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HistDat
View on CRAN: Click
here
Download and install HistDat package within the R console
Install from CRAN:
install.packages("HistDat")
Install from Github:
library("remotes")
install_github("cran/HistDat") Install by package version:
library("remotes")
install_version("HistDat", "0.2.0") Attach the package and use:
library("HistDat")
Maintained by
Michael Milton
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-02
Latest Update: 2021-04-06
Description:
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.
How to cite:
Michael Milton (2021). HistDat: Summary Statistics for Histogram/Count Data. R package version 0.2.0, https://cran.r-project.org/web/packages/HistDat. Accessed 29 Oct. 2026.
Previous versions and publish date:
0.1.0 (2021-04-02 10:50), (2026-07-09 08:06)
Other packages that cited HistDat R package
View HistDat citation profile
Other R packages that HistDat depends,
imports, suggests or enhances
Complete documentation for HistDat
Functions, R codes and Examples using
the HistDat R package
Some associated functions: HistDat-class . HistDat-package . HistDat . as.ecdf-HistDat-method . as.ecdf . as.vector-HistDat-method . c-HistDat-method . length-HistDat-method . max-HistDat-method . mean-HistDat-method . median-HistDat-method . min-HistDat-method . quantile-HistDat-method . range-HistDat-method . sd-HistDat-method . sort-HistDat-method . sub-HistDat-ANY-ANY-ANY-method . sum.HistDat . var-HistDat-method .
Some associated R codes: histogram.R . Full HistDat package functions and examples
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