{"id":1943,"date":"2016-11-05T11:35:21","date_gmt":"2016-11-05T15:35:21","guid":{"rendered":"https:\/\/blogs.mathworks.com\/iot\/?p=1943"},"modified":"2018-11-30T11:05:14","modified_gmt":"2018-11-30T16:05:14","slug":"matlab-toolboxes-on-thingspeak","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/iot\/2016\/11\/05\/matlab-toolboxes-on-thingspeak\/","title":{"rendered":"MATLAB Toolboxes are Now Available on ThingSpeak for IoT Analytics"},"content":{"rendered":"

ThingSpeak<\/a> offers an easy way to collect data from things, analyze and visualize the data with MATLAB<\/a>, and act on your data. With MATLAB from MathWorks, you have access to powerful data processing and analysis functions for IoT data. To extend the functionality, we offer toolboxes such as the\u00a0Statistics and Machine Learning Toolbox™<\/a>\u00a0and\u00a0Signal Processing Toolbox™<\/a>. These toolboxes need a license from MathWorks. If you have access to these toolboxes linked to a MathWorks Account, you have access to many of the toolboxes on ThingSpeak. All you have to do is to log in to ThingSpeak using your MathWorks Account credentials. With very little code, it is possible to forecast tidal depths<\/a> using tide data collected by a ThingSpeak channel and the System Identification Toolbox.<\/p>\n

\"Tide<\/a><\/p>\n

When you are logged into ThingSpeak using your MathWorks\u00a0Account<\/a>, you can use functions from the following toolboxes if you are licensed to use them:<\/p>\n

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