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hotspots  

Hot Spots
View on CRAN: Click here


Download and install hotspots package within the R console
Install from CRAN:
install.packages("hotspots")

Install from Github:
library("remotes")
install_github("cran/hotspots")

Install by package version:
library("remotes")
install_version("hotspots", "1.0.3")



Attach the package and use:
library("hotspots")
Maintained by
Anthony Darrouzet-Nardi
[Scholar Profile | Author Map]
First Published: 2010-06-30
Latest Update: 2018-05-30
Description:
The hotspots package is designed to look within a set of measured values of a variable and identify values that are disproportionately high based on both the deviance of any given value from a statistical distribution and its similarity to other values. Because this relative magnitude of each value is taken into account, a value that is a statistical outlier may not always be a hot spot if other values are similarly large.
How to cite:
Anthony Darrouzet-Nardi (2010). hotspots: Hot Spots. R package version 1.0.3, https://cran.r-project.org/web/packages/hotspots. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0.1 (2010-07-06 09:35), 1.0.2 (2012-10-29 08:58), 1.0.3 (2018-05-31 00:28), 1.0 (2010-06-30 13:58)
Other packages that cited hotspots R package
View hotspots citation profile
Other R packages that hotspots depends, imports, suggests or enhances
Complete documentation for hotspots
Functions, R codes and Examples using the hotspots R package
Some associated functions: Lchs . disprop . hotspots . plot.hotspots . summary.hotspots . 
Some associated R codes: Lchs.R . disprop.R . hotspots.R . outliers.R . plot.hotspots.R . print.hotspots.R . print.summary.hotspots.R . summary.hotspots.R .  Full hotspots package functions and examples
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