Installing and setting up

Highly comparative time-series analysis using hcts

GitHub: hctsa

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Introduction

List of included code files

Example analysis pipelines

Advice and common pitfalls

Installing and setting up

Structure of the hctsa framework

Overview of an hctsa analysis

Compiling binaries

Running hctsa computations

Analyzing and visualizing results

Working with a mySQL database

Installing and setting up

The hctsa package can be used completely within Matlab, allowing users to analyse time-series datasets quickly and easily. Here we will focus on this Matlab-based use of the software, but note that, for larger datasets requiring distributed computing set-ups, or datasets that may grow with time, hctsa can also be linked to a mySQL database, as described in a dedicated chapter.
Installing the hctsa package
The simplest way to get the hctsa package up and running is to run the install script, which adds the required paths to dependent time-series packages (toolboxes), and compiles mex binaries to work on your system architecture. Once this one-off installation step is complete, you're ready to go! (NB: to include additional functions from the TISEAN nonlinear time-series analysis package, you'll also need to compile TISEAN routines).
After installation, future use of the package can begin by opening Matlab, navigating to the hctsa package, and then loading the paths required by the hctsa package by running the startup script.

Advice and common pitfalls

Structure of the hctsa framework

Last modified 3yr ago

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Installing the hctsa package