var jStat = require('jStat');

function normalDataSet(mean, std) {
  var data = [];
  for (var i = mean - 4*std; i <= mean + 4*std; i += 0.08*std) {
    el = {
      "x": i,
      "y": jStat.normal.pdf(i, mean, std)
    }
    data.push(el);
  }

  return data;
}

function deterministicDataSet(mean) {
  var data = [];
  for (var i = 0; i <= 400; i ++) {
    el = {
      "x": i,
      "y": mean*i
    }
    data.push(el);
  }
  return data;
}

function uniformDataSet(min, max) {
  var data = [{"x":0, "y":0}, {"x":min, "y":0}];
  for (var i = min; i <= max; i += ((max-min)/400)) {
    el = {
      "x": i,
      "y": jStat.uniform.pdf( i, min, max )
    }
    data.push(el);
  }
  data.push({"x":max, "y":0}, {"x":max+5, "y":0});
  return data;
}

function logNormalDataSet(mean, std) {
  var data = [];
  for (var i = 0; i <= 5; i += 0.025) {
    el = {
      "x": i,
      "y": jStat.lognormal.pdf(i, mean, std)
    }
    data.push(el);
  }
  return data;
}

function triangularDataSet(min, max, likely) {
  var data = [];
  for (var i = min; i <= max; i += ((max-min)/400)) {
    el = {
      "x": i,
      "y": jStat.triangular.pdf(i, min, max, likely)
    }
    data.push(el);
  }
  return data;
}

function truncatedNormalDataSet(mean, std, min, max) {
  var data = [{"x":mean-5, "y":0}, {"x":min, "y":0}];
  for (var i = min; i <= max; i += ((max - min)/400)) {
    el = {
        "x": i,
        "y": jStat.normal.pdf(i, mean, std)
      }
    data.push(el);
    }
  data.push({"x":max, "y":0}, {"x":mean+5, "y":0});
  return data;
}

function truncatedLogNormalDataSet(mean, std, min, max) {
  var data = [{"x":0, "y":0}, {"x":min, "y":0}];
  for (var i = min; i <= max; i += ((max - min)/400)) {
    el = {
      "x": i,
      "y": jStat.lognormal.pdf(i, mean, std)
    }
    data.push(el);
  }
  data.push({"x":max, "y":0}, {"x":5, "y":0});
  return data;
}