Skip to content

Instantly share code, notes, and snippets.

@kohske

kohske/index.Rmd

Created January 17, 2014 08:49
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save kohske/8470271 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save kohske/8470271 to your computer and use it in GitHub Desktop.
Download ZIP
slidify-minimal
Raw
index.html
<!DOCTYPE html>
<html>
<head>
<title>はじめてのslidify</title>
<meta charset="utf-8">
<meta name="description" content="はじめてのslidify">
<meta name="author" content="@kohske">
<meta name="generator" content="slidify" />
<meta name="apple-mobile-web-app-capable" content="yes">
<meta http-equiv="X-UA-Compatible" content="chrome=1">
<link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/io2012/css/default.css" media="all" >
<link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/io2012/css/phone.css"
media="only screen and (max-device-width: 480px)" >
<link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/io2012/css/slidify.css" >
<link rel="stylesheet" href="http://slidifylibraries2.googlecode.com/git/inst/libraries/highlighters/highlight.js/css/tomorrow.css" />
<base target="_blank"> <!-- This amazingness opens all links in a new tab. --> <link rel=stylesheet href="./assets/css/ribbons.css"></link>
<!-- Grab CDN jQuery, fall back to local if offline -->
<script src="http://ajax.aspnetcdn.com/ajax/jQuery/jquery-1.7.min.js"></script>
<script>window.jQuery || document.write('<script src="http://slidifylibraries2.googlecode.com/git/inst/libraries/widgets/quiz/js/jquery.js"><\/script>')</script>
<script data-main="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/io2012/js/slides"
src="http://slidifylibraries2.googlecode.com/git/inst/libraries/frameworks/io2012/js/require-1.0.8.min.js">
</script>
</head>
<body style="opacity: 0">
<slides class="layout-widescreen">
<!-- LOGO SLIDE -->
<slide class="title-slide segue nobackground">
<hgroup class="auto-fadein">
<h1>はじめてのslidify</h1>
<h2>マークダウンで楽々HTML5スライド作成</h2>
<p>@kohske<br/></p>
</hgroup>
<article></article>
</slide>
<!-- SLIDES -->
<slide class="" id="slide-1" style="background:;">
<hgroup>
<h2>平均とは</h2>
</hgroup>
<article data-timings="">
<ul>
<li>\(\frac{1}{n}\sum_{i}x_i\) ということです。</li>
<li>例えば1から10までの平均は5.5です。</li>
</ul>
<h3>乱数の生成</h3>
<p>10000個の正規乱数を生成して平均値を求めます。</p>
<pre><code class="r">set.seed(42)
x &lt;- rnorm(10000)
mean(x)
</code></pre>
<pre><code>## [1] -0.01131
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-2" style="background:;">
<hgroup>
<h2>ヒストグラム</h2>
</hgroup>
<article data-timings="">
<p>正規乱数をヒストグラムとカーブフィッティングにより可視化します。</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAtAAAAH4CAYAAABjQNpaAAAC0WlDQ1BJQ0MgUHJvZmlsZQAAKJGNlM9LFGEYx7+zjRgoQWBme4ihQ0ioTBZlROWuv9i0bVl/lBLE7Oy7u5Ozs9PM7JoiEV46ZtE9Kg8e+gM8eOiUl8LALALpblFEgpeS7Xlnxt0R7ccLM/N5nx/f53nf4X2BGlkxTT0kAXnDsZJ9Uen66JhU+xEhHEEdwqhTVNuMJBIDoMFjsWtsvofAvyute/v/OurStpoHhP1A6Eea2Sqw7xfZC1lqBBC5XsOEYzrE9zhbnv0x55TH8659KNlFvEh8QDUtHv+auEPNKWmgRiRuyQZiUgHO60XV7+cgPfXMGB6k73Hq6S6ze3wWZtJKdz9xG/HnNOvu4ZrE8xmtN0bcTM9axuod9lg4oTmxIY9DI4YeH/C5yUjFr/qaoulEk9v6dmmwZ9t+S7mcIA4TJ8cL/TymkXI7p3JD1zwW9KlcV9znd1Yxyeseo5g5U3f/F/UWeoVR6GDQYNDbgIQk+hBFK0xYKCBDHo0iNLIyN8YitjG+Z6SORIAl8q9TzrqbcxtFyuZZI4jGMdNSUZDkD/JXeVV+Ks/JX2bDxeaqZ8a6qanLD76TLq+8ret7/Z48fZXqRsirI0vWfGVNdqDTQHcZYzZcVeI12P34ZmCVLFCpFSlXadytVHJ9Nr0jgWp/2j2KXZpebKrWWhUXbqzUL03v2KvCrlWxyqp2zqtxwXwmHhVPijGxQzwHSbwkdooXxW6anRcHKhnDpKJhwlWyoVCWgUnymjv+mRcL76y5o6GPGczSVImf/4RVyGg6CxzRf7j/c/B7xaOxIvDCBg6frto2ku4dIjQuV23OFeDCN7oP3lZtzXQeDj0BFs6oRavkSwvCG4pmdxw+6SqYk5aWzTlSuyyflSJ0JTEpZqhtLZKi65LrsiWL2cwqsXQb7Mypdk+lnnal5lO5vEHnr/YRsPWwXP75rFzeek49rAEv9d/AvP1FThgxSQAAIABJREFUeJzs3XeY5WV9///ni13ApYMiINIUpIhIRwQFjWIimthTbDFGg0YvQ0xiicHyM6aYxORni7EkaiSxBGMUxS4oIGXpoCiKggiCgiB1YXl///iclWGd3Z0zc87cpzwf1zXX7M455zMvdHfnNfe8P/edqkKSJEnS3KzXOoAkSZI0TizQkiRJUh8s0JIkSVIfLNCSJElSH5a2DiBJLSXZF9gRuKSqLpvx8QcDDwWurKpzk2wDHAJcXVVn9XH99arq7kHnHmVJdgEeBxRwclV9t3EkSRooV6AlTbuXAZ8CnrHax5/S+/grer8/qPf7V8/louk8B/jogHKOhSQ7AecA/wa8F/i1tokkafBcgZakufku8Bbgojk+/wDgw8DpQ0s0mg4GtgC+DPwucEvbOJI0eBZoSZqbu4CbgNtWfSDJQcBT6QrjeXTjCpcm2RT4/d7Ttk/yKuDdVXVT77EnAIcBNwKfraozZ36iJHsBzwaWAP8NPJBunOSDwPXAscCPge8DzwROqqqTkjwQeCxdib0W+GZVfWFG1scCJwI7AUcBPwDeA9wXeAGwMfA/q+dZLdsa8yc5jK40AywD/gB422qvfxL3jMYc3/vYC4H79f73++aaPrckjYp4kIqkaZbkfcAL6cYNjp/x0LOAlwAfrKrf7xW/TwMnVNXTk+wDnA/cClwB7EZXsg+kK5ZXrPapdu59/MvA/jM+fjfwuqr6m16ew4Ev0BXQ2+nmiK8EHkJXjL8F/AK4GtgU2AT4a+Afe49tA/ycrtQDvLSq3p3kT3vPuQDYE1gJ3Af4Ri/7psBGdN8gHFJVF87yv9WqleVZ8yd5PfCG1V62WVX9YsY1dqcb8VgGPBrYDvhY77/x4VV1w+qfV5JGjTPQktR5EfDVGW8vWcfzX957/3tVtSfdTXPvAbamWx1+Uu/x5XQryD8C3kFXPj9Btwr8FOBm4M1JVpXSv6Mrl39HV4KPoSvPq9sOeD9wBPCvwL7AN4HnV9WWwHN6z3vyaq/bAngAsHvv94cD7wQ2Bz7Z+9xrmlteV/5/AP6s99z305X5m2deoKoupVtBD/AB4F10Jfw5lmdJ48IRDknqfAn4+ozfP5JuVGFNvt97/79JvgN8EfhEVX0NIMm1vcdXVNVVSUI3NgHwxqq6ArgiyYl0Yw9PTHIu3ew0wLuq6o4kHwbeCtx/lgzHVdVNvV//KMmpwBFJ3jzjc2282mu+XFU/7WW8ja4wH19VdyU5m24kZdvVP9Fc8lfVOUlWrTbfVlXXrn4dgKr6tyS/QVfAAf66qk6Z7bmSNIpcgZakzper6k2r3ugK8dr8HfAa4DK6FeI/Br6a5C/W8PwN6FZ/VwKXz/j4qq3z7gusTzeycTfdvDXVzdldP8v1bplRnlfNOF8FnEQ3GnFe76HVt9CbWWpv773/Se/9rWvIPtf8/Th7xq9/3OdrJakpC7Qkzc9+dHO7+9GNM7yy9/FVox8re++XAFTVHXSldgn3rOQCPLH3/sKqWgGcQvdv8+PhlzPDe8zy+Ves9vu/orsR73eq6tHce557ptlufFm9ZOdXXjSH/Gv4fL+it/f2cXTjHSuBtyaZ7b9RkkaSBVqS5uc5wH/SbVV3EN1MMsAPe+9XjTLsnuTvk2xHd6MiwIeSvCvJaXQjG9/hnsL7f733H0nyObob7lYvy/Crpfeq3vvfSvJM4J96v9+s7/+yNZtL/rVKch/gI3Qr2sfS3di4EfCfSdYfYFZJGhoLtCTNz2uAf6fbdeMTdDfPnUy3HRx0ow1fp7s570+BHavqvcCLgevoVqoPodtx46iquh2gqt4JvJFul409gdcCq04+/OUWerN4G3Aq8Ht0pf4zvc+zZ2/ruQWbS/45+FtgL+ALVfU+4PXApXRF/A2DyClJw+Y2dpK0QEl2AH4+c7u2GY89EPhZVd222se3BX5RVbes9vFn060un15VP+h97Nt0u2Zsta6dKpLcv5dltlXrgVlTfkmaBu7CIUkLVFVXruWxH63h49es4SXb0m0H94MkH6ebf94dOHcu27ytaeeLQVtLfkmaeAtage7Nsm0w805wSdL8JdkYeDtwNN2e0tfTHQf+p1X13ZbZJEmdhRboZwOPqao/HFwkSRJAkvWqavWbBSVJjc25QCf5Lt0WSTNtQDcGcivwv1X1gl95oSRJkjRB+inQh9Mdu/qfwAd7H34KcCjwKrpN/X86jJCSJEnSqJjzNnZV9Q267Zp2pdtf9Bbgp8DNVfVDy7MkSZKmQV+7cPRuFnxekmfRnZZ1BvectiVJkiRNvHkdpFJVH6M7yvV+gFsZSZIkaWoM5CCVJLsDG1XVuXN47kF0+5rOZmtgeVWdvOBQkiRJ0hAM6ijvZwIv7eNzLl3D257AwQPKJEkTL8myJI9OsmvrLJI0LUbqKO8kzweoqg+u67mSNK2S7AYc1HvbHTgH2BHYFDhr1VtV/bxZSEmaYPM6yjvJUmDTuRwrK0lauCQb0W0Z+nDgRrqS/N/AeVV1R+8596f7Kd7hwCuSXA2cUFWfa5NakibTnAt0kg2ANwDPBbbvPpRbgcuBf6yqfx9KQkmackkeAPwt8BXgHVV13WzPq6prgc8An0myHt1Y3KuTPBh4l6caStJg9DMD/XbgocDRwGa91z4AeBFwTJKXDD6eJE23JPsB7wQ+WlX/sabyvLqquruqLgaOoRvv+PskmwwxqiRNjX4K9FHAH1XVBVV1c3VurKrTgVfQnUooSRqQJE8F/gp4fVWdOJ9rVNUtwKuB7wHvSbLjACNK0lTqp0BfBDxmDY89CZjTqogkae2SLEnyp8CTgZdW1QULuV5vNfrdwIeAf0nibkeStAD93ER4HHB8kmPpVjJuAjanm7FbCjxx8PEkaSr9M92/sX9cVbcN6qJV9fkkVwLnJ/n1qvryoK4tSdNkzgW6qs7tzeIdCuwMbEu36vxu4JQapf3wJGlMJfkb4M6q+sthXL+qLkmyE/C+JNdW1YXD+DySNMn62sauqm4HvjqkLJI01ZIcBewEvGCYn6eqfpzkOOC4JC+sqpuG+fkkadIM6iRCSdICJNkB+GPgtav2dR6mqjob+CLwmmF/LkmaNPM6SEWSBEkeBmw3gEstBV4OnAo8JMlD+nz9jVV1xjw+7/uB/z/Js6rqY/N4vSRNJQu0JM1Dkm2AE4APDOByhwFLgJXAAfN4/e8leV5VndvPi6pqZZI30m1vd0FVfXsen1uSpo4FWpLmZylwZlX9zUIukuQIYG/gD+e740aSTYH7zOe1VXVtkn8A3tCbh75lPteRpGniDLQkNZJkW+BY4A2D3K6uX1V1Kt34yF+0yiBJ48QCLUkNJFkCvAH4UFV9t3Ec6LYkfUCS32wdRJJGnQVaktr4PeAnVXVC6yAAVXUX8FrgD3rz3ZKkNbBAS9Ii680sPx14b+ssM1XVdcCJwPNaZ5GkUeZNhJK0+J4DnFxVPxrQ9dYHDkiybADXugp4Xu/I72vn8frlVXXjAHJI0siyQEvSIkpyf+A3gOcP8LKHAwcCWw7oelcBxwBf7vN1ewDPAF46oBySNJIs0JK0uF4InFBVNwzwmncDx1fVQEZCkiwFPgJ8sqou6uN1+zLYbwwkaSQ5Ay1JiyTJg4CDgI+2zrI2vRsK3we8pHUWSRpFFmhJWjzH0G1b12zP57mqqi8CGyY5vHUWSRo1FmhJWgS98YbtgU+3ztKH9wAvTuLXCkmawX8UJWlxvAT4t6pa2TrIXFXVWcB1wBNbZ5GkUWKBlqQhS/JYoKrq5NZZ5uFfgRck2bB1EEkaFRZoSRqi3pHdL6I7Knvs9I4ZPxd4VusskjQqLNCSNFxPBr5XVee3DrIA7wGekWSz1kEkaRRYoCVpuJ4FHN86xEL0jvg+FXhS6yySNAos0JI0JEkOBW6sqktaZxmATwBP7Y2kSNJUs0BL0vA8g654jr2q+j7wI+CI1lkkqTULtCQNQZJdgJ2ArzWOMkj/Azy9dQhJas0CLUnD8Qzgf8dp3+c5OBXYKskerYNIUksWaEkasCSbA49mvE4dXKeqKrpV6Ge0ziJJLVmgJWnwngycUlU3tg4yBJ8FDkly39ZBJKkVC7QkDVBvl4qnMCE3D66uqm4FvkD33yhJU8kCLUmDdSTww6q6vHWQIToBeHKSDVoHkaQWLNCSNFgTs3XdmlTVVcAlwONbZ5GkFizQkjQgSfYCNquq01tnWQRuaSdpalmgJWlwnkE33jDxqmo5kCT7tc4iSYvNAi1JA5DkfsBBdLtUTItP4JZ2kqaQBVqSBuO3gM9V1W2tgyyiLwJ7JtmudRBJWkwWaElaoCTrAUcDn2qdZTFV1Qq6Le2Obp1FkhaTBVqSFu5g4Me93SmmzUnAE5KkdRBJWiwWaElauCcAn28dooWq+gFwPbB/4yiStGgs0JK0AEk2oVuB/krrLA19nu6bCEmaChZoSVqYxwJnVNUtrYM09GXgkcCGrYNI0mKwQEvSwkzt+MYqVXUjcB5wQOsskrQYLNCSNH/LgO2As1oHGQEn0a1CS9LEs0BL0vxtB3yxqu5uHWQEnA5sD2zUOogkDZsFWpLm7wF0K69Tr6pWAmcCO7XOIknDZoGWpPnZG1hRVZe3DjJCTsMCLWkKWKAlaX6OBK5uHWLE/BC4O8nerYNI0jBZoCWpT0mWAQcC17TOMoJ+APx66xCSNEwWaEnq3xHAJcCdrYOMoB8CRybZoHUQSRoWC7Qk9e8JwNdahxhRd9B9c3F46yCSNCwWaEnqQ5JtgAcBy1tnGWEn4RiHpAlmgZak/hwFfAVY2TrICPsGsGeSrVoHkaRhsEBLUn+OAj7bOsQoq6oVwFeBx7XOIknDYIGWpDlKsiuwXlV9t3WWMfBV4LGtQ0jSMFigJWnujgBObh1iTJwPbNubGZekiWKBlqS5s0DPUVXdDZxCd+CMJE0UC7QkzUGSXYANqurS1lnGyMl033RI0kSxQEvS3ByJez/36zxg+yRbtw4iSYNkgZakuTkSC3Rfqmol3ZZ2rkJLmigWaElahyQ7Acuq6tuts4whxzgkTRwLtCSt25G4+jxfy4Gdkty3dRBJGhQLtCStm7tvzFNvjONUXIWWNEEs0JK0Fkl2ADatqotbZxljjnFImigWaElauyNx9XmhzgYelGSr1kEkaRAs0JK0do5vLFBV3QWcBjy6dRZJGgQLtCStQZLtga2q6sLWWSaAYxySJoYFWpLWzNXnwTkL2C3JFq2DSNJCWaAlac0s0ANSVXcCp+MYh6QJYIGWpFkk2Q7YGji/dZYJ4hiHpIlggZak2R0BfL2qqnWQCXImsHuSzVoHkaSFsEBL0uyOxNMHB6qqVtCV6Ee1ziJJC2GBlqTVJNkauH9Vnds6ywT6ChZoSWPOAi1Jv+pw4IzWISbU2cA+SZa1DiJJ82WBlqRfdSjdwR8asKq6HbgQOLh1FkmaLwu0JM3QWxndm27fYg3HaXTfpEjSWLJAS9K9HQxc2Fsp1XCcBhyaJK2DSNJ8WKAl6d4c3xiyqroOuJZupV+Sxo4FWpJ6eiuiFujF4RiHpLFlgZake+wNXNtbIdVwnQYc1jqEJM2HBVqS7uHq8yKpqkuBTZI8oHUWSeqXBVqS7nEYFujFdBrwyNYhJKlfFmhJApJsD2zcWxnV4rBASxpLFmhJ6jwSV58X23Jg9ySbtA4iSf2wQEtS55HA6a1DTJOqWgGch6cSShozFmhJU6+3Aro73YqoFpdjHJLGjgVakuAQ4JzeiqgW1+nAIUmWtA4iSXNlgZYkxzeaqarrgR8BD2udRZLmygItaar1Vj4PxgLdkmMcksaKBVrStNsHuLK3Eqo2PJVQ0lixQEuado5vNFZV3wPWT7Jj6yySNBcWaEnT7pHAqa1DiFNxjEPSmLBAS5paSXYCllTV91tnkWMcksbHggp0kiVJNhtUGElaZAfj6YOj4hxgF08llDQO5lygk6yf5DVJPpBk/yS/A/wE+HmSE5JsOLyYkjQUjwDOah1CUFUrgfPxVEJJY6CfFei3AkfSleaPAq8Hng7sBiwFnjLocJI0LEmWAXvRrXxqNJyBBVrSGFjax3OfCBxYVTcluQ24f1WdDJDkdcCb6Yq1JI2D/YGLq+qO1kH0S2cAL2gdQpLWpZ8V6O8De/R+/T7gQzMeexhw2aBCSdIiOISusGlEVNVPgF8k2a11Fklam34K9D8Bn0ryW1X146o6EyDJW4B/BD4wjICSNCQHY4EeRWfQfXMjSSNrzgW6qr4A7A6cudpDnwYeVFUXDTKYJA3LqgM7quqK1ln0KyzQkkZePzPQVNVNwE2rfcwTvCSNm0P41cUALdwy4DFJ3r6Aa6wHHJ1kfeDOBVxnBfC6qrptAdeQpFn1VaDXJMnuwEZVde4cnvsy4GlreHhb4DODyCRJa3EI8MnWISbQDkCA9yzwOhsA3wTOXsA1XgVsj/fnSBqCgRRo4JnATsCL1vXEqnoH8I7ZHkvy/AHlkaRZ9fasfyjwV62zTKi7FjrSl+REYPeFXCfJ7QvJIElrM68CnWQpsGlV3QBQVW8eaCpJGp79gUv80f5IOwN4XusQkrQm/ZxEuEGStyS5km627PoktyS5KIn7dkoaF84/j7iquhq4JcmurbNI0mz62cbu7XQ/9jwa2Kz32gfQjW0ck+Qlg48nSQPn/s/jwVMJJY2sfgr0UcAfVdUFVXVzdW7s7cLxCjzKW9KIS7IDsKSqftA6i9bpTNzOTtKI6qdAXwQ8Zg2PPQm4buFxJGmoXH0eH+cBuyXZuHUQSVpdPzcRHgccn+RY4Ht0+0FvDuzZu84TBx9PkgbqYOD/WofQulXViiQXAgcAp7TOI0kzzblAV9W5SfYDDgV2ptuz+Trg3cApVVVDSShJA5BkA+BhwOtbZ9GcrTqV0AItaaT0exLh7cBXh5RFkoZpf+Dbbl83Vs4Afrd1CElaXT8z0JI0zpx/HjNVdRWwIskurbNI0kwWaEnTwgI9ns4AHtE6hCTNNKijvCVpUSTZG3gTcG0fL9uYrkC/KsmgomwJ7DSoi2mNzgR+G/iv1kEkaRULtKRx83jg48A5fbzmccCPgP8YYI4dgPcN8Hqa3XLgr5Lcp3cfjiQ1Z4GWNG4KuLWqLp3rC5L8PnBSP6+ZwzU36WXREFXVnUkuBg4EvtE6jySBM9CSJlySpcA+dCuZGk9n0xVoSRoJFmhJk25v4IdVdXPrIJq3s4CDWoeQpFUs0JIm3UF0BUxjqqouB5Yl2bZ1FkkCC7SkyXcg3QiAxtuZdEexS1JzFmhJEyvJ5sD2wCWts2jBnIOWNDIs0JIm2QHAeVW1snUQLdjZwP5J/LolqTn/IZI0yZx/nhBV9XPgx8BerbNIkgVa0iSzQE8WxzgkjQQLtKSJlGQX4I6q+nHrLBoYt7OTNBIs0JImlbtvTJ4LgQcl2bh1EEnTzQItaVI5vjFhquou4Hy6m0MlqRkLtKSJk2R9uhMIz22dRQPnHLSk5izQkibRPsD3quqW1kE0cM5BS2rOAi1pEjn/PKGq6ofA0iTbt84iaXpZoCVNIuefJ5ur0JKaskBLmihJtgS2Ab7dOouGxjloSU1ZoCVNmgOBc6rq7tZBNDTLgX2TLGkdRNJ0skBLmjSOb0y4qroRuAqP9ZbUiAVa0qTxBsLp4By0pGYs0JImRpIHA7dU1TWts2jonIOW1IwFWtIkcfV5elwI7Jxkk9ZBJE0fC7SkSXIAcEbrEBq+qlpJd9Lk/q2zSJo+FmhJE6F3fPfDgAtaZ9GiWQ4c3DqEpOljgZY0KfYBLquqW1sH0aJZTvdTB0laVBZoSZPiALpCpSnRO9Z7/SQPaJ1F0nSxQEuaFN5AOJ3cjUPSorNASxp7STYHHgB8q3UWLToLtKRFZ4GWNAn2B87v7cyg6bIc2D9JWgeRND0s0JImgeMbU6qqbgB+AuzROouk6WGBljQJLNDTzTEOSYvKAi1prCV5IJCqurJ1FjXjdnaSFpUFWtK4c/VZ5wO7J7lP6yCSpoMFWtK4s0BPuaq6A/g28PDWWSRNBwu0pLGVZD1gXzxARc5BS1pEFmhJ42wP4JqqurF1EDVngZa0aCzQksaZ4xta5TvA/ZJs1TqIpMlngZY0zizQAqCqCjgHd+OQtAgs0JLGUpJlwG7ABa2zaGQ4xiFpUVigJY2rfYFLqmpF6yAaGRZoSYvCAi1pXB2Au29ohqq6Grgjyc6No0iacBZoSePK+WfNxlVoSUNngZY0jjYFtqyq77QOopHjsd6Shs4CLWkc7YrjG5rdcroTCdM6iKTJZYGWNI4ejAVas6iqm4ErgC1bZ5E0uSzQksbRg4GzWofQyDoDuF/rEJImlwVa0ri5L7Ciqq5tHUQj6xxg69YhJE0uC7SkcbMDcFnrEBppFwObABu1DiJpMlmgJY0bC7TWqqruAq4HHto6i6TJZIGWNDaSLAW2A77fOotG3nXA3q1DSJpMFmhJ42RvupXFO1oH0cj7KRZoSUNigZY0Tg4ArmwdQmPhZmBZkm1aB5E0eSzQksbJgVigNXcX4rHekobAAi1pLCTZBNgJuLp1Fo0NC7SkobBASxoX+wMXANU6iMbGxXR/biRpoCzQksbFgcDZrUNorNwA3JDkIa2DSJosFmhJ4+IAYHnrEBo7y+n+7EjSwFigJY28JNsCy6rq8tZZNHbOxjloSQNmgZY0Dhzf0HydB+yVZIPWQSRNDgu0pHHg+Ibmpapuozv6/WGts0iaHBZoSSMtSeh2UnAFWvPlGIekgbJASxp1DwGur6qftQ6iseWNhJIGygItadQ5vqGF+hawfZLNWgeRNBks0JJGnQVaC1JVK+luJnQVWtJAWKAljazezgl70ZUfaSGcg5Y0MBZoSaNsH+C7vZ0UpIVwDlrSwFigJY0y93/WQFTVFcCSJNu3ziJp/FmgJY0y5581SI5xSBoIC7SkkdTbMWGbqrq4dRZNjLPo9hSXpAWxQEsaVQcCF7QOoYmyHDggiV/7JC2I/4hIGlUH0a0YSgNRVTcCVwN7ts4iabxZoCWNKm8g1DCcRffNmSTNmwVa0shJshNwV1Vd1TqLJo7b2UlaMAu0pFHk6rOG5QJg1yQbtQ4iaXxZoCWNIgu0hqKq7gQuxN04JC2ABVrSSEmylO4EQvd/1rC4H7SkBbFASxo1ewM/rKqbWwfRxLJAS1oQC7SkUeP4hoaqqr4PbJRk29ZZJI0nC7SkUeP+z1oMrkJLmjcLtKSR0Tu++4HAJa2zaOK5H7SkebNASxolBwDnVdXK1kE08ZYD+ydJ6yCSxo8FWtIocf5Zi6KqrgeuBfZonUXS+LFASxolzj9rMTkHLWleLNCSRkKSHYG7q+pHrbNoaligJc2LBVrSqDgAD0/R4jofeEiSZa2DSBovAynQSZYk2XAQ15I0tRzf0KKqqhV0O77s2zqLpPEy5wKdZIckH0pyc5IvJtl1xsPPBD48+HiSpkGSJcDDcQVai8/t7CT1rZ8V6GOBq+nmxU4HTknykKGkkjRtHgpcWVW/aB1EU8c5aEl9W9rHc58I7FdVtwHHJbkE+HySw4cTTdIUcXxDTVTVZUk2S7J1VV3XOo+k8dDPCvQlzPguvar+G3g78DngvgPOJWm6eAOhWjoLOLh1CEnjo58C/a/Ax5O8atUHquqfgP8B3jboYJKmQ5JNgJ2BCxtH0fRaTvdNnCTNyZxHOKrqC0keDDxotY+/McnJwIMHHU7SVNgPj+9WW2cAx7QOIWl89DMDTVXdwuyrRFcDN87lGkmeAxy1hocfBHytn0ySxt4jcP5ZDVXVDUl+lmTPqvpW6zySRl9fBXotngnsBLxoDs/9DGsuyc8AbhlQJknj4WDg+NYhNPXOpPuzaIGWtE4DKdBV9eY+nvtz4OezPZbkhkHkkTQekuwM3FlVVzWOIp0F/AHwwdZBJI2+eZ1EmGRpki0HHUbS1DmYbuVPau0CYJfeTa2StFb9nES4QZK3JLkSWAFcn+SWJBclecHwIkqaYBZojYSquouuRLsbh6R16mcF+u10p4UdDWzWe+0D6Oaej0nyksHHkzSpkmwI7AWc2zqL1LNqDlqS1qqfAn0U8EdVdUFV3VydG6vqdOAVwFOGE1HShNoXuLR3uqk0CizQkuaknwJ9EfCYNTz2JMAjUCX1w/ENjZTezawrkuzSOouk0dbPLhzHAccnORb4HnATsDmwZ+86Txx8PEkT7CDgTa1DSKs5i+7P5uWtg0gaXf2cRHhukv2AQ+mO3d2WbtX53cApVVVDSShp4iTZFtikqi5rnUVazZnA04CPtQ4iaXT1exLh7cBXh5RF0vRwfEOj6lzgdUk2rKo7WoeRNJrmtQ+0JC2QBVojqXdT66V0N7lK0qws0JIWVZIldOXk7NZZpDVwNw5JazWQo7wlTb4kbwbuO4BL3ZfuPoq/SzKf1x8C/PMAckhrchbdjfOSNCsLtKS5OgwYxIFJz6SbM/3kPF//VmD3AeSQZlVVlyXZOMm2VXVN6zySRo8FWtJc3VlV317oRZLsCPzzfK+V5M6FZpDm4Cy6MY7/ax1E0uhxBlrSokmyJd0WmN9qnUVaB+egJa2RBVrSYjoIWF5Vd7cOIq3D2cC+vZteJeleLNCSFtNBdD8al0ZaVd0EXAns3TqLpNFjgZa0KNJtuXEQ7v+s8eEYh6RZWaAlLZaHADdU1XWtg0hzdBbdN32SdC8WaEmL5SDgjNYhpLmqqouAbZJs0TqLpNHiNnaSFssjgH9vHUJT4/7Ay5Ncu8DrbAz8c5LvzvP1y4D3VtUPF5hD0gixQEsauiSb0Z0+eH7jKJoeewAnApcv8DorgYcy/9n9LYHnAm9eYA5JI8QCLWkxHAKcU1V3tQ6iqXE3cFlVfWUhF0lyJvAR4CtVtXIer398L4ukCeIMtKTF8Ajgm61DSP2qqhuBK4CHtc4iaXRYoCUNVZL16G4gtECvdtKlAAAdqElEQVRrXH0TOLR1CEmjwwItadgeClxTVde3DiLN0xl0Y0iSBFigJQ2f4xsaa1V1KbBZkm1bZ5E0GizQkobtECzQGn+OcUj6JQu0pKFJsjWwNfCt1lmkBXKMQ9IvWaAlDdMjgDOqqloHkRboLGCfJBu0DiKpPQu0pGFyfEMToapuBS4F9m+dRVJ7FmhJQ5FkfWA/5n+CmzRqvkn3UxVJU84CLWlY9gW+V1U3tw4iDcjpWKAlYYGWNDyOb2iiVNUVQCXZuXEUSY1ZoCUNy6FYoDV5HOOQZIGWNHhJdgDWr6rvt84iDZhjHJIs0JKGwvENTarzgIck2bh1EEntWKAlDYPjG5pIVbUCOB84qHUWSe1YoCUNVJJlwF7A8tZZpCFxDlqachZoSYN2IHBhVd3ROog0JM5BS1POAi1p0A6mKxjSRKqqa4GfJtm9dRZJbVigJQ3aYVigNfnOAA5vHUJSGxZoSQOTZC/ghqq6pnUWachOpftmUdIUskBLGqTD6YqFNNGq6hJgiyTbts4iafFZoCUN0iOxQGt6nIpjHNJUskBLGogk2wObVNWlrbNIi+Q0HOOQppIFWtKgOL6habMc2C3Jpq2DSFpcFmhJg3IYFmhNkd6phOfgntDS1LFAS1qwJJsDD6IrE9I0cQ5amkIWaEmDcChwVlXd1TqItMhOBw5Isn7rIJIWjwVa0iA4/6ypVFU3Ad8D9mudRdLisUBLWpAkGwD7At9snUVqxDEOacpYoCUt1AHAd6rq5tZBpEa+gdvZSVPFAi1poRzf0FSrqh8DNyXZo3UWSYvDAi1p3pKE7gZCC7Sm3am4Ci1NDQu0pIXYC7i+qq5pHURqzDloaYpYoCUthIenSEBVfQvYPMl2rbNIGj4LtKSFcP5ZuodjHNKUsEBLmpckDwSWVdV3WmeRRoRjHNKUsEBLmq/D6bbvktRZDuyWZNPWQSQNlwVa0nwdBpzWOoQ0KqrqTuBsup1pJE0wC7SkviXZCtgROKd1FmnEnAI8unUIScNlgZY0H48GvllVK1sHkUbM6cB+SZa1DiJpeCzQkubjCODk1iGkUVNVtwLnA49snUXS8FigJfUlyRbAbsBZrbNII+prwJGNM0gaIgu0pH49Gji9d8OUpF91Go5xSBPNAi2pX45vSGtRVTcDFwGPaJ1F0nBYoCXNWZLNgd2BM1tnkUbcyXTfbEqaQBZoSf04HDizqla0DiKNuK8DBwNLWweRNHgWaEn9cHxDmoMZYxx7ts4iafAs0JLmagnwULp9biWt28nAPq1DSBo8C7SkudoCOMvxDWnOvgHsQffNp6QJYoGWNFdb4viGNGdVdSNwJfDA1lkkDZYFWtI6JdkE2ATHN6R+XQDs0jqEpMGyQEuai8OAX1TV7a2DSGPmQmCHJOu3DiJpcCzQkubiCOCG1iGkMXQLcD1wYOsgkgbHAi1prZJsBDwc+HnrLNKY+j5wZOsQkgbHAi1pXQ4DzgXubh1EGlM/AA5N4qEq0oSwQEtaFw9PkRbmNroSfUDjHJIGxAItaY2SbAjsC5zaOos05r4GPKp1CEmDYYGWtDZHAOdV1a2tg0hj7mvAEe7GIU0GC7SktXk88MXWIaRxV1XXA5cCj2ydRdLCWaAlzSrJlsCeeHiKNChfAh7XOoSkhbNAS1qTXwO+XlUrWgeRJsTJwH69kz0ljTELtKQ1eRzdipmkAaiq24Cz6O4tkDTGLNCSfkWSBwJbA+e0ziJNmC/S3VsgaYxZoCXN5vHAl6qqWgeRJswZwC5Jtm4dRNL8WaAlzcbxDWkIqmol3Sy0NxNKY8wCLelekuwF3FVV322dRZpQX8QCLY01C7Sk1bn3szREVXUhsHGSXVpnkTQ/FmhJv5RkCXAkjm9Iw/ZlvJlQGlsWaEkzHQj8qKquaR1EmnCOcUhjzAItaSZvHpQWQVX9ALgpycNbZ5HUPwu0JACS3Ac4FPhq6yzSlHAVWhpTFmhJqzwKuKCqbmodRJoSXwaOSLK0dRBJ/bFAS1rF8Q1pEVXVT4HvAY9onUVSfyzQkkiyBfBQ4Buts0hTxqO9pTFkgZYE3erzKVW1onUQacp8Ddg3ySatg0iaOwu0JIAnAZ9rHUKaNlV1K/BN4NdbZ5E0d3O+cSHJK4H11/KUb1fV/y48kqTF1Du6e73e6WiSFt+JwLHAJ1oHkTQ3/dz5uzPwMuCDwC2zPH7dIAJJWnRH030Bl9RAVV2QZP0ke1bVt1rnkbRucy7QVfXyJOvRrVT98RAzSVokSZYBjwae2zqLNOVOpPtm1gItjYF+Z6BfBWzmzQ7SxHgscE5V/bx1EGnKnUS3J/Sy1kEkrVtfBbqqbq6qZ1fVzcMKJGlRHQ18tnUIadpV1Q3AecBjWmeRtG4DOf0oye7ARlV17hyfu+MaHn4o8KNBZJK0dkl2AbYGzmydRRLQjXE8F7+plUbeoI4PfSawE/CiOTx3R+DANTy2M3DjgDJJWrujgc9WVbUOIgnovpl9ZZKdquqHrcNIWrOBFOiqenMfz/0i3clLvyLJ8weRR9LaJVmf7vCUY1pnkdSpqruTnET3ze27WueRtGbzOkglydIkWw46jKRF8yjgu1V1Tesgku7lROCoJIP6CbGkIZhzgU6yQZK3JLkSWAFcn+SWJBclecHwIkoagifinKU0cnrf1H4POLx1Fklr1s8K9NvpbvI7Gtis99oH0M09H5PkJYOPJ2nQkmwL7AZ8vXUWSbM6ke6bXEkjqp8fER0FHLraj3xvBE5P8grgjcC7BxlOmnZJNgX+Chjk1pH7AUuA1ybp53XbDDCDpDX7OvCKJNtU1U9ah5H0q/op0BfR7U/5X7M89iQ8ylsaht8ErgXOGdD1Qnd4ynuAfr4wrwf8yYAySFqLqrozyReB3wD+o3EcSbPop0AfBxyf5Fi6+aybgM2BPXvX8cdN0nD8vKq+MogLJXkEcHFVzfaN8NpetwFw9yAySJqTE4G/S/JBt5qURs+cC3RVnZtkP+BQuv2at6VbdX43cIp/waWx8GTg/1qHkLR2VXV5kmuBRwCnt84j6d762ianqm4HvjqkLJKGKMn2wF7AGxpHkTQ3J9AdVGaBlkbMvPaBljSWngZ8pqrubB1E0pycDOyYZJfWQSTdmwVamgJJltHtpPO/rbNImpuqWkn3d/bprbNIujcLtDQdngicWVU/ax1EUl8+DRzZ29JS0ojwqFBpOjwN+OvWIaQptUmSBy7g9ecDz0vyqQXm+EVV3bjAa0jCAi1NvCSHAjdV1SWts0hTaGfgxcAOC7jGJsCz6XbkWIi96Q5SkrRAFmhp8j2N7m5+SYtvK2B5VT13IRdJ8i/ACVV18gKusdAVbEk9zkBLEyzJjsCDcPtJadydQPfNsKQRYIGWJtvTgf+rqrtaB5G0IF8Htkuya+sgkizQ0sRKsgnwWDx5UBp7VXU38Enc0k4aCRZoaXIdDZxWVTe0DiJpID4NPCrJ5q2DSNPOAi1NoCQBngr8T+sskgajqm6mu5/hN1tnkaadBVqaTIcB11XVd1oHkTRQJwC/mWRJ6yDSNLNAS5Ppabj6LE2cqrocuAI4snEUaapZoKUJk+RhwDbAKa2zSBqK44HntQ4hTTMLtDR5ngt8pHfXvqQJU1XLgVuSPLp1FmlaWaClCZJkd7qjgz/fOIqk4fow3TfLkhqwQEuT5bnAf1XVytZBJA1PVZ0OrJfkkNZZpGlkgZYmRJJdgL2AE1tnkbQoXIWWGrFAS5PjOcBHq2pF6yCSFsXJwGZJ9m0dRJo2FmhpAiTZHjgAj+2WpkZVFfARXIWWFp0FWpoMzwZOqKrbWgeRtKi+BGyfZK/WQaRpYoGWxlyS+wOH051QJmmK9G4YPh5XoaVFZYGWxt/vAp+uqptbB5HUxOeAXZPs2jqINC0s0NIYS7IV8HjgY62zSGqjqu4EPkp3I7GkRWCBlsbbbwMnVdWNrYNIaurTwMOT7Ng6iDQNLNDSmEqyBfDrwH+3ziKpraq6A/g4zkJLi8ICLY2vFwInVtVPWweRNBI+AeybZPfWQaRJZ4GWxlDvx7SPorv7XpLoHaL078BLWmeRJp0FWhpPLwY+4s4bklZzErB5kke0DiJNMgu0NGaSPAzYFfhk6yySRktV3Q38G/BHSdI6jzSpLNDS+HkJ8N6quqt1EEmjp6pOB26ku8lY0hBYoKUxkuQIYGlVfbl1Fkkj7V+BP0iyQesg0iSyQEtjIskSutnnf22dRdJoq6pvAxcBz2idRZpEFmhpfDwZuKqqzmkdRNJYeC/w20k2bx1EmjQWaGkMJFkGPA9XnyXNUVX9GPgSHq4iDZwFWhoPvwOcWVXfbx1E0lj5EPD4JNu1DiJNkqWtA0hap42Ax9LNP0vSnFXVjUk+TndyqaQBcQVaGn2PBz5ZVde2DiJpLH0M2BPYonUQaVJYoKXRtitwP+AjrYNIGk+9I77/CXiw29pJg2GBlkZUkvvQHYTwBQ9NkbQQVbUcuAl4fuss0iSwQEuj6wXAD4ErWweRNBF+ABydZOe2MaTxZ4GWRlCSBwNH0W1BJUmDcCfwfuCVrYNI484CLY2YJAH+DHgPcFvjOJImSFV9GlgvydGts0jjzAItjZ7fAu6oqpNaB5E0kf4B+MMk7sohzZMFWhohSbaim33+p9ZZJE2mqroc+Bzwx62zSOPKAi2NlpcDn6qqK1oHkTTRPgg8LMn+rYNI48gCLY2IJAcDuwH/2TqLpMlWVXcA/wL8SZL1W+eRxo0FWhoBvdGNVwN/0zv0QJKGqqpOBy4Ejm2dRRo3FmhpNLyWbnTj4tZBJE2VtwP7JDmidRBpnFigpcaSPAvYEPhw6yySpktV3Q68CTg2ydat80jjwgItNZRkV+D3gDdX1d2t80iaPlX1HeC/gON6+9BLWgcLtNRIkg2B1wP/UlU/aZ1H0vSqqo8CK4DntM4ijQMLtNTOy4GLq+qrrYNIEvDXwFOT7NU6iDTqLNBSA0keDexHt42UJDVXVdcDb6Ub5diodR5plFmgpUXWu1HnWOBNVXVb6zyStEpva7tv4tZ20lpZoKVFlGQJ3dzzx6vq0tZ5JGkW7wYelOTo1kGkUWWBlhbXXwJXV9XxrYNI0mx6pxT+JfDCJAe0ziONIgu0tEiSPA/YFvj71lkkaW2q6hrgOOB1SXZsnUcaNUtbB5BGUZKHAAcN8JJ7Ar8GfAB4Vh9brT4SOHeAOSRpTqrqoiTvBv4myTFV9YvWmaRRYYGWZvdJ4P3ATQO41jbAE4GPAQUs6+O1jwY2At43gByS1Jeq+kKSnYH/L8krq2pl40jSSLBAS7O7DHh/Vd24kIskuR/dDTkvq6rT5vH6/YCNF5JBknq2SPKyeb52D+DjSb4ygBzrA++sqhUDuJbUhAVaGpLeSYN/DfzPfMqzJA3YHsBPgbvm8doPAi8Edqbb5m4hHgg8D3+ypjFmgZaG5zXA2VX1362DSBJwN/C5+f5kLclXgXfQbcN5xnxDJHk2/Y2ySSPHXTikAUuyXpI30v2Y8gOt80jSIPR25ng18Ookh7bOI7VkgZYGKMl6wOuADYDXe8ONpElSVZcBfwG8KskhrfNIrVigpQFJtzfda4FNgOOqaj5zhpI00qrqu8CrgNckGeR2n9LYsEBLA9Arz68GtgBeV1V3No4kSUNTVZfS3efxOk8r1DSyQEuD8RfA1sBr3ZpJ0jSoqm/R/dTtuCSPap1HWkwWaGkB0nkzsB3wGsuzpGlSVRcDfwWckuSRrfNIi8UCLc1TkvsAX6HbV/XPquqOxpEkadFV1QV0iwh/nuSo1nmkxWCBluahd8Lg24ETgX/xhkFJ06y3xd0rgN9P8oLWeaRhs0BLfUqyK/Au4MtV9Q9VVa0zSVJrVXUF8BLgwCSvS7J+60zSsFigpT70Dg/4B+DtnjAoSffWO+XwT+j6xduSbN44kjQUFmhpjpIcDbwSeFVVfb11HkkaRVV1Z1W9CTgHeFeS7VpnkgZtaesA0qhLsgnwp8BOwEur6trGkSRp5FXVB5L8CHhnkvdU1edbZ5IGxRVoaS2S7AO8H7gey7Mk9aWqvgD8OfA7SY7rLUhIY88CLa3Zc4HXA/9YVe9wmzpJ6l9VfQ94Md1CxAeAHdomkhbOAi2tJsm2wD7Ag4E/qKozG0eSpLHWm4t+B/BW4GnA4Y0jSQtigZZ6kixJ8jTg3cC1wBt6d5RLkgagqs4C/g24f5J3JnlI60zSfFigJSDJvsD7gEfSHQZwTdtEkjSxbgNOAD4D/G2SP3O7O40bd+HQVEuyNfBSYE/gHVX1jd7Hm+aSpElXVZ9LcjLw+8CHkvwH8KmqurtpMGkOXIHWVEqyfpLn0q06/wB43qryLElaHFV1a1W9C3g53Vz0+5M8tHEsaZ1cgdZUSbIh8GTgt4FLgBdX1U/appKk6dY7BvyVSR4FvC7JVcCHq+r8xtGkWVmgNRWSbAQ8FXgGcD7wmqq6rG0qSdJMVfX1JKcBjwf+PMkNdEXa3ZA0UizQmmhJNqZbbf4t4JvAK3orHZKkEVRVK4GTknweeAxwTJIXAv9RVae3TSd1LNCaSL1dNY4GDgG+BvxRVbmzhiSNiaoq4CvAV5IcBjw3ySuAE4GTquq6pgE11SzQGhlJdgW+CHxnnpdYCtwP2BpYCfwU+BnwBOAJfe6sceA8M0iSBqyqTgVO7X2dOBp4X5JL6Mr06b1Va2nRWKA1SnYB3ltVb5nrC5JsSrd382HAfsCHgM9U1aULCZLk6oW8XpK0RpsBz0/ysAVc4wpgd+DXgU2TXAlcRbdoMlcBLq+qty0gh6bUvAp0kqXAplV1w4DzSOvU27v5cOBRdP+Ang18A3hLVd3eMpskaZ32Bi4H3j+g690fOBjYH3gYcB5wDt1OS3et5XXrAW/rvUl9mXOBTrIB8AbgucD23YdyK91fgn+sqn8fSkJNvSTL6P5R3Bd4OPBA4DTgE8DZVbWiYTxJUv/uqKoLBni9LwEkuT/3LLD8LnAWcAFwXlV9f+YLer3mzgFm0BTpZwX67cC2dLNH3wduofsxzF7APye5T1W9e/ARNW16O2fsQbeasC/wIODbdKsK7wEu8qQqSdLqqupaumPCT+iN+B1E93XkKb3jws+n+1pyLvDjZkE19vop0EcBh662k8GNwOm9u2LfCFig1ZfeP3APoRvFeALdCvOjgG/RrRq8F7i4qlwlkCTNWVX9gt4uHgBJtqIr0/sCvwk8ANgjybF0N69/B7ist/uHtFb9FOiL6PZj/K9ZHnsS4HYyWqMk2wA7Ajus9n4j4LvApcDFwDVV9apWOSVJk6mqrufehXpT4MvA3cCvAS8Etk7yU+Bq4JoZ768C7hhivLsWevO7Flc/Bfo44Pjed2rfA24CNgf27F3niYOPp8WQZB+6nzDMdxugDemK8DJg0xlvm/TebwysAG7ovf289/4C4ObeNe4D7Ea39ZwkScN2B12H2a33+x/TleVN6EZWd+Oer2Ob0BXtW3tvt814f1vvWrf3njMfj0vyAg+KGR9zLtBVdW6S/YBDgZ3p/nBdRze2cYo/8hhrrwQ+CxRdGV71tgFd+V3We9toxq83o/sHZRO6fzhuBn5BN9bzM7pvsn7OPWV5LuV8O+CAAf03SZK0LndU1cvm8sTeDPU2s7zdD9iK7gb3O4Hr6b7u/Yx7vjbe1Hv/C7qvi7dzTxm/FTiGbjcRjYm+trHrbRH21SFlWRS9HR32W9PDa/l9Znkcum1wZnt8vdU+tur9khmP/4DuL9Gq5y7p/XrmW4D1e4/NfAtdwV064/FV7zfs/XqDGe+X0BXgDelWe2e+P5BuDvl67v0X+hd0N4v+jHv+4q8qyauK8fXMf+V6dXvBL++Mbi3AeiOQZVRyrEe3807rHND9mR+FLBmRHDA6//+MSg7o/Rs6AllG6c/JqPx7Mio5+v3zehvd1+0frOU5G9GV6S3ofkq/Od0K9lZ0i48bc89PZjfinoWpXYHbk7yM7ie2M9/uoNuO7y66gr7q/apfr+y9zfz1nXSLYnf33lb23t814+MzH1/1++o9NzM+zozHVi2W3j3j18zy2OpWfa7M+P0qq/47VndHVV08y8dHQgaxcJxkd2Cjqjp3Ds99OfC0NTx8X+CEqnrDgkOt+fO/EXgNa9+6Zj7/o6zrNas/HrrV21vX8by1/X62X/+/9u4v1LKyDuP49xnPjOJoOXEmJOiPqFQ4BCJFaDEIZalXUkoSaFFSFNRNXURdJEbgRYJZSF01EREFFY5YF0EJdREVxhjan4lIYsb+jKjMTCTpr4u1ZQ5nzpmZZTPzew/n+4HN2fvd++LhsM7iOe9e631P5efq5zuZ1lJ+ep3sZ8vLmZZIfKw5B0zrlP6R6eTVaZnpRpfTudzTSxGmpQS7cwBcwXSC/31zjm1MX/GOcIJ/I9M/u08059jOdG/D4805YPqd/IN5G2ucCZ7Xjud57XhXMP1eDnJs8m29Byd5vvLnycbWen4h02QZ63xmPSvL8alu/RumPrZ1jffOB5arqvtveE2nq0B/DnhtVd3x/0eSJEmSxvWSCrQ7EUqSJGmz2nLyj0ySbEvyxcV+888BTyU5kuR3ST545iJKkiRJ43AnQkmSJGmGU76EI8lfOH4nwhffeytwZ1W96zTnkyRJkoZyypdwcGwnwrW4E6EkSZI2hTkz0FcC32Za2mTNnQir6q9nKKckSZI0hFmrcCQ5j+N3IvwT7kQoSZKkTeK0rAMtSZIkbRZzroGWJEmSNj0LtCRJkjSDBVqSJEmawQItSZIkzWCBliRJkmawQEuSJEkzLHUH2KyS7AQ+AezvzqKhLQPnAH/vDqKhXcJ0jBztDqKh7WLaVVg6kYur6u7uEKNzBrrPMrC7O4SGdynwhu4QGt7VwI7uEBrejd0BNLwtwM3dITYCZ6D7/BvYX1V7uoNoXEmeAy7wONGJJLkKeKCqnF3UupJ8wHOJTiTJEnBrd46NwBloSZIkaQYLtCRJkjSDBVqSJEmawQItSZIkzWCBliRJkmZwFY4+zwI/6Q6h4f0BOLc7hIb3MHCoO4SG9/3uABreC8APu0NsBKmq7gySJEnShuElHJIkSdIMFmhJkiRpBgu0JEmSNIMFWpIkSZrBAi1JkiTNYIGWJEmSZrBAS5IkSTNYoCVJkqQZLNADSPL1JF/rzqHxJFlKcneSfYvHXUm2dufSGJLsSPLdJH9L8miSq7ozaTxJbknysyT7k+xJ8vruTBpXkuuSPNWdY3QW6GZJrgdu6c6hYd0O7AKuXjzeDNzWmkgjuR/YD7wO+AzwQJLzWhNpKEkuBr4CfAi4HPg1cG9rKA0ryUXAPUC6s4zOAt0oyQ7g88CXm6NoXPuAT1bV4ao6DDwCvK05k8ZxA3BPVf23qh4EngTe3pxJY9kC3FxVf66qAn4OXNOcSeO6F7gPqO4go7NA9/oq8AXg2e4gGlNV/aqq9gMkOR+4FXioN5VGsJgpOreq/rVi+EnglU2RNKCqOlBVD68Y+jDw4648GleSm5h64Y+6s2wES90BNqsk7wW2VNVer0fTySRZAr4F7Kuq73Xn0RCWgSOrxo4AFzRk0QaQ5DbgPcBburNoLEl2AncBu4HtzXE2BGegz5IkB5I8s3jcxPQVyQ+SXAtcCrwqyZW9KdVt1XHyzsXYEvAd4CK8Xl7HHAIuXDX2MuBgQxYNblGevwRcV1VPdOfRcO4Dfgq8iel+m61Jrk2yrTfWuDJdEqUzLck1wDmLl0eBb6x4exnYBuytqtvPcjQNZNVx8ijwDPBN4NXADVW1esZRm1iSI8BlVXVw8fox4P1V9UhvMo1k8Y3n/cC7q+o33Xk0niR7gUsWL7cClwGPA7ur6lBbsIFZoAeQ5FPA5VX1ke4sGkuSjwEfZbox7PBiuKrqhb5UGkWSPcAB4LPAO5juq9hVVf9pDaZhJHkN0z/j1wO/fHG8qp5vC6WhLY6Z31bVK7qzjMxroKWxfZppibKnV4w9BNzYkkajuRN4EHgf8Dxwh+VZq3yc6dKeX6wcTLK9qo72RJI2PmegJWmDS7Kzqv7ZnUOSNgsLtCRJkjSDq3BIkiRJM1igJUmSpBks0JIkSdIMFmhJkiRpBgu0JEmSNIMFWpIkSZrBAi1JkiTNYIGWJEmSZvgfKw3LWVFP6R4AAAAASUVORK5CYII=" title="plot of chunk fig-01" alt="plot of chunk fig-01" style="display: block; margin: auto;" /></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="backdrop"></slide>
</slides>
<div class="pagination pagination-small" id='io2012-ptoc' style="display:none;">
<ul>
<li>
<a href="#" target="_self" rel='tooltip'
data-slide=1 title='平均とは'>
1
</a>
</li>
<li>
<a href="#" target="_self" rel='tooltip'
data-slide=2 title='ヒストグラム'>
2
</a>
</li>
</ul>
</div> <!--[if IE]>
<script
src="http://ajax.googleapis.com/ajax/libs/chrome-frame/1/CFInstall.min.js">
</script>
<script>CFInstall.check({mode: 'overlay'});</script>
<![endif]-->
</body>
<!-- Load Javascripts for Widgets -->
<!-- MathJax: Fall back to local if CDN offline but local image fonts are not supported (saves >100MB) -->
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
tex2jax: {
inlineMath: [['$','$'], ['\\(','\\)']],
processEscapes: true
}
});
</script>
<script type="text/javascript" src="http://cdn.mathjax.org/mathjax/2.0-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<!-- <script src="https://c328740.ssl.cf1.rackcdn.com/mathjax/2.0-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script> -->
<script>window.MathJax || document.write('<script type="text/x-mathjax-config">MathJax.Hub.Config({"HTML-CSS":{imageFont:null}});<\/script><script src="http://slidifylibraries2.googlecode.com/git/inst/libraries/widgets/mathjax/MathJax.js?config=TeX-AMS-MML_HTMLorMML"><\/script>')
</script>
<!-- LOAD HIGHLIGHTER JS FILES -->
<script src="http://slidifylibraries2.googlecode.com/git/inst/libraries/highlighters/highlight.js/highlight.pack.js"></script>
<script>hljs.initHighlightingOnLoad();</script>
<!-- DONE LOADING HIGHLIGHTER JS FILES -->
</html>
Raw
index.md
title はじめてのslidify
subtitle マークダウンで楽々HTML5スライド作成
author @kohske
job
framework io2012
highlighter highlight.js
hitheme tomorrow
widgets
mathjax
mode standalone

平均とは

  • (\frac{1}{n}\sum_{i}x_i) ということです。
  • 例えば1から10までの平均は5.5です。

乱数の生成

10000個の正規乱数を生成して平均値を求めます。

set.seed(42)
x <- rnorm(10000)
mean(x)
## [1] -0.01131

ヒストグラム

正規乱数をヒストグラムとカーブフィッティングにより可視化します。

plot of chunk fig-01

Raw
index.Rmd
---
title : はじめてのslidify
subtitle : マークダウンで楽々HTML5スライド作成
author : "@kohske"
job :
framework : io2012 # {io2012, html5slides, shower, dzslides, ...}
highlighter : highlight.js # {highlight.js, prettify, highlight}
hitheme : tomorrow #
widgets : [mathjax] # {mathjax, quiz, bootstrap}
mode : standalone # {selfcontained, standalone, draft}
---
## 平均とは
- \(\frac{1}{n}\sum_{i}x_i\) ということです。
- 例えば1から10までの平均は`r mean(1:10)`です。
### 乱数の生成
10000個の正規乱数を生成して平均値を求めます。
```{r}
set.seed(42)
x <- rnorm(10000)
mean(x)
```
---
## ヒストグラム
正規乱数をヒストグラムとカーブフィッティングにより可視化します。
```{r fig-01, echo=F, fig.align="center", fig.width=10}
par(mar=c(2.5, 2.5, 1.5, 1))
hist(x, probability = TRUE)
curve(dnorm(x), add=TRUE)
```
Raw
index.Rmd~
---
title :
subtitle :
author :
job :
framework : io2012 # {io2012, html5slides, shower, dzslides, ...}
highlighter : highlight.js # {highlight.js, prettify, highlight}
hitheme : tomorrow #
widgets : [] # {mathjax, quiz, bootstrap}
mode : selfcontained # {standalone, draft}
---
## Read-And-Delete
1. Edit YAML front matter
2. Write using R Markdown
3. Use an empty line followed by three dashes to separate slides!
--- .class #id
## Slide 2
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment