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:

  1. 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
}