j.m. lilly

jLab v. 1.6.6


A data analysis package for Matlab, with ∼300 routines for big data analysis, signal processing, mapping, and oceanographic applications.

Version 1.6.6 introduces several dozen improvements as well as ten new functions, including {ncload} for easy reading of NetCDF files and {interplatlon} for interpolation on the sphere. See the {changelog} for details.

  1. Download. jLab is available at {GitHub} and the {Mathworks File Exchange}.
  2. Install. After unzipping, rename the top-level directory to “jlab”. Put “addpath /your/path/to/jlab” followed by “jlab_addpath” into your startup.m file, and type “startup” at the Matlab prompt. Then kindly type “jlab_runtests” and follow the instructions.
  3. Getting started. Browse the extensive linked online {documentation}.
  4. Report. Please send comments, questions, and bug reports to me at {eponym@jmlilly.net}.
  5. Attribute. Acknowledge jLab in scientific publications as: “Lilly, J. M. (2019), jLab: A data analysis package for Matlab, v. 1.6.6, http://www.jmlilly.net/jmlsoft.html.”
  6. Modify. You may share and adapt this software under the {Creative Commons Attribution-Noncommercial-ShareAlike License v. 4.0.}
  7. Sign up. If you're using jLab, please register for updates using the mailing list below. Expect 1-3 emails per year.

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