In tchouangue/traj: Trajectory Analysis

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

traj

The goal of $\texttt{traj}$ is to implement the three-step procedure proposed by Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) calculating 24 measures describing the features of the trajectories; (2) using factor analysis to select a subset of the 24 measures and (3) using cluster analysis to identify clusters of trajectories, and classify each individual trajectory in one of the clusters.

Installation

You can install the development version of $\texttt{traj}$ from GitHub with:

# install.packages("devtools")
devtools::install_github("tchouangue/traj")

Example

This is a basic example which shows you how to solve a common problem:

library(traj)

# Step 1. Setup data 
data = example.data$data

# Step 2. Computing 24 measures of each trajectory
s1 = step1measures(data, ID=TRUE)

# Step 3. Factor analysis  
s2 = step2factors(s1)

# Step 4. Clustering the trajectories
s3 = step3clusters(s2, nclusters = 4)

plot(s3)