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<h1>A very simple R markdown document</h1>
<h2>Script structure</h2>
<ul>
<li>Creating data</li>
<li>Graphs</li>
<li>Hipothesis test</li>
<li>Modeling</li>
</ul>
<h2>Creating some <em>data</em>:</h2>
<pre><code class="r">r1 <- 10 + rnorm(100) * 10
r2 <- 4.5 + r1 + rnorm(100) * 3
summary(r1)
</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -19.30 3.16 9.57 10.20 18.20 33.00
</code></pre>
<pre><code class="r">summary(r2)
</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -15.70 8.13 14.40 14.80 23.10 38.10
</code></pre>
<p>The mean of r1 is 10.241 r2 is 14.752.</p>
<h2>Graphs</h2>
<pre><code class="r">par(mfrow = c(2, 1))
hist(r1, col = 2)
hist(r2, col = 3)
</code></pre>
<p><img 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" alt="plot of chunk graficos1"/> </p>
<p>A scatterplot r1xr2
(using echo = False)</p>
<p><img 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" alt="plot of chunk graficos2"/> </p>
<h2>Hypothesis test</h2>
<pre><code class="ttest r">test <- t.test(r1,r2)
</code></pre>
<h2>Regression Model</h2>
<pre><code class="r">reg <- lm(r2 ~ r1)
summary(reg)
</code></pre>
<pre><code>##
## Call:
## lm(formula = r2 ~ r1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.602 -2.112 -0.665 1.727 10.516
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.7652 0.4112 11.6 <2e-16 ***
## r1 0.9752 0.0278 35.0 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.96 on 98 degrees of freedom
## Multiple R-squared: 0.926, Adjusted R-squared: 0.925
## F-statistic: 1.23e+03 on 1 and 98 DF, p-value: <2e-16
</code></pre>
<p>The fitted curve is:</p>
<pre><code class="r">plot(r1, r2)
abline(reg)
</code></pre>
<p><img 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ac2o6ryfUMEjt/OUysYj0TuFCCeH9yyc3PTZB5nj1Jz/Z5vmnq8iNMOgHhe6F2ZRg1TK9M/dnVqKVFcZJhQzDlAPMsMXjHV+sg9rHkRCqDSyujvxD4kr81v3c5lv0A8uxwqS/1MPeu+6sshJpWT294iSjIj8Pwf6htXGr7xl+Eb7zoMJVPupv3LQDShuethmBVN1EgXMS0ns/42H/k+mA37eJdjzW6iyGohitTO67nKMsPVOu+pu48h2bC5N+Co3uWYQaYUKCYzx63dra/xuG4yHvHa1GDVg6J/j+ShZ5A/nlXca5a5D/8mh5h6qB/Aqg8VdGFkUF3RJHToWI+G0mAI5I9nF5+Mquujcr869ngvNTuyY57Z4pV/y67OkZeyMmipfSB/PBeEx+ljqWKfRVgsaXorCKEqBfddgvzxHLJNbRV08ck+GVp5i4e+QP54zpBn37EOuvA40d6ezeZ4drZg4aje15A/ntvzUsGjeJjO2813GlgQvziP4te13a8qIcL/8H9q7g0wqRg0x3J/zynMxUe2/EeuO+r1xrIefupNGf2nEwhNq+iqSK07nl/awwcwcMBcvO5g0JdnQbx9lrS3kn/KOp+EHPKU+N1PPshfj5iL/6sCuX0dCeLtsafCr5H8W9I5FN7aXUThb3XxgzuYi//mbYTma/1BvE3csi+7o7wVCL2l7qyL/4QoovNtv4htmItf8Xei+5nfgnhb9K4kRzPxv1tZXhHeWemlmS8Pr7EetJozMBzVh8UhJJth9bwgiNdDBl0g3xvaBhPtBIEX60t49A5359hmChV0kU380I/ncY9uDYhnlw06KuiCGuSizHB1U3Ho3plB/HVJD4hnFWWpPuiikSwMN+E81av7zWrn2zyId4bwPNX9yY6v7nnDGHTxJflTbxjdZGkGUSz4BHvnnAPEO4F/y3g0SBPl6Or9GjrjZn1valTlhgu2qWuJIqzAb5gP9g46AYh3gvXkVZfpZxxce2SH6cDTHt7GqWm5RJFU0ZT/bBfOzjkJiHeC3WuIIsLBqy5xVkEXRq58ueFkRx5CbvhzSzkOiHeCCWTU5PFtDq1rHXThuSTJEFU5MXnOGTLVyELseSccB8Q7w7Enx+7cciQMWp79lWXQRVDrwU1F6ca5DDL2bs1erL1zChDvFMFx4Y6s5kMTdHFpDkIylTFp6Ch1PzRAM8RyJe4A8SwQrFlrXVlP/lKkd+YhnVXXUOPEmSF2QDx+xr98m6a2kPx63xzFdWdsAeKxs7SNdjjSSdpx/VNKuO6MTUA8bvY+9rOs6jOOjKMd/cXdFB5jrSwA8Xhxz7vsZlmnrDin5vTZd0cA8VjRB12Ys+I8cThfMo6H3tgDxONkSPNC68pLY4lipfU/BL+AeIxMaX+LpvYUOdLFO+9w3ZluAPH42KgbQFc9pjYIDWsO4ro33QDisaEs9R0UR6c+tkz9cAzn3ekGEN8z5Nu+yhkVODGss4IMush8cLSEJkmF742WpnLaHwMeAfE9I//Y4JjfvswqyaeuyfcaF9GQjBKJw3d0LdZq3asru8JvBAOI7xEDSxAaXlWB0AfvEnNptdd/KkLosxhiel6G1cqNZMHHqBf2APE9YtoZhLYlaRAaVUx8mx/EPxuRuRIdXkIs2bjT6sKdWYitUADx5sQ/VVXO6341/3o5Wp5V4Pew7V8ahu/LVgeiMTkorHkYiv7u67IGi5P5L1YKLagegXgLRtQHoj61I+2uM7+m/mbo7orNH/494dr6yinD1OoWL+LQ/RRCY++oqio8kKLGPOjKBw7uBM/hd+UIJRyxt8q06n5oZpPX5JRN0Xd/qp6FfL6/oBuGgmqpG66J32q2yPTDGprSFWkpGEC8KR/9rrpxMZptN4HA9RFEcUqlKaseTe69QzRtgRGFqlLqObiU/CtLzp5C61I46S0jQLwJGz6LeaioCy+cbmsF/3xVzffDiInqKwgN1co/2Tnh5Q6Te+xa92nFXrrA2nD2+8oUEG9CQThK0mh/Y7yFGpp5b795yOT15cSJ+nOEZH8hw2muRnmU/PKrwn5dy4lfgM31f27gI3Oks4B4E65EIeSeYRxteEjzgojkKtPc7bJ6ovD44aGy8RsygO76iH0WQReVoQj5NXHUW2aAeBPiihQoTGccruQceQ3u1Hwk62OMmJVTZ+Q1Y2IDj6TL0LjGvByLoIuxusP7NdaX7oQIiDdlfY26ZLxx5kEwUWx+L/n5o44kQ9WduYNHzSL36fITrZrHDdb32APWbgzmpKeMAfGW+M82PBWZTsZIX9tcKEdu9yfoq0K//9P3/56gn6YNuhAPIN6C1aqMK0XUabdP3bENuRcz5hCT847pF+Ys9vTq00bt9mPaxpq9rncIt/1kCog3J6iR0LpRSU17rD04Cx1dQEwtMjz6ROWMyiXTfm8yD7pQ3Kl/3BSNRpZ3aJdx2d2eA+LNWUBetfNUdVWMqfJDvasNz0HUkQdzt8MQUt4zvxZ3cRVCAzW9m4ajXsU2rwIIChBvziTynnqwadcX6Bq0xts2O8+4o9kVyPMmNdJF1B31Y8MpO/VTcP39D4hy5FUOu9tzQLw57nXzUJ/yuTaWyva1td/oF6RJJmcC2iJRn2r9828N5D/C7b1k2pEB97jpKUNAvAX9zqtLE+yuEdW2sby+Zpn+IedxF6m6Dz+QoYlVg6uIXcHRrRz0kjkg3lnin01sHo4URXHbtxBzQ/XZJdw+6WgvGoDWtt6o/VxIo9LbBsQ7SZIqcBm5K4+8NrJSThzlmX+/fd7qR/8ywQHinUKefdsTbdhBTIXeRTsassoui+P7bQ2IdwafYvIq7aBaL4ROEl9133FWyYVEA4h3ghDNGurvKu0N9TmxftUNOCTeVvYRu7ie+Ikvpxqm5IOt80mJDIfE28o+YhfRifdevMLuYESJul2nk4QzsgFDHBJvK/uIXcQmPrT9o72aDbaXpz1+cjzhQK3ov+oGHBJvK/uIXcQmvmACQp7NtsJh3fMurfqY+JssgjhKh3BIvK3sI3YRm3jqcvsFG4OM+lfuQEfI+++jcjnsEps4dlRvI/uIXcQmvoYMnyulv6se3rKAOJYnByDd+AGnnWIPB0/n/mx7fDZXyR+/uHyYX1oB7aKZL8igC/eq3VOSGgX2CFyPcVD81ss2R3RwmfzxMwsrdrvTLdikJYMuUlvqOgoP+MZduy7qkCsjDop/Q0G7yNXzx8uUheQR3+p8DzRSp3i3MGrQVaENZNQTIH98N3jf16cXKSavzp6IbfZASN4q8qt2JJA/3j5Bmnf1E0/IY7/0xXXk9GPTA5qVuo7SEdx3jCksXKvvM4niXjH2lrknqm3z3mQqE/Dewwj56QLriC++n9ZkjdkPfFFkky9P/es5LIiPz6ToUHW/Ku8kqFT1m03mgyeZBc/Gtx4pX/VeMxloL7+gvfNsFprRsj2pyfTZuHzyA0xfwEVnsSLtu3PhxNmZV+m0zvmMmnOVp7sWp9QOaHUj1npMzSkGkbv2vus29Ddtooic27Wei95iRdrid24kiphzxtnpXxLFBeP3WZ5d4Dkmh5zS2GkihdgFuNcOZq+PLMFc/Ldv6M/1xCA+lXwydtIFcnLhwUTZMTKM+u2z+mVU0EUvcn/V295QZfKc6uzWlWx3FD/Mxbs9X0pbLwbxkbUK5HY3ntB377Mln5TvIf8PlhymFg1qXU3+yfw0OqbS/vOvQW8pWO8ofjD81O+Pp60Wg3i0uvFRUyrxd6WSKNL2Nw5HQ+qpn20y6MJrYWKwbENB7ni7TYgUye3jg5fNM0vtqR/ZIIN8hGL8xVFlzyuogeWXaQeioGcn9qgcSzInQqQmPvbZ/sOt1oOLb9pjLCjSy3sh9OV04rCt0ermk4sgNfFNfYjdd6VVtbd2y4i1rQbJHtey3ZDPzJdksM3pGYY1fGbGuErwDYXExAeUkmWD9bV2n925+w3eyaALNKr99Kv2CQgVGjJKRbd/+kkLj6lgsSMx8XIdUbjp7K0S3kI+Ovfs4oG1tS29Uu6jhIufjkLoKfEPEFLHTSc5QWLi0cnMvgOu2UvfPesFmVPg9O+nLWnb/Ifq/R4Z2dFTG+bI9TdnrMYnFi9SEy/bUlqUaGf5Zi0ZfNWnXidDg0qa5MiHHLysrwppyb1Dk1VmMfEiNfH2kSnvUmG2Mecyzvgq/jmT2LdfIec16Nhpd/mH5+y/WlSAeBOMQRfEN162vUb7D3KEvHTEtzy0AsmSK6tSXegLD+JN6K9JMk6eukrs46nT/V2lSzY+o8sqJnJAfCfRbTO6ZmKVBwx35kfv3S7eZ2JtA+KNzGk1/SjCHmh0m22u6wKAeAO71IEmc966MUhxU4R3Wx1GmuLj826sNrt6J8++5bn/eccTY06RmZ8SRT/hZHvHjyTFb3s4NPRzfRqK0MzCNC/k8ygNvXveDQ1vNDwGPf8oUfg85a+LrCNJ8U1exCl7M/nUTHhzQuT2iiFk0EUFeVnurGHogwANcT6/Yz+fnWQZSYqnYujukUftWbOI4uYrMlNgFXnp5oQx2GZB682q66503m6JJMVXhSCkaCGnioIQWvbtQXJy7z6E/Bs7A+S9hrjiSVwXkhQ/6dn72+qpUaaPrUbpZQXUaPTybF1Z69v8doxDJCmeTCShvzzj2/C8+uoFQ63PIP56xDnSFN9JQHXeBzOJv4FHLid58N0ZTpGY+JFHj0YR++/Bcv2sPuiCOKlrXhi556kLPAPrONISn1i9aGHV8hPPStupwQ30QRcE58gI8S9mmq7aa8ZbLv2PIC3xzT7E4fx3ZxDyrif251vqjCMOPyKP4JPeMVkzvvl0Xo3AUr5jRVLiPdRk+UfyafYdG2XKu51hsyfJzO95JrGUnm3EeV3sNa47yCGSEo+avIkd/J9I8fvWPVB2/ZQHtKYu/NxU89hLZNnIbe84RVri11bFxVaeKvBEIS1as0EsvdZ/MNt0nsov4qnmtHPcIi3xaIry5BS0rb2j9dfd5IoqWY98brnyDXmJiTdgHnRBh99JVcVaTvrCE5IUn6p25eN1x5CgeHn2VdpxDKWF9MT7PnKF8QkZIznxg1tX8d0FQSA18ZPaXXJ8C+eRmPjl2oF8d0EgSEu8khzpAiCRkniP/ExXjqJzDgmJD6h6n+8uCAjpiI/omN/9StJBMuJnG4MuAAqpiN9SK5Y0zxwhDfGyzDsuNVYZBiQhXvFQ6dLxcz1BCuL7N+y8rL4Du3gzJCB+VNucxplu0fVD+e6IoHB98Yvbh60i78fNPsV3TwSFy4vfre6DdpOxNMNuDN26Qowjy7ODi4uXZ19xR2jKbWJy/52KLXvb7GaIlxKuLb73U33QxUfle2/eI8elHFXIc48Eg0uLD+tMFjN85fjJWeSEvbxCksKVxU9qH2cyF1xBFH2th6qXKC4sfkVTqNn8zfSQaPUcnjojOFxXvFXQhXvS7cuT+OmLABGveP9x9tLFeFyHoAu7iFb8IW2+bp/JvCzx4MKuOQi66A6xip+TTxQFXUMZeJR/suSz+4aBLlDkcwi66AYM+ePPvvr59assq99ddsWfIp3P+bhzPukAUZwwhMzPfjGaKOXDI+R0LwVImIt/khOl8InMLO+s6GvIH8/qSLCHFhPFiq7f+vPkYVvcCWp6ay05wMUgVe5l7Ug2+yBqmIv/iRr+Vfb7zoo4Q/74GqYt2yKxWnc8Wh2EQkySOKduMRbGoIsK4lsfIYYc9vzAXPzTnJEK74jMJ5b1rP3Ur/oqyCvp9oy65+qYrkq/Z2tHbNF6dwVduFF5o6rgrowNMOzjP3v1y+vfXfC3rGdNvIocdPZRkGU3PspL90MouGG9oaKBLOrgnM4GIjyqpy63Z9OniRnVNs04eWGfDO3INcwMnQBPxJsjQvE3JpPJoWjHoVzSPqxz2iujpkap/6V3v198vsWVxzXpASIUH6Q5/3HjIrolu1Vm3+tklfphFDmRlkoOdRZK9xLJIkLxyD1uKV2QvFt2rtlIF8tveqIIHTkOeVkAUexZzVZ/RIkYxdNjDLro5H4wURyfSxQF5A7g47nc9kfguIz4rqALI+Xk9/zgUqKIKwtEU5rgzM4UVxE/2SzogmL3EYR8m6mdQoJac3MAl90RPi4i3hh0Idte17DLcIVenlt9U0t7EAi4inhlmSGXzIdn+r6nLjLem1EMgienbOEK4j2udz4a1+itPpDwr2VwV65bXEB8QPV7xkm3up3bEXp6ZilHmxYx4hcf2TGva6b25lgU1JRwlJtNixnRi499FmEyN+afi4/rJh5ex8mmRY3YxW+rNc8LGPLrrMmp1Z5cbFrciFu8PPMry5EufA/kpoD37hG1eMXDdDhf6yFiFh/cAPvyHiNi8aO7gi4ApxGveNOgC8BpRCt+T4Wf/RXcdlRWHYRBzmwhUvFu2Ze7Sy9y7Iy77EAOi30QN+IU37uy+/QiVExmLWSfsYEoxYc1d3+3VUaJL4PgWhuIUfyUNvrYanOejEQoRMtWH0SPCMVvaHYoXjay+czJliks9UH8iE98Z9BFd3hMmurNThdcAbGJ97gB4xFjQWTi+zVsZ6FVKSIu8SNNgy4s8ExvUsEzEw4jKvHmQRcW3Erx7pufjH2broo4xCfrNHdD0TZ1X9ur9CaHLvSAgSsdRRTit+Z6oomNOVZBF6YMvUGWIN5RRCG+kjiBU3x3ye7hvKyZWGk0jFHsKKIQr3ZHwZpHM+2vNEd74lwTPArtKKIQn5E8/uU8XXfXbQJjp9OOlgDQIQrxnk0/FbfHYmsOQCIRv7diaBhEzuJFBOLd87oNugCcRvjiHQm6AJxG8OKHNC+krffbeWoFPBTbc4Qufko7fdBFv/ZNU48X4diCRBG4+I06G2fmpxLITczAsAmJImzxylJbJ+8P+xPFVrhH22OELN7zpu2gi1Pk2AeX4RvfYwQs3m7QRWATsY8vYLgFKSNc8SM77I5I6LPjVCKzDUgbwYqPezYCU0cAOoQq/h17QRcAc4QpXp59Gx53ZBdBivcpgpEu2EaI4kM0a3F2BKBDgOInvHwba0cAOoQnfmnbULwdAegQXKbJfY+7GekCwAILmSYN9Ei8e14OJAzjBBYyTRroiXj/Kgi64AhBZZq0FXQB4EdImSantI1l2hnAUQR0VL9RB2ljuEM44pUlDo50AeCABfED51GUlDrzIntBFwALsCB+ejrF4zwnXhOkgSfbuYW5+G/f6LGsX5fqeBtRbd08EQnghrl4t+f0qX+cEB/fCkEXXIPhp35/PG214+KT1IGMOwE4CXtH9Y6Kl2ffhgciuYd38T5FcJWWD/CItzqyQ46KD9GswdEBwFl4Fj/h5VQc2wecBo/4b2nqHBGfqBuEY/OA8/C6j99XDkEXfMGjePe8SxB0wRv8ifev3MHWpoHu4U38kOYafp5NAAADd0lEQVQFbG0ZcAC+xMdA0AW/8CR+EwRd8Aw/4pX3IGkIz/Ah3vMWBF3wDg/igzTvsrVNwGG4Fx/VBiPXCADOxcfDSBeCgGvxKbUQdCEIuBUvzy6AoAthwKl4n2IIuhAKXIof1AJBF4KBQ/ETIehCQHAnPlE7kK1NAc7Dmfj08l5sbQnoARyJ98jLhqALQcGNeAi6EByciA9vgaALocGF+JkvIOhCcHAgfpMWgi6EB+viZcpCCLoQIGyL975vCLoIj+vP1paAHsCyeGPQhexqWVb9HrY2BTgPu+KjjUEX7x4himI4xhMOrIqf02psndrMhhS2tgU4DZvid3UFXZyLIYpUGIZeOLAo/un9rsP50TUhaEwjPCIpHFgUX2oaQz2jpuMejEMvIHgfCgXgBxAvUUC8RAHxEgXESxQQL1FAvEQB8RIFxEsUEC9R2BOf8N0LI7+8xsR//xeulv4frob+5z8xNfSf/4Opodf/9cIBvgtlS7wJGlwNbd+KqyVsXcoZg6mhMTmYGsL33hgD4h0AxNsBxDsCiLcDiOcCEO8AIN4OIN4RhCNejauhpE24WsLWpexoTA1FZ2NqCN97Y4wXrobcsT1rja1L2BoSYpcAAAAAAAAAAAAAAAAAV2b5P/5VG4lQnyc/VvRh1pIblcIWQ0NY2sDYIXwf0cLf/PU3CdjeHyPC/j5NcagFoczLXpfPMmoprZ1KWs28ITxt4OsQvo9I/pe58jV/xPX+mBGXj1DQfyD0KgpFvWLUUvxS6nNm3hCeNvB1CN9H5LlY5pf4Da73xxi3q7kI/aJAip8ZNkR9zjgawtEG1g5h+4h6vfnf6fjeX0/59g35ycz7OtMdodfeyOc1s4b0nzOjhgzgaANnhzB8REZ8j3Xge39MkJ0lj1sQ+l0EiviOYVtvcDWEow18HcL3EYVnIRT8C773x4QZ3wb06tULoc/Pys5mMWyL+pxxNISjDXwdwvcRef4YK9unw/f+mHD8DQlCAZV/qPBn2Bb1OeNoCEcb+DqE8SOKffljaxS+9wcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA3aB/RBKQGoZHJAEp8Wbrn42PSAJS4s3l0cjw+AQgJd4EUSXf3QC45o1JCUgIEC9RQDwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQLf8fBk2xCIUx/IQAAAAASUVORK5CYII=" 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