stats-lite - npm Package Compare versions

Comparing version 2.0.0 to 2.0.1

package.json

 {
   "name": "stats-lite",
-  "version": "2.0.0",
+  "version": "2.0.1",
   "description": "A light statistical package that operates on numeric Arrays.",
@@ -5,0 +5,0 @@ "main": "stats.js",

README.md

@@ -97,3 +97,3 @@ stats-lite
 
-Calculate the value reprecenting the desired [percentile](http://en.wikipedia.org/wiki/Percentile) `(0 < ptile <= 1)`. Uses the Estimation method to interpolate non-member percentiles.
+Calculate the value representing the desired [percentile](http://en.wikipedia.org/wiki/Percentile) `(0 < ptile <= 1)`. Uses the Estimation method to interpolate non-member percentiles.
 
@@ -100,0 +100,0 @@ LICENSE

stats.js

@@ -15,7 +15,7 @@ "use strict";
 function numbers(vals) {
-  let nums = []
+  var nums = []
   if (vals == null)
     return nums
 
-  for (let i = 0; i < vals.length; i++) {
+  for (var i = 0; i < vals.length; i++) {
     if (isNumber(vals[i]))
@@ -33,4 +33,4 @@ nums.push(+vals[i])
   vals = numbers(vals)
-  let total = 0
-  for (let i = 0; i < vals.length; i++) {
+  var total = 0
+  for (var i = 0; i < vals.length; i++) {
     total += vals[i]
@@ -51,3 +51,3 @@ }
 
-  let half = (vals.length / 2) | 0
+  var half = (vals.length / 2) | 0
 
@@ -70,8 +70,8 @@ vals = nsort(vals)
   if (vals.length === 0) return NaN
-  let mode = NaN
-  let dist = {}
+  var mode = NaN
+  var dist = {}
 
-  for (let i = 0; i < vals.length; i++) {
-    let value = vals[i]
-    let me = dist[value] || 0
+  for (var i = 0; i < vals.length; i++) {
+    var value = vals[i]
+    var me = dist[value] || 0
     me++
@@ -81,3 +81,3 @@ dist[value] = me
 
-  let rank = numbers(Object.keys(dist).sort(function sortMembers(a, b) { return dist[b] - dist[a] }))
+  var rank = numbers(Object.keys(dist).sort(function sortMembers(a, b) { return dist[b] - dist[a] }))
   mode = rank[0]
@@ -90,5 +90,5 @@ if (dist[rank[1]] == dist[mode]) {
     }
-    let modes = new Set([mode])
-    let modeCount = dist[mode]
-    for (let i = 1; i < rank.length; i++) {
+    var modes = new Set([mode])
+    var modeCount = dist[mode]
+    for (var i = 1; i < rank.length; i++) {
       if (dist[rank[i]] == modeCount) {
@@ -109,5 +109,5 @@ modes.add(rank[i])
   vals = numbers(vals)
-  let avg = mean(vals)
-  let diffs = []
-  for (let i = 0; i < vals.length; i++) {
+  var avg = mean(vals)
+  var diffs = []
+  for (var i = 0; i < vals.length; i++) {
     diffs.push(Math.pow((vals[i] - avg), 2))
@@ -130,8 +130,8 @@ }
   vals = nsort(vals)
-  let i = (vals.length * ptile) - 0.5
+  var i = (vals.length * ptile) - 0.5
   if ((i | 0) === i) return vals[i]
   // interpolated percentile -- using Estimation method
-  let int_part = i | 0
-  let fract = i - int_part
-  return (1 - fract) * vals[int_part] + fract * vals[int_part + 1]
+  var int_part = i | 0
+  var fract = i - int_part
+  return (1 - fract) * vals[int_part] + fract * vals[Math.min(int_part + 1, vals.length - 1)]
 }

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Total package byte prevSize

7658

increased by0.35%

No dependency changes