public void Plot(float?newMinX = null, float?newMaxX = null, float?newMinY = null, float?newMaxY = null)
{
if (newMinX != null)
{
minX = (float)newMinX;
}
if (newMaxX != null)
{
maxX = (float)newMaxX * 1.02f;
}
if (newMinY != null)
{
minY = (float)newMinY;
}
if (newMaxY != null)
{
maxY = (float)newMaxY;
}
//Debug.Log("Range: " + minX + " to " + maxX);
float intervalX = (maxX - minX) / pointNum;
//Debug.Log("Best Fit Line Interval: " + intervalX);
string yExpression = ExpressionForY(rounded: false);
// exception for y = infinity.
if (yExpression == "")
{
dataSeries.seriesName = "\ty = undefined";
return;
}
// get data series legend to show r, to save space
dataSeries.seriesName = "\tr = " + PearsonsPMCC(rounded: true);
lineSeries.seriesName = "\ty = " + ExpressionForY(rounded: true);
lineSeries.pointValues.Clear();
string formattedEquationStr = EnsureDelimiterAroundOperatorsAndParentheses(yExpression);
List <string> rpnString = WMG_Util.ShuntingYardAlgorithm(formattedEquationStr);
for (float i = minX; i <= (maxX + Mathf.Epsilon); i += intervalX)
{
i = Mathf.Round(i * decimalsMultiplier) / decimalsMultiplier;
Vector2 expResult = WMG_Util.ExpressionEvaluator(rpnString, i);
if (!float.IsNaN(expResult.y) && (minY <= expResult.y) && (expResult.y <= maxY))
{
lineSeries.pointValues.Add(expResult);
}
}
//Debug.Log("y = " + ExpressionForY(rounded:true));
}
public void OnPlot()
{
series.seriesName = equationStr;
series.pointValues.Clear();
string formattedEquationStr = ensureDelimiterAroundOperatorsAndParentheses(equationStr);
List <string> rpnString = WMG_Util.ShuntingYardAlgorithm(formattedEquationStr);
for (float i = minX; i <= (maxX + Mathf.Epsilon); i += intervalX)
{
i = Mathf.Round(i * decimalsMultiplier) / decimalsMultiplier;
Vector2 expResult = WMG_Util.ExpressionEvaluator(rpnString, i);
if (!float.IsNaN(expResult.y))
{
series.pointValues.Add(expResult);
}
}
}
