
| Roll Min | roll_min |
| Roll NowCast | roll_nowcast |
| Roll Product | roll_prod |
| Roll Standard Deviation | roll_sd |
| Roll Sum | roll_sum |
| Roll Variance | roll_var |