socr.model interface

This is the model object where all the computation , data manipulation and storage of data happens. All the data is stored in the private variables. socr.model is defined in the object literal pattern and the function returns all publicly available methods and properties.

Private Variables

_dataset={}

This object contains the initial dataset created by the user (both incase of simulation and datadriven mode).For example, when the user generates 2 datasets from the binomial coin toss experiment, _dataset ={0:{"index":"0", "keys":"H,T,H,H,H", "values":"1,0,1,1,1", "name":null}, 1:{"index":"1", "keys":"H,T,T,H,T", "values":"1,0,0,1,0", "name":null}}

_bootstrapGroupKeys

This object contains all the random samples generated by the user. Every group has random samples from all the initial group of datasets.

_bootstrapGroupValues

Private Methods

_getRandomInt(min,max)

_generateMean(sampleNumber,K)

_generateCount(sampleNumber,K)