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	<title>Matthias Templ</title>
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	<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl</link>
	<description>Matthias Templ&#039;s old website</description>
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		<title>foreach. Slow?</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=59</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=59#comments</comments>
		<pubDate>Sat, 22 Jan 2011 20:08:03 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Software]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=59</guid>
		<description><![CDATA[Parallelisation on 100 additional knodes is necessary that foreach competites with a usual (very slowly) for() loop.
(recall what this means in respect to polluting our environment by higher energy consumption&#8230;)
system.time(x ]]></description>
			<content:encoded><![CDATA[<p>Parallelisation on 100 additional knodes is necessary that foreach competites with a usual (very slowly) for() loop.<br />
(recall what this means in respect to polluting our environment by higher energy consumption&#8230;)</p>
<p>system.time(x <- foreach(b = bvec, .combine = &#8220;cbind&#8221;) %:%<br />
foreach(a = avec, .combine = &#8220;c&#8221;) %dopar% {sim(a, b)})</p>
<p>After having a deeper look at the example it turns out the computation time increases linear with complexity of this problem (just as the for loop). Profiling shows that most of the time is wasted by the $ operator which is used internally by foreeach (second which()).</p>
<p>I wonder who can give an example where foreach works fine with respect to computation time?</p>
<p>Matthias</p>
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		<title>Rd to tex</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=56</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=56#comments</comments>
		<pubDate>Sat, 22 Jan 2011 20:05:59 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Software]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=56</guid>
		<description><![CDATA[To convert Rd file to tex files just write in the console:
R CMD Rdconv –type=latex –output=filename.tex filename.Rd
]]></description>
			<content:encoded><![CDATA[<p>To convert Rd file to tex files just write in the console:<br />
R CMD Rdconv –type=latex –output=filename.tex filename.Rd</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Contributing to Social Inclusion Measurement</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=54</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=54#comments</comments>
		<pubDate>Sat, 22 Jan 2011 20:05:02 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Lectures]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=54</guid>
		<description><![CDATA[During our AMELI-project (see PROJECTS) we evaluate methods for poverty measurement using the European Statistics on Income and Living Conditions Survey (EU-SILC). 
Semiar works, practicas and diploma thesis can be done during this projects in the topics: statistical simulation, visualisation of indicators, robust methods for social inclusion indicators and survey methodology.
]]></description>
			<content:encoded><![CDATA[<p>During our AMELI-project (see PROJECTS) we evaluate methods for poverty measurement using the European Statistics on Income and Living Conditions Survey (EU-SILC). </p>
<p>Semiar works, practicas and diploma thesis can be done during this projects in the topics: statistical simulation, visualisation of indicators, robust methods for social inclusion indicators and survey methodology.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>International Conference on Indicators and Survey Methodology</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=50</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=50#comments</comments>
		<pubDate>Sat, 22 Jan 2011 20:01:45 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Misc]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=50</guid>
		<description><![CDATA[Held at the Vienna University of Technolgy from February 24 – 26, 2010. Details can be found ]]></description>
			<content:encoded><![CDATA[<p>Held at the Vienna University of Technolgy from February 24 – 26, 2010. Details can be found <a href="http://www.statistik.tuwien.ac.at/ameli> HERE </a>.</p>
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		<title>International Workshop on Exploratory Data Analysis and Visualization (EDAVIS 2010)</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=47</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=47#comments</comments>
		<pubDate>Sat, 22 Jan 2011 20:00:25 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Misc]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=47</guid>
		<description><![CDATA[Held at Statistics Austria from May 27 – 28, 2010. Details can be found  HERE .
]]></description>
			<content:encoded><![CDATA[<p>Held at Statistics Austria from May 27 – 28, 2010. Details can be found <a href="http://www.statistik.tuwien.ac.at/edavis"> HERE </a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>data-analysis OG</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=44</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=44#comments</comments>
		<pubDate>Sat, 22 Jan 2011 19:57:10 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Misc]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=44</guid>
		<description><![CDATA[Visit:  www.data-analysis.at  – data-analysis OG for consulting and coaching. We are the experts which helps you to visualize and analyze your data to support your decisions in your company.
]]></description>
			<content:encoded><![CDATA[<p>Visit: <a href="http://www.data-analysis.at"> www.data-analysis.at </a> – data-analysis OG for consulting and coaching. We are the experts which helps you to visualize and analyze your data to support your decisions in your company.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>About Me</title>
		<link>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=1</link>
		<comments>http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=1#comments</comments>
		<pubDate>Sat, 22 Jan 2011 18:46:49 +0000</pubDate>
		<dc:creator>Matthias Templ</dc:creator>
				<category><![CDATA[Lectures]]></category>

		<guid isPermaLink="false">http://www.statistik.tuwien.ac.at/public/templ/mtempl/?p=1</guid>
		<description><![CDATA[Matthias Templ is senior researcher and lecturer at the Vienna University of Technology, researcher at the methods unit in Statistics Austria. He is founder and owner (together with Alexander Kowarik and Bernhard Meindl) of data-analysis OG , a company for professional coaching in data analysis and statistics and consulting.
  His research interests includes Computational [...]]]></description>
			<content:encoded><![CDATA[<p>Matthias Templ is senior researcher and lecturer at the Vienna University of Technology, researcher at the methods unit in Statistics Austria. He is founder and owner (together with Alexander Kowarik and Bernhard Meindl) of <a href="http://www.data-analysis.at">data-analysis OG </a>, a company for professional coaching in data analysis and statistics and consulting.</p>
<p> <IMG BORDER="0" ALIGN="Right" SRC="http://www.statistik.tuwien.ac.at/public/templ/Matthias_Templ.jpeg" width=200 height=200> His research interests includes Computational Statistics, Multivariate Statistics using robust methods, Explanatory Data Analysis and Visualization, Analysis of Compositional Data and Official Statistics.</p>
<p>He gave more than 100 scientific contributions in the last few years and developed various popular software solutions in R available at the comprehensive R archive network.</p>
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