X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;f=plugins%2Frange-selector.js;h=fe32b1a26276bb04a24cf4bae4a5b94a23c6966e;hb=df75aef5d3eb2056253841c2522e61ecf5dc53a2;hp=d226ebafd05c4f8d64ac0bd620d089005eca89cb;hpb=db6a9f5a2c20a8ca30656b8c6dfc929d137edef4;p=dygraphs.git

diff --git a/plugins/range-selector.js b/plugins/range-selector.js
index d226eba..fe32b1a 100644
--- a/plugins/range-selector.js
+++ b/plugins/range-selector.js
@@ -268,7 +268,7 @@ rangeSelector.prototype.createZoomHandles_ = function() {
  */
 rangeSelector.prototype.initInteraction_ = function() {
   var self = this;
-  var topElem = this.isIE_ ? document : window;
+  var topElem = document;
   var clientXLast = 0;
   var handle = null;
   var isZooming = false;
@@ -648,14 +648,13 @@ rangeSelector.prototype.computeCombinedSeriesAndLimits_ = function() {
   var logscale = this.getOption_('logscale');
 
   // Create a combined series (average of all series values).
-  var i, j;
-  var xVal, yVal;
+  var i;
 
   // TODO(danvk): short-circuit if there's only one series.
   var rolledSeries = [];
   var dataHandler = g.dataHandler_;
   var options = g.attributes_;
-  for (var i = 1; i < g.numColumns(); i++) {
+  for (i = 1; i < g.numColumns(); i++) {
     var series = dataHandler.extractSeries(g.rawData_, i, options);
     if (g.rollPeriod() > 1) {
       series = dataHandler.rollingAverage(series, g.rollPeriod(), options);
@@ -668,7 +667,7 @@ rangeSelector.prototype.computeCombinedSeriesAndLimits_ = function() {
   for (i = 0; i < rolledSeries[0].length; i++) {
     var sum = 0;
     var count = 0;
-    for (j = 0; j < rolledSeries.length; j++) {
+    for (var j = 0; j < rolledSeries.length; j++) {
       var y = rolledSeries[j][i][1];
       if (y === null || isNaN(y)) continue;
       count++;
@@ -681,7 +680,7 @@ rangeSelector.prototype.computeCombinedSeriesAndLimits_ = function() {
   var yMin = Number.MAX_VALUE;
   var yMax = -Number.MAX_VALUE;
   for (i = 0; i < combinedSeries.length; i++) {
-    yVal = combinedSeries[i][1];
+    var yVal = combinedSeries[i][1];
     if (yVal !== null && isFinite(yVal) && (!logscale || yVal > 0)) {
       yMin = Math.min(yMin, yVal);
       yMax = Math.max(yMax, yVal);