Rendered from
histdat.Rmdusingknitr::rmarkdownPackage: HistDat 0.2.0
HistDat: Summary Statistics for Histogram/Count Data
In some cases you will have data in a histogram format, where you have a vector of all possible observations, and a vector of how many times each observation appeared. You could expand this into a single 1D vector, but this may not be advisable if the counts are extremely large. 'HistDat' allows for the calculation of summary statistics without the need for expanding your data.
Authors:
HistDat_0.2.0.tar.gz
HistDat_0.2.0.zip(r-4.7-any)HistDat_0.2.0.zip(r-4.6-any)HistDat_0.2.0.zip(r-4.5-any)
HistDat_0.2.0.tgz(r-4.6-any)HistDat_0.2.0.tgz(r-4.5-any)
HistDat_0.2.0.tar.gz(r-4.7-any)HistDat_0.2.0.tar.gz(r-4.6-any)
HistDat_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HistDat/json (API)
| # Install 'HistDat' in R: |
| install.packages('HistDat', repos = c('https://multimeric.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/multimeric/histdat/issues
Last updated from:d33e1ca807. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 110 | ||
| source / vignettes | OK | 202 | ||
| linux-release | OK | 100 | ||
| macos-release | OK | 157 | ||
| macos-oldrel | OK | 163 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 75 | ||
| windows-oldrel | OK | 69 | ||
| wasm-release | OK | 89 |
Exports:as.ecdfHistDatmeanmedianquantilesdsortvar
Dependencies:
