Backend: StappletData Object

[drewreed2005]

Objects to...

• Store graphing data for reuse in SQL database
  • Potentially separate for categorical and quantitative
• Contain stat calculation methods

Methods to...

• Construct specified POJO objects
• Calculate mean, SD, median, min, max, correlation, SE, (t, probability, etc.?)

Toby:

1. Quantitative:

   { 
   id: int,
   name: string,
   data: list<Double>,
   mean: double,
   size: int,
   stDev: double,
   min: double,
   max: double,
   median: double,
   qOne: double,
   qThree: double,
   }

2 Quantitative Variables:

{
   id: int,
   explanatoryID: int,
   responseID: int,
   correlation: double,
   LSRL: LSRLobj
}

2.5 LSRLobj

{
   slope: double,
   intercept: double,
   stdDev: double,
   correlationSqr: double
}

Isabelle:

3. Categorical

   {
   id: int,
   size: int,
   data: ArrayList<Catagorical>
   }

3.5 Categorical

{
     name: String,
     freq: int,
     relFreq: double
}

4.0 CategoricalVars

{
   id: int,
   explanatoryName: String,
   responseName: String,

   Frequencies: double[][]
}

4.5 TwoCategorical

{
     Explanatory: String,
     Response: String,
     freq: int,
     relFreq: double
}

[drewreed2005]

First Pull Request

See this pull request for details about features and contributions.

(Code by Raymond and Haoxuan)