Package: InPlotSampling 0.1.0
Sam Rogers
InPlotSampling: Easing the Application of Ranked Set Sampling in Practice
The InPlotSampling package provides a way for researchers to easily implement Ranked Set Sampling in practice. Ranked Set Sampling was originally described by McIntyre (1952) (reprinted in 2005) <doi:10.1198/000313005X54180>. This package takes work by Omer and Kravchuk (2021) <https://doi.org/10.1007/s13253-021-00439-1> and enables easy use of the methods.
Authors:
InPlotSampling_0.1.0.tar.gz
InPlotSampling_0.1.0.zip(r-4.7-x86_64)InPlotSampling_0.1.0.zip(r-4.7-arm64)InPlotSampling_0.1.0.zip(r-4.6-x86_64)InPlotSampling_0.1.0.zip(r-4.6-arm64)InPlotSampling_0.1.0.zip(r-4.5-x86_64)
InPlotSampling_0.1.0.tgz(r-4.6-x86_64)InPlotSampling_0.1.0.tgz(r-4.6-arm64)InPlotSampling_0.1.0.tgz(r-4.5-x86_64)InPlotSampling_0.1.0.tgz(r-4.5-arm64)
InPlotSampling_0.1.0.tar.gz(r-4.7-arm64)InPlotSampling_0.1.0.tar.gz(r-4.7-x86_64)InPlotSampling_0.1.0.tar.gz(r-4.6-arm64)InPlotSampling_0.1.0.tar.gz(r-4.6-x86_64)
InPlotSampling_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
InPlotSampling/json (API)
| # Install 'InPlotSampling' in R: |
| install.packages('InPlotSampling', repos = c('https://aagi-aus.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aagi-aus/inplotsampling/issues
Pkgdown/docs site:https://aagi-aus.github.io
- coombe2019 - Coombe Vineyard Data from 2019 Season.
- emergence_ranks - Ranks for Seed Emergence.
- population - Seed Emergence Population.
Last updated from:5a444efee2. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 93 | ||
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 203 | ||
| linux-release-arm64 | OK | 91 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-release-x86_64 | OK | 197 | ||
| macos-oldrel-arm64 | OK | 111 | ||
| macos-oldrel-x86_64 | OK | 202 | ||
| windows-devel-arm64 | OK | 349 | ||
| windows-devel-x86_64 | OK | 141 | ||
| windows-release-arm64 | OK | 369 | ||
| windows-release-x86_64 | OK | 72 | ||
| windows-oldrel-x86_64 | OK | 100 | ||
| wasm-release | OK | 86 |
Exports:jps_estimatejps_samplerss_jps_estimaterss_samplesbs_pps_estimatesbs_pps_sampletwo_stage_cluster_sample
Dependencies:clicpp11farverFNNggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesSDaAvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate boostrap sample on the provided population. | bootstrap_sample |
| Coombe Vineyard Data from 2019 Season. | coombe2019 |
| Ranks for Seed Emergence. | emergence_ranks |
| InPlotSampling: Easing the Application of Ranked Set Sampling in Practice | InPlotSampling-package InPlotSampling |
| Computes the estimator for JPS data | jps_estimate |
| Generate JPS sampling on the provided population. | jps_sample |
| Seed Emergence Population. | population |
| Estimate means from RSS or JPS sample. | rss_jps_estimate |
| Generate ranked set sampling (RSS) on the population provided. | rss_sample |
| Compute an estimator for SBS PPS sampled data. | sbs_pps_estimate |
| Generate a heat map of SBS PPS sample of the provided population. | sbs_pps_heatmap |
| Generate probability proportional to size (PPS) and spatially balanced sampling on the population provided. | sbs_pps_sample |
| Generate a single boostrap sample on the provided population. | single_bootstrap |
| Generate two-stage cluster sampling on the population provided. | two_stage_cluster_sample |