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cmahalanobis  

Calculate Distance Measures for a Given List of Data Frames with Factors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cmahalanobis", "0.5.0")



Attach the package and use:
library("cmahalanobis")
Maintained by
Flavio Gioia
[Scholar Profile | Author Map]
First Published: 2024-02-20
Latest Update: 2024-02-20
Description:
It provides a function that calculates the Mahalanobis distance between each pair of species in a list of data frames. Each data frame contains the observations of a species with some factors. Mahalanobis distance is a measure of dissimilarity between two vectors of multivariate random variables, based on the covariance matrix. This distance is useful for statistical matching or fusion of data, that is the integration of two data sources that refer to the same target population and that share some variables. - "Fisher, R.A. (1922) On the mathematical foundations of theoretical statistics. ". - "Mahalanobis, P.C. (1936) On the generalized distance in statistics. ".
How to cite:
Flavio Gioia (2024). cmahalanobis: Calculate Distance Measures for a Given List of Data Frames with Factors. R package version 0.5.0, https://cran.r-project.org/web/packages/cmahalanobis. Accessed 10 May. 2025.
Previous versions and publish date:
0.1.0 (2024-02-20 22:10), 0.2.0 (2024-05-17 19:00), 0.3.0 (2024-05-20 15:10), 0.4.0 (2024-09-16 15:10), 0.4.1 (2024-09-22 00:40), 0.4.2 (2024-09-24 00:00)
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Functions, R codes and Examples using the cmahalanobis R package
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