included @bluesmoon stackd/gauss@1ed40bd and package restructuring

README.md

@@ -42,7 +42,7 @@ You can then invoke the tests with either `node` or `vows`:
 *Run tests and view specification (verbose)*
 
     $ vows test/* --spec
-    
+
 ##API
 
 For now Gauss only has methods for univariate analysis. We're constantly working on adding more functions, adding multivariate statistics, and we encourage additions to the library. Accuracy is a primary concern. If Gauss is returning incorrect results, [please submit an issue](https://github.com/stackd/gauss/issues) and/or [submit a patch](https://github.com/stackd/gauss#fork_box)!
@@ -52,7 +52,7 @@ For now Gauss only has methods for univariate analysis. We're constantly working
 Conventional:
 
     var gauss = require('gauss');
-    var set = new guass.Vector(5, 1, 3, 2, 21);
+    var set = new gauss.Vector(5, 1, 3, 2, 21);
 
 Monkey patch:
 
@@ -103,11 +103,11 @@ Returns the difference between the largest and smallest value in a data set.
 
 **.mean(callback)**
 
-Returns the average.
+Returns the arithmetic mean.
 
 **.median(callback)**
 
-Returns the median. If there are an even amount of numbers in the data set, returns the average of the two middle values.
+Returns the median. If there are an even amount of numbers in the data set, returns the arithmetic mean of the two middle values.
 
 **.mode(callback)**
 

index.js

@@ -1 +1 @@
-module.exports = require('./lib/vector');
+module.exports = require('./lib/gauss');

lib/gauss.js

@@ -0,0 +1,21 @@
+/**
+ * Gauss
+ * Copyright(c) 2011 Fredrick Galoso
+ * LICENSE: MIT/X11
+ */
+
+var Vector = require('./vector'),
+    TimeSeries = require('./timeseries');
+
+/**
+ * Library version
+ */
+
+exports.version = '0.2';
+
+/**
+ * Expose constructors
+ */
+
+exports.Vector = Vector;
+exports.TimeSeries = TimeSeries;

lib/vector.js

@@ -144,7 +144,7 @@ Array.prototype.percentile = function(percent, callback) {
     buffer.sort(this.asc);
     var percentile = buffer[0];
     if (percent > 0)
-        percentile = buffer[this.length * percent - 1];
+        percentile = buffer[Math.ceil(this.length * percent) - 1];
     if (callback)
         return callback(percentile);
     else
@@ -232,4 +232,4 @@ Array.prototype.min = function(callback) {
         return min;
 };
 
-exports.Vector = Array;
+exports = module.exports = Array;

test/vector.test.js

@@ -10,7 +10,7 @@ var vows = require('vows'),
  * the Array type with some of gauss's goodies.
  */
 
-Array = require('../lib/vector').Vector;
+Array = require('../lib/gauss').Vector;
 
 var set = [10, 82, 67, 17, 36, 3, 1, 61, 33, 20,
 18, 35, 15, 39, 52, 85, 17, 92, 88, 70,
@@ -43,7 +43,7 @@ vows.describe('Vector').addBatch({
             assert.equal(topic, 2697);
         }
     },
-    'Mean': {
+    'Arithmetic Mean': {
         topic: set.mean(),
         '53.94': function(topic) {
             assert.equal(topic, 53.94);