The goal of this project is to design a modern and portable SOCR web-app that demonstrates the concepts of statistical analysis such as resampling, randomization and probabilistic simulation and runs seamlessly across varied devices.
Current Version: 0.3.2
Created by SOCR @ UMich . Code available under MIT Licence at Github
Please send an email to selvam.palanimalai@gmail.com to report bugs.
There are a list of simulation experiments you can choose from to create the dataset for further analysis. Currently we have 5 experiments installed into the App. More are soon to come!
So, This is basically a simulation app for drawing important inferences from either user provided data OR simulation generated data. It uses the bootstrap algorithm to draw random samples from a dataset to calculate the relevant parameters.
How to generate data using the inbuilt simulations?
First choose a pre-loaded experiment from the list in the input tile {which opens up when you click on the blue input vertical button }.
Set the parameters in the controller tile.
Generate a dataset to draw random samples from.
Generate a lot random samples by pressing the green run button.
Set the range of samples you want to see in the SampleList (on the right side of the page) and click show button.
Choose the variable from the drop down in the controller tile and click on the red infer button to see the visualization.
What is this share instance button?
Incase you want to share your app with the data loaded {not the generated random samples} and the predefined settings. You can just generate the url are {click the share instance}and share it with anyone you like !
What inference can I deduce from this application?
Currently we support 4 variables. Mean , Count ,Standard Deviation , Percentile .
Where can I find the documentation for the SOCR webapp?
We will be shortly uploading the API along with a documentation.
How to install my own experiment into SOCR webapp?
We will be shortly uploading the API along with a documentation.
