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	<title>jQuery Grid Plugin - jqGrid - Topic: Bug in averaging function for footers?</title>
	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers</link>
	<description><![CDATA[Grid plugin]]></description>
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	<atom:link href="http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers/rss" rel="self" type="application/rss+xml" />
        <item>
        	<title>joec2000 on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29628</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29628</guid>
        	        	<description><![CDATA[<p>Yeah, that&#39;s why I was saying I think it could go either way.</p>
<p>As long as everything else works OK, the programmer can always "tweak" the values of the cells to get the grid to behave the way they want.</p>
<p>Thanks for fixing it so quickly!</p>
<p>- Joe</p>
]]></description>
        	        	<pubDate>Mon, 07 Oct 2013 15:54:33 +0300</pubDate>
        </item>
        <item>
        	<title>tony on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29613</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29613</guid>
        	        	<description><![CDATA[<p>Hello,</p>
<p>Thanks for the opinion.</p>
<p>Especially for the count I do not agree. Suppose we want to count string, then it is very natural to count all one.</p>
<p>I Have fixed this in git hub.</p>
</p>
<p>Regards</p></p>
]]></description>
        	        	<pubDate>Sun, 06 Oct 2013 11:07:31 +0300</pubDate>
        </item>
        <item>
        	<title>joec2000 on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29607</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29607</guid>
        	        	<description><![CDATA[<p>Hi Tony,</p>
</p>
<p>Actually, after I posted my solution, I realized I wrote a custom formatter for percentages that was inserting the single space. Can&#39;t remember why exactly as it seemed to perform the same way when I took the single space out. Maybe it was a typo on my part.</p>
</p>
<p>I would think that if the cell value is null or, when the white space is trimmed, equals empty string, then the cell&#39;s value should not count towards the average.</p>
</p>
<p>At the very least, I think that null and empty string should not count - I think you could make a case either way about the trimming of whitespace.</p>
</p>
<p>Thanks!</p>
</p>
<p>- Joe</p>
]]></description>
        	        	<pubDate>Fri, 04 Oct 2013 15:51:00 +0300</pubDate>
        </item>
        <item>
        	<title>tony on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29606</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29606</guid>
        	        	<description><![CDATA[<p>Hello,</p>
</p>
<p>Thank you very much. Yes, I confirm this is a bug in getCol method.</p>
<p>We do not consider in avg the first row which should be excluded.</p>
<p>About the case if the cell value is " " I think that in this case we should interpret it as 0.</p>
<p>What do you think about this?</p>
</p>
<p>Regards</p>
<p>Tony</p>
]]></description>
        	        	<pubDate>Fri, 04 Oct 2013 11:21:45 +0300</pubDate>
        </item>
        <item>
        	<title>joec2000 on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29602</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29602</guid>
        	        	<description><![CDATA[<p>For anyone else that is having these problems, here&#39;s a revised "if" block with only a few minor changes.</p>
</p>
<p>NOTE: I did <strong>NOT</strong> thoroughly test this yet but it solved the problems I was encountering.</p>
</p>
<p>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; var ln = $t.rows.length, i = 0, den = 0;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if (ln &#38;&#38; ln &#62; 0)<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; while (i &#60; ln)<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if ($($t.rows[i]).hasClass(&#39;jqgrow&#39;))<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; try<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; val = $.unformat.call($t, $($t.rows[i].cells[pos]), { rowId: $t.rows[i].id, colModel: $t.p.colModel[pos] }, pos);<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; } catch (e)<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; val = $.jgrid.htmlDecode($t.rows[i].cells[pos].innerHTML);<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if (mathopr)<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; v = parseFloat(val);<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if (!isNaN(v))<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; sum += v;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if (max === undefined) { max = min = v; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; min = Math.min(min, v);<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; max = Math.max(max, v);<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; den++;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; else if (obj) { ret.push({ id: $t.rows[i].id, value: val }); }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; else { ret.push(val); }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; i++;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; if (mathopr)<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; switch (mathopr.toLowerCase())<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; {<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; case &#39;sum&#39;: ret = sum; break;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; case &#39;avg&#39;: ret = sum / den; break;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; case &#39;count&#39;: ret = ln; break;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; case &#39;min&#39;: ret = min; break;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; case &#39;max&#39;: ret = max; break;<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }<br />&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; }</p>
]]></description>
        	        	<pubDate>Thu, 03 Oct 2013 22:43:33 +0300</pubDate>
        </item>
        <item>
        	<title>joec2000 on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29601</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29601</guid>
        	        	<description><![CDATA[<p>Just found another problem with the averaging function. Same 30 rows, different column containing percentages. 7 of the 30 cells in this column are blank (see screenshot below where "v" is " " - presumably not truly blank so the browser styles the cell correctly). Because of the " " is not a number and fails parseFloat(), JQGrid calculates the average as "NaN".</p>
<p><a 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"><img 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" 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]]></description>
        	        	<pubDate>Thu, 03 Oct 2013 21:48:05 +0300</pubDate>
        </item>
        <item>
        	<title>joec2000 on Bug in averaging function for footers?</title>
        	<link>http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29600</link>
        	<category>Bugs</category>
        	<guid isPermaLink="true">http://www.trirand.com/blog/?page_id=393/bugs/bug-in-averaging-function-for-footers#p29600</guid>
        	        	<description><![CDATA[<p>See screenshot below. Data set sums to 24.12999, for 30 rows. Excel calculates average to be 0.80433. JQGrid calculates average to be 0.78 (rounded up from 0.778387). See snippet of JQGrid source code below where JQGrid is dividing 24.12999 by 31 instead of 30.</p>
</p>
<p><a 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"><img 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" 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        	        	<pubDate>Thu, 03 Oct 2013 21:25:17 +0300</pubDate>
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