How to generate data from Kernel Distribution fit ?

I have fitted some data to through kernel distribution using the distribution fitting app. But I could not figure out hoe to generate data points using this distribution. Distribution kdfit is exported to workspace as can be seen in the figure below. How can i use this distribution to genrate say 20 datapoints that follow this distribution. ( PS: this distribution is generated from 50000 datapoints)

Data file is also attached if you could please suggest a better way to fit this data. This is the EV charging start time during a day ( in minutes).

Answer 1

[VINAYAK LUHA]

Hi Haroon,

To the best of my understanding, you wish to generate sample datapoints that follows the kernel distribution fit of your data.

Refer to step 5 in the following documentation on how to generate random numbers from a fitted kernel distribution https://in.mathworks.com/help/stats/fit-a-kernel-distribution-object-to-data.html

For improving the fit, you can adjust the bandwidth or kernel type parameters and settle for some quality as per the following documentation.https://in.mathworks.com/help/stats/kernel-distribution.html

Hope this helps.