Anchored Kmedoids for Longitudinal Data Clustering

Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) ) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on the Calinski-Harabatz criterion (Calinski and Harabatz (1974) ). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) ). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.



title: "README.md" author: "geoMADE" date: "18 April 2019" output: html_document

An R package for analysing and clustering longitudinal data

Description

The akmedoids package advances a set of R-functions for longitudinal clustering of long-term trajectories and determines the optimal solution based on the Caliński-Harabatz criterion (Caliński and Harabasz 1974). The package also includes a set of functions for addressing common data issues, such as missing entries and outliers, prior to conducting advance longitudinal data analysis. One of the key objectives of this package is to facilitate easy replication of a recent paper which examined small area inequality in the crime drop (see Adepeju et al. 2019). Many of the functions provided in the akmedoids package may be applied to longitudinal data in general.

General

Many of the functions provided in the akmedoids package may be applied to longitudinal data in general.

News


title: "NEWS.md" author: "geoMADE" date: "18 April 2019" output: html_document

R Markdown

'Akmedoids' package updated (Version: v0.1.1)

Updates:

The followings are the two updates to the package.

  1. 'statPrint' function is modified as follows: (a) 'reference' argument is added in order to allow different reference lines to measure groups' angular deviation. (b) 'N.quant' argument is added to allow a more comprehensive assessment of angular deviations of groups. (c) 'bandw' argument is removed (as it is no more necessary because of (a) and (b))

  2. A 'vignette' folder added. The folder contains items necessary to render a worked example (.html) based on the package.

Reference manual

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install.packages("akmedoids")

0.1.2 by Monsuru Adepeju, 2 months ago


Browse source code at https://github.com/cran/akmedoids


Authors: Monsuru Adepeju [cre, aut] , Samuel Langton [aut] , Jon Bannister [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports kml, Hmisc, ggplot2, utils, reshape2, longitudinalData

Suggests knitr, rmarkdown, flextable, kableExtra


See at CRAN