Package: MazamaRollUtils 0.1.3

Jonathan Callahan

MazamaRollUtils: Efficient Rolling Functions

A suite of compiled functions calculating rolling mins, means, maxes and other statistics. This package is designed to meet the needs of data processing systems for environmental time series.

Authors:Jonathan Callahan [aut, cre], Hans Martin [aut]

MazamaRollUtils_0.1.3.tar.gz
MazamaRollUtils_0.1.3.zip(r-4.5)MazamaRollUtils_0.1.3.zip(r-4.4)MazamaRollUtils_0.1.3.zip(r-4.3)
MazamaRollUtils_0.1.3.tgz(r-4.4-x86_64)MazamaRollUtils_0.1.3.tgz(r-4.4-arm64)MazamaRollUtils_0.1.3.tgz(r-4.3-x86_64)MazamaRollUtils_0.1.3.tgz(r-4.3-arm64)
MazamaRollUtils_0.1.3.tar.gz(r-4.5-noble)MazamaRollUtils_0.1.3.tar.gz(r-4.4-noble)
MazamaRollUtils_0.1.3.tgz(r-4.4-emscripten)MazamaRollUtils_0.1.3.tgz(r-4.3-emscripten)
MazamaRollUtils.pdf |MazamaRollUtils.html
MazamaRollUtils/json (API)
NEWS

# Install 'MazamaRollUtils' in R:
install.packages('MazamaRollUtils', repos = c('https://mazamascience.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mazamascience/mazamarollutils/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cpprcpp

11 exports 1 stars 1.33 score 1 dependencies 2 dependents 23 scripts 249 downloads

Last updated 1 years agofrom:434a16495e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-win-x86_64OKSep 02 2024
R-4.5-linux-x86_64OKSep 02 2024
R-4.4-win-x86_64OKSep 02 2024
R-4.4-mac-x86_64OKSep 02 2024
R-4.4-mac-aarch64OKSep 02 2024
R-4.3-win-x86_64OKSep 02 2024
R-4.3-mac-x86_64OKSep 02 2024
R-4.3-mac-aarch64OKSep 02 2024

Exports:findOutliersroll_hampelroll_MADroll_maxroll_meanroll_medianroll_minroll_prodroll_sdroll_sumroll_var

Dependencies:Rcpp

Introduction to MazamaRollUtils

Rendered fromMazamaRollUtils.Rmdusingknitr::rmarkdownon Sep 02 2024.

Last update: 2021-09-23
Started: 2021-09-23

Readme and manuals

Help Manual

Help pageTopics
Mazama Science Rolling UtilitiesMazamaRollUtils-package MazamaRollUtils
Example timeseries datasetexample_pm25
Outlier Detection with a Rolling Hampel FilterfindOutliers
Roll Hampelroll_hampel
Roll MADroll_MAD
Roll Maxroll_max
Roll Meanroll_mean
Roll Medianroll_median
Roll Minroll_min
Roll Productroll_prod
Roll Standard Deviationroll_sd
Roll Sumroll_sum
Roll Varianceroll_var