ThingSpeak is a web service hosted by MathWorks that lets you collect, analyze and act on sensor data, and develop Internet of Things applications. The ThingSpeak Support Toolbox lets you use MATLAB (R2014b through R2018b) to read data from ThingSpeak and write data to ThingSpeak. For 2019a and higher, these functions are built into MATLAB so there is no need to download this toolbox.
Documentation for the functions in the toolbox can also be found here:
MathWorks Internet of Things Team (2019). ThingSpeak Support Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/52244-thingspeak-support-toolbox), MATLAB Central File Exchange. Retrieved .
somebady help for my prject
my project is multi purpose robort my robort is using sensor for mq9 and flame sensor . the two srnsor values how to add on iot codeing plz send him my mail id is firstname.lastname@example.org
this codeing is very deficult please help me
Is there any function to pdate a talkback command?
Yes, you can compile this ThingSpeak support Toolbox by adding the entire folder (ThingSpeak Support Toolbox folder) to "Files required for your application to run" in Compiler window.
Is it possible to use it with Matlab compiler?
how do i run the zip/toolbox file
Just open the mltbx file and (provided you already have MATLAB installed), you should be prompted to install the toolbox.
How to install this Thingspeak support toolbox?
How to install thr "Thingspeak support toolbox" after downloading ??
Can any one tell ?
How to install this toolbox?
It's a pity the source code is p-coded.
Updated description to indicate relevant releases for this toolbox. Updated error messages.
Contains bug fixes and updates to error codes.
Added link to documentation and updated description and image.
Bug fix and performance optimization.
For users of R2016b, this updated version of the submission adds support for Timetable in thingSpeakRead and thingSpeakWrite. In addition, you will find documentation updates which provide examples on using Timetable for processing ThingSpeak data.
Update includes improved error messages and documentation. For users with R2016a, we have also added support for “Tab Completion” of functional names parameters.
Fixed bug preventing use on Mac platform in R2015a.
Updated minimum release to 14b.