Applying a non-linear data pattern to a measure

gistfile1.txt

establishCurve = function(curveArray,sumTotal,inverse){
	if(inverse){
		var maxVal = Math.max.apply(Math, curveArray);
		var minVal = Math.min.apply(Math, curveArray);
		curveArray = curveArray.map(function (x) {
			return (maxVal-x)+minVal;
		});
	}
	var curveTotal = curveArray.reduce(function(a, b) {
		return a + b;
	});
	var data = [];
	var sum = 0;
	for(var i = 0; i< curveArray.length; i++){
		var perc = curveArray[i]/curveTotal;
		data.push(sumTotal*perc);
		sum += sumTotal*perc;
	}
	return data;
}

//example curve
//monthly sample data applied to actual total population:
console.log(establishCurve([9,9,12,17,22,27,29,29,25,20,15,10], 50000000, false));

//The curve can be inverted with the last parameter:
console.log(establishCurve([9,9,12,17,22,27,29,29,25,20,15,10], 50000000, true));