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<h1>Diagrams of distributions in the style of Kruschke (2011)</h1>
<p>The aim of the script <code>plot_dist.R</code> is to create diagrams of distribution to be used when illustrating Bayesian hierarchical models in the style of John K. Kruschke's <a href="http://www.indiana.edu/%7Ekruschke/DoingBayesianDataAnalysis/"><em>Doing Bayesian Data Analysis</em></a>. The image below shows an example taken from DBDA and Kruschke describes the advantages of this style of diagram compared to DoodleBUGS style diagrams in this <a href="http://doingbayesiandataanalysis.blogspot.se/2012/05/graphical-model-diagrams-in-doing.html">blog post</a>.</p>
<p><img 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mN2qKeM8H1t+kNpKpW7XZCm3K9zShtP1Fcv3rsNkil8FsQZlTtQptTu0IHTYqTyXdbTvRE3v3aoP1h7ZumNRRPeLs1xUtt1VuPia9jWdlT2sqyrIw8em2zErIFeYUsfHr+EX8RwlN3O/L7zWi8Zc0+0z2r6VVdVptFhVl7ePQKsXK9yVuwLqsVc1aPcEu934umL7wLe2VITyJNU1VZ8XOndpjLSGv6K1jI1TSNN1PjUme1CZSLXzrpLupFlB5NYwpuUlTyNnBuFnxNWk30VRRXNFV92cp+J+ksW2YMzauntxnHz6J9091BXkpzTcMCVsrbxZVYP0q7F/Vdf8CNiCwZSc2LhVYc24cJ4THCYl0wcenFjLXSYbXecYaspyISrvJAQgJkaGqka6ngozAestaZVmqmnOULou+sbVcbHAocOjeoy70IZLF+Rx6HAZG/5y5Qw2WpWt9CqmMCm3/Un/AE09/fPpHKXlUzVtdWX8uP8AV/wkHU3UdGHjX5eQ/bx8amy+6zi78KqlL2NwrV3biqk7IrMdvAJnl1V2nPze1h0Xndp15IbjfSC0p6rbRfcBS1KGp8DUEynORzOOcfDfFXLylvCWGp8am5LRW/EtwfjeY3bRxlS+s8uKp+kBpO+MoyLC+WuQ9Na4ea1gGJYlWV361xjZitjWWKtq5S0tX55ABHKo0meEcfFMxbKUU1P6QPTmelItuyLK0fDz6mbT9XqRR3BZiZrP7pWq4fdQD3q1vc+alHffdZaMOaa8o60R6Tr6OdVqqLT2Z+P7pNrPt2wAcqii1nyqass188XLXFuvw63e2irMalMTItpKN3acfIe2vhZuEKPxz4k1bk1087O0R1oonVstMNmoadg5XwV5bUY+ZWyg8EuelWdQCWbtOrvSw3Zu2587gGelTXGFXNNWdM5TH335x/d5FdNWNhb9PbjOJ90g6Z6iXIrLcTXYjGu6pv06rV2LI32jYhlYeHRlYeGE442DOHNonLWJ7mrZsbpabzFqtJhupw4NSkR3Csm4pCVN5Flb3lUGTbgXhdCxAQEBAQEBAQEBAQEBAQEDRZ/WWLW5re5Q6/pIN2YeAfKqCR4I+XzE04ezYlcdWPWIZK9rw6JtM5+EsFuug24x8bLvYEAjsNjj5eeeX7ujKN9ya2f0IAJG0tGz7vbqiPrefKLs07ZePyaZqq8vWXw/J6/KYHN7a0KeS4dZNiuwJKtkWsE7gHwsKFrCK43LXbJxvOLThZYV76b85eUcPHXwUpwMXHm+NlT/ANuPmUvCzDMvViIim0LMmrkrLvtuCP8AEbbznVTfJeJtN3Cr/osq2PplBzjy0zS1wKrBj7cr6srTcyjKKm8gKl2mpyxiX7iOR3U23bV0vWqqtnNo8LJmb1RPLh4tzpvsKuObj6jlZ1d2ZXm+93GjDbGx7ETTcnTaaKaXy8iykIuS1z2WX5JsfcbIpQV897q2Uqi9MxDFwvo4cKaKvfN+zo+p6Ty9325fWNuPb7xt3/h7PY27W57nPfuJts3K09HXR/VbPlZ0iqImmeX9v2af+K9f73jZP1lU4xMrEyae9g223qMfHTGsxkuOoCuvGsrDtWlWPW1dr83fJAKP0jWmZ4OG7+XVRHGbus+zDon6t0/DwO53vdKEp7vDt9zgNuXb5WcN/s5t/fLV1b9W86TOfcyNa6T5v36HOPkgAd0Dktij0S+vcC1BudvKum54OnJt++Hj2jdri9HLj4xP3Dz8XZYmd/Dm1fP+zHr6nyKvhycSzx/zuNtfU37wgIvQ/Mqaiq77Cx9t5acKirOiqPCrKf2+t/opTtGLRliUZc4zXY/tFxWG576f+Lh5dP7/AD3aU/8Av5SJ2XE4RH0qpn2lajbsKqbXm/8AlmPhIsXIV1VlO6sAwPkbgjcHY+R4PzmWqLZS3xVvReH2Mr4J8Wm1DqzHqYpZZxYeo4OfUbjyqkek0UYGJXnEesfLLXtGFRr7S193X1RPGmrKvfbcBMa5VPrttfctWON9vnaPBB9CDOn8NVHbmmI75j2i8s87dT/04mauVpj1ljnQMjLO+YRVjn/odTFufr/xq4bc1I23orAr/SDPkK2wv0uHhZYWc/1zl5U/M5qdBi4+eLlT/wBuPmpLKqwAAAAAAAB4AA8AAfITFMzrL04oiIy0R72ldHfWOn52B3Oz75i34vd4dzt9+pq+fDknPjy5ceab7bbr6ysS0YVfR1733mgXU3sBe7N+sKcxacqpNO91NmKbqarcBNSqZrq1yaWvqyKdSsrNSWY7VlAwtJPw2qqmaomPu7nGWH0ffe/sp0/9H5qcj3qzMFl9mNqtWSVxu2ll+qXYlrXVV9+w01UDESpKC9zuCC1zMCz1jq4NWDGkzE+FlJzxIxOWTDyfo1csW3G9927mg4Oic/d99vc2ub3nj3/Pd723Z5Dhx/nH38dJxJ3pq5/3/dWKepRT/Tf63arM+i1fZme9PqVTkXag6Nbg22ZXZ1CjJobHsyW1HiyYwvUY4px8etK6kRq7T+cXhVTvU7v1db9aauOjtXR/T/umJjYvPue7Y9NHPjx59qta+fHduPLjvtybbfbc+s71170zUz4NEYdO5e7H13pTm/fos93ygvEWBeaWKNyqX1clFqAkkfEli7njYnJuXfDx8tyuL08v2n79WTG2W87+HNq+f9mMvU+TVsMnDcjY73YrC+vwfnWSmQCR54rVYB5HNvBa3Q4dWeHVF/6asvXT2U/icWjLEo6v9UTf01fan2hYpG5a1P3W42TS3/621I3y+z/+yP4XEte0W7qqZ+XWnbcKcomf/Gf2b7CzFsUOp3VhuDsRuP7iAZlqps201bzIkQtM2Q85mVk23ii0Y9NDdpHNS2m64KDYSCw2pQsKtl4WNYlnxKAnPdbDw6ImuL1Tnra0cNPPuyeVv42NXVTRO7THG0TfmytA6icucbKVa8lQWXgT2sisEDu0lvPjcCyk8nqYgEurVWWUxMKN3fozp9Y8XXA2iYno8SLVek+EpNMj0VYCAgICAgICAgICAgICAgc71TQ9fNlhp1PR66S7mqu3Qs261KyxNaWWp1FQtrquwaxaKVcgkV1g8QRaGOOn+pP2tof3ez/xNBaIPyf6k/a2h/d/P/E0LH5P9SftbQ/u/n/iaBX8n+pP2tof3fz/AMTQH5P9SftbQ/u/n/iaA+oOpP2tof3fz/xNCD6g6k/a2h/d/P8AxNAfUHUn7W0P7vZ/4mgPqDqT9raH93s/8TQKfk/1J+1tD+7+f+JoSfk/1J+1tD+7+f8AiaEZLW6e6k/a2hj946eztx+8b9TEf4ybq7sco8nQNHptWqpb7EtuWtFutrrNNdtoUCyxKTZcakZt2FZtsKAgc323MLM6BBOpNI1t7nbD1DSqMc8e3Vk6Nl5Vy7IofnkVa7hpZycOw2xquKsqnmVLuRaGu/J7qT9raH93s/8AE0Fo5H5P9SftbQ/u/n/iaFlfyf6k/a2h/d/P/E0Cn5P9SftbQ/u/n/iaBX6g6k/a2h/d/P8AxNI0QodB6k/a2h/d/P8AxNAr9QdSftbQ/u9n/iaSH1B1J+1tD+72f+JoD6g6k/a2h/d/P/E0JU/J/qT9raH938/8TQH5P9SftbQ/u/n/AImhGR+T3Un7W0P7vZ/4mhFo5Qnmi49yU1LfYl161oLra6jSllgUB3Sk2WmpHbdlrNthQEDm+25JZ7SYVq0lGfZ3UBiVsPHda6/+833WXE/7zYT58+fPmatr/mTEd0ekMOwU2wYtzn3lmdSdOrkIBua7UPOm5dudNoBCuv2+CQyH4bELIwKsROWDizRflpMdzptGD0sWjXmx+muoWcvReBXlU7dxRvxsU/o30k+Wqc+PtrYFD5UFr42Fuxv0dmfuYnv94zU2faN6ejr7cfd4SITM3akJJHcjvUiTUjKTQgIF0lJAQEBAQEBAQEBAQEBAwdX0lL6baLQWqureqxQzITXYpRwHrKuhKsRyRlYeoIPmBwkewfWdL3bp/W7HpG/HSde7mfh7bDZKc1SNRxVGxA3syUHI/AdlAC+v6U74DCrqTSsvRjvt7/XvqGjOSwVT79jpyxy+4PDKop47kFjx3gds6c6oxsylcjEyKcqiwbpdj2pbUw/2XrLKf8YG1gICAgICAgICAgRDU/a1pdOR7pdqOFTk7gdizKpS0My81Qozgh2T4wn6ZT4gNvMrE3TK7qPt6lp2ZXh5Ibv4+VjV5GLf5ruKPSTXdS26W02/NWDI6/IiW0ViUZ+i/wBbNqPT2j5bsXtswaa72Y7scnHHu2Vz388/eKrAwPkMCD5hLqcBAQEBAQLX9DJhWrSfBE/ZTeX03Ac+r4mO7bem7VIx2/duTNW1ZYtXjbyeZ+GTfAiZ1SzeZHqRLRdT9Nd9VZHNWRUedFwG5RvmrDdedNg+GyvcBh81YI698HF6ObVZ0zlMT968p4MW07P0sXpm1caVKdN9Sd3lVavayatu9TvuNjvxtqbYdyizY8LNh6FWCOjot8bB3evTnTOk/E9/vwV2baN/qVZVxrHzDfzI9Bxn6THtXs0rHw3W04dOTmpj5epHHbJr07HNdljXtWFdQzuiY9b3K1KPaGcMF4nnf8yIXtHR1S+3sO1zIyHybU1rH13SmSk4mYPc/eq8kGwZOPf9X0Y+Ma1Tsum9SWhncMNgpmiaYinOM+fNw3rz1dUl9uPXDabo+pZ6HazFw77afAO9wrYUjiQQeVpQbEHff0mbEvNPVm0tODTE12nRyHqbM1nTE0JjrmZnZ2dnYGNfp+TjaOKLq7QG1BqxiabiZdS4tQtuWz3hwnBQ3Pl50026eKKuxabzHdDLf8qqrl+70vOd87OnCJXyUkBAQEBAQEBAQEBAQED5217gjcjcbbj1G423B+2VmCJc8r9huMoIrytWr5ja4jV9RfvD9YsLsiwVu+53toFNvoA4AXa0SmZdAOMvHgRyXjxIbdt122Iblvy3Hrvvv85KsQ4r1L9EnTWubL0x8nQc9jybJ0iz3ZLW3J/lOEQ2FkqSSWFlHJ9/0/nIWu1y9U9WaR4zMLH6kw19cvS+OFqiqB5a3Tr392yH8emLkVk7/wA2NviITD2afSU0bVbDj4+UKs1PFunZiPhZ9R2UkNi5ArtbYMu7VB0+IefMDqUBAQEBAQEBAw79LqZXRq62Sw72KyKVckAEupGzHYD139BA+mLiLWqoiqiKAFRFCqoHoFUbAAfYIHDfoofyca7pfgfVmv54pX7MXUCmp452+W3vllf7+3v45bAmXeoQQEBAQKQjgx82zZGI9QpI/vAJlsOM4UxezLS+z6gJg4aqNguNQAPsAqUAf4TrtM3rnxZdioinChIZnbgiEatH1F053uLo3ayKtzTcBuVJ25I67juU2bAWVEjlsCCjIjppwcbcynOidafvixbRs8YnWpyxI0qY+hdWcn93yFFOWoJNe/w3KuwN2Ox/nKtyNx+nUWUOF5KWtiYNo36c6efGO6Y5+k8HPB2uL7mJFq+XzEox13pGtrnUZem2Yd+OMeyjI07OyL8SpnZ1evKqyMfEzmFqAGo1vjspRvDKR5w0znVFXG1u6z05iJ3Zjhw530RPo/oHO0h7sqvHw7cvWtWxWz6MRL0xMTFWnsu1DCv85bUiG6zIyFxlvd2Gysaa36RNoow+EXvV7fs5VRNqsTjlaPC3H1S729+zW3V8FMBDSKrc3BfMW4sFswsfKqyMmpQqWc3tSrthG4KQx3YD1pFoxaZqi9OeXs671W7O7NqkZP0asPH1rSdR0zB0zTqcOvPXNGJQmHdke8UpXjoUxqFqurRudjC51KMKyu/xTpRVbe71Z0dwMqQrJSQEBAQEBAQEBAQEBAQECkAIFZEyEkQn2lexrS9XrFepYNGUFB4O6bX1E/OjIQpfQ3z5VWIQdjvA5ifYvr2lHloWtNl46kn6q6g55de2+/DG1OvbNoAXkiC4Zajdd/CbEl9cf6Vy4bCrqLTczQbCwUZVgGbpFjMxRe3qWKGSvkeJ2y68YgOoPnlsLO3aFr9GVUl+LdVkUWANXdRYltTqfIZHrLKwP2gwhsYCAgICAgIHA+mF90601SrYhNY0XA1BT+q9+m324F4H/wCQUX4m/wBqcf0u2eBLvkIICAgIFIRDD1i3jVa39Gtz/gpMvh6w54vZlhdH08cTGX+jRUP8K1Evi9ufFy2em2HDcCcWngRp4HfARI0Gs1vp+rJThcnIA7qQSjo2xAeuxCr1WDc7PWysN/WdcPFqozjXlw+vBnxsCjFiaao/fzaM2ZmJ6hs6jx5XiuXWNx5ZfhryFUbkle3bsAAl7Hzqno8XS1M/6Zn49mKOmwL361PrEfLd6J1JTkqWpsD8Ts67FXrbb9GytgHrf/ZdVb90z4mDVh5VR8+Uw14O00Y0TNE+eXpLabzg1ZKyJSCSKyQgICAgICAgICAgICAgICAgICAgIHwysVXVkdVdWBDKwDKwI2IZT4II+RgcR1n6JGAlrZOjX5XT2W55NZpTivFtYb7e86bYHwLl8+goRz4+PxCbsD8ueqdI8alp1WvYi/8ATtFAozwo2+K7Sch+NrHySMPIbb5V/YE79mv0htH1Zmqw8xPek3FuDeHxc+or+kLMPIWvIHH5kIU9NmIYEkJtidQUPdbjpajX0CtrqQw7laWhjU7J68LOLcW9CUYb7owAbKQEaCskIH5mfTr9r3U+kdQ4b0rjKDTm4+jZtNB7ltOoChLsfIWyyylsrEurqNRFaJ8S2Mr9zhWWh+j/AE5prU49FLu1r1U1Vta7F3sZEVWsdmJZmcgksxJJJJ3hVtICAgIFDCGt6kP8nv8A/Bs/9hnTCvvx4uOP2JOnB/J6P/Cr/wDYsYk9eUYGVENkZyaEZ6q9o+nYBRc7PwsNrQxqXKyqMdrBWN3KC6xC4QeWK78R6yYzm0a8kxEqj2kacclsP3/COYlfebF96o94WoKHNrUc+6tfAhuZXjxO++0rfjGiIj/lqsX25aI5VU1jS3L2pSgTUMRi91g5V1KBcS1ti+UrHxOPIBl7TM96u9bPgrne3HRa2tSzWNLrejl3ks1DERqeFhpfuq1oNfG4Go89trBxPnxKxp3LVRbKdWP1XrOkG7GS/NxMfMyVHuTDLpoy71Yjj7t+cV8itjt+bUWVv43Vpqoxqqb0xnHGmc4YMbZsPEp6TSeExk2Ysz8ffdVzqxvsV4Y+UAANgVYrjXMTv8QfFUbgcPUzrbBr50z/AOVP7x62Z77RhWjtxz7MxD6j2hY4JFouoI2379F1aDf7Lihob088bW2+fqJEbJXV2bT4VU/vd1nbqIyqvE+EtvpPUePkDlRdVcvryrsRxt8jupImarCqp1ifKWrD2iivsy2PKc3bejnCshZSTcVEre+grLBAQEBAQEBAQEBAQEBAQEBAQEBA597UvYdpOsIPrHApyrKwTTcB28uoghh7vlI1d9LclUjhcg3A39IS8GUfRq6+xNd+uNP32qPYx69Q1arLtfT1dmTDzLfgORXsf1t3r+EiwtWlkD9Hel86+3Hpsycf3XIZAbsfupcKrPRlW2v4bE3G6v4JUjdUO6CJmyIa9PaNgnIXFGVUb3eypE3Oz3VKXtoV9u22RUil3oDm1FBYoAN5MZolJ4SQOTe3HSdEzBjUarbUjYeZg6jUzEcsayrJQ1Pa+zLRRksrYpa7hXYHZQeQBVA6wIlCsJICAgUkaDTdYYzPiZKoCzNRaqqPUsa2AAH2kkCd8GqN6PFl2imZolscFdkUH1CqD/fsJyrm9cutGVEMgSHV5W+lFpGcL9Rqw8F81ta0ZNN+PHznrosrszOBruxMHMx0Zjlg2JqFum0DhVYMi3a1Kows6qqfX6S0RXFO5XOkXy8WVqX0e9XszKrueEaaM+/KT+V30h6srBycNlbBp0/3dMmnvgnJe/JsyuB3fG57KtamKO/OXCKsqp56RyZdn0Zsr3O3HRsJXbpnTtGrINgVcnFsvstfcUbjHY2VlWC9wlTvWuwJ0VYkTXVPP4v+7hFN8LDpnWmZv9bWb7pX2C3024djnEPY1LqDNsK8yzLqz5Jx+JNI3tVLa1t3KheJCtYAu+bEjq2jg7VZ4018EAzfoy6yMPGxa7MBhTp2kY7MMvJxF940uzuFLBTp1lmbRaw2rsyLkGLuxXFsJbfvVXTOLNcxaPfJNedO76PWNZO3nYH57Hcfv2Ow3/wE4znp5qRe2fkuCxbxIp7oajVuj8W8g3Y1FpBDA2VI5BHkEFlJDA+dx5nejHro0mfNlxNlwsTtRn5Nf/B5QDyrbJqO2wFeXkCsDffxSbDTvv8APt7/AC9J1/i65zq3Z8aafezj/AYcdm9+e9Kq9N5ab8M+xvsGRRRYo9PH5lMZyBsfVyfPr8pMY2FPaw4vziqY9M4ROz40dnEy5bsT6r8JdQQqLDiXryHNlF2OQu4DMqMckFgNyFNgBOw5L+lOdU4c6Xie+0/t7OmHGNRraqOeiSCZ9G2940+i6FiAgICAgICAgICAgICAgICAgICAgIEZ9o3WCafp+bnP+hiY12Q37+1Wzgf3kgD/AHzliX3cnTDp3piHlTGc6NndNUZT36hw0/JyrMJK8cnG1XKbGoryMXitDG7Py8vLpBz8iytO5dYHx1rsYaqd2a8SimOtFrZ8P1ejhNU1U01TlEzn9NHpDD9qxuxnvx9Nz8i+rIbFyMBG06vMxrlUMwtORqFGGwCtW3KnLuDpbWy8wSRwmcomM4nj5/MStFpmadJjh7NJ9Hz2iZmdh1HK0/OoPCxvfMmzTWquIvdQla4mfkZAZV8b249afAfiPjk1pvKIvk4N1iXyMV9QFtlq631RTinTeNT06jgYuXVgqj7VHL4VY+BfmgUX11lHs7tdykiWwcqsOirTO8+dl8TKK5p4WtPflf5eo/Zv7TMfU0yHxq8mtcbJfEcZWNbh2GxK6rCRj5C15CJxtUDvVVOdiePHgzTVHV3p45+sx8OMVRvTRGsW9XnT2gdZ5FvVP1ZjanlU6bqS0YmddXZfxxNRxK7clsDT8gPwxMvOxOIvNOz1hdwVusQpXZ7TM73Z/THPn5O2NNqKbax2p5ROmT0/0trPeWwr2WrrusorenJ965rQe25sfiO3elq2VWVFrCjIeT8iyrbO2eU8nOO1McG+kLkBAw9Sw2srsRbbKGdHVbqhW1lLMpUWVi6u2kvWSHUW1W1kqOVbjdSEA/gnz/7T65/l+m/w9AfwT5/9p9c/y/Tf4egP4J8/+0+uf5fpv8PQH8E+f/afXP8AL9N/h6A/gnz/AO0+uf5fpv8AD0B/BPn/ANp9c/y/Tf4egU/gmz/7T65/l+m/w/AfwTZ/9p9c/wAv03+HoD+CbP8A7T65/l+m/wAPQH8E2f8A2n1z/L9N/h+A/gmz/wC0+uf5fpv8PQH8E2f/AGn1z/L9N/h6Bm6J7Ocyq6ux9f1bJRG3bHvp0JarRsRxdsbRce8Dcg71XofHrAn8BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAhntT9n31pi+5m7tUvkYtmQO2LO/RRfXfZjbFkCDIFYqZ/j2Rm+E7ytMWxIrnOIv1eEzJeYid2bVc0f6v8AYrj+7gaXiYOHkVZmJnoEoTGpyLsS1XWvJbHpLhbKw1Xd7drVcgwSzhwaIp3a4r8Yt/muiY3qZpq8/Bt/ZZ0ZfirmXZXaGVqGY2bkV47vbRS3Yoxq6qrbKqHtC041e9rUU83LHtoNhOt+rTRGkXz8ZmflX9cz4ZeDfZPTYTEsxsQpik1WpQ6181oewNxs7fJOYV258OacvTdd95xxKd+N11ondmOSN+zT2I6bpdWKuPiYoyMbGrxjmjGpTKtCIiM9lwXuE28Azg2NudvXYTrVXeZiMnKmmbdbOWV7OujLcS3VHtathm6i+XVwLErU2Li0hbOSrtZyoc7LzXiV+LfcCKMsOmnjGXnMz8qbtsSqvhNvRtG6AwRWla4WGEqvOXTX7vSK68ssz+8ooTZLzY7OblHc5Mx33JlJiYtu5Tw+XaetFp0nX6aNf7IejbMDTsXFuZHyERnyXqLGt8m53vyXQuqMVa+xyCyIdiPC+k7YlUVTkiIsmkokgICAgWMwHk+APX/7gWVZKsAwYFT6EEEHf02I8GB9oHGPaB9JrFx8g6dp1FutauPBwMAqwxzt4bUMs/yfBr+03N3PsraBqdA9ieqahfTndR6gSaLq8jF0bS7LcbTsa2qxbKXyb1ZMnUbqmVDvYUoDg7VEHaB32AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICQKGJkc0f2q54JA6a1sgH1GR05sf3jfXwdj+8AxTN01Q5R9MLPe2ro2x6bMd3616fZqLjS1tRIy90sbHtvoLD0JqusT7GaWtCtOb1FK6kknQ1VhJAQEBAQKQNbr3T9GVU1GTUl9Fm3OqxQ9bhSGAdD4dd1G6MCp9CCJSyXGPaBq3S+gXUs2HjjPd+eHp2nYy2ZmRftsLKMCgBe7tv/KrETgN97VnSJRMNX+R3UXUJDalc/TulE7jTMC4PquUgPj37UU+HESwD4sbDBfg7I1u43CSHZPZ37MdP0nGXE07EpxMdf1Kl25N6c7HO722H52Ws7n7ZAlUBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAoRImBzR/o/4BJPf1vySTt1N1GB/uA1UAD9wG0mIsTVPFxv6ZV2Pip0fji0/mOsdBfa7IsyL+zX70DZZZfZbkW7bje213Zj6kmdIw5q+7OHTUU5f3epcHPS1RZW6ujDdXRgysD81ZSQR/dKzG6vh4kVxkypTVfirJSQEBAQECL+0H2mYGlY7ZWoZdOJQPAa1tmdvklVY3susPyrqR3PyEEONDrHqLqHYabS/TulMfOpZ9Ktq+VWCNzg6c+6YiWAEDIzSbODrYtQI2hLovso9gWm6OHfGqe3Lu2OTqOXY2VqOUwG3K/Lt3sbwB8CcKx8kEIu6PArAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAjnV2uPWqU0bHKyCUoDAsqbDd77FBBNVKnkRuvNilfJTYpmrAw4qvVV2Izn4jxmXn7VjTTbDp7dWUfLzp9LjpqvGXpILuzv1zoD3XPsbLrCMoGyxgBu2wAAAVUUKihFRVWmLjTiZzpwiNIh02fZ4wY7+My71enuWUrr4xsx+3Yo8LVlHzXaB+qMjY1v8mt7J23sctopjp8KY/VTnHOaePlr7Mk//AB8WJ/TVlPdPBMgJ5+uT1u9dJSQEBAwdW1inHqe6+2ummpS9ltrrXXWo9Wd3IVVH2kgQOB3/AEhNQ1ljT0rhrdRyKWa/qK206XXxbi/udOy5OpWDZgDWKscOF3tKtvAkfs8+jLi42Quo6jfdresDz9YZ4U9g7bEYGIo92wK/3Upz8next4HZ4CAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgUJhEzaES6Tp71t2a3o5NGNv+rj1MQzD/AMxaGs5D9OsY/wDQE3Y3UiMLlnPjP7Rk8vZo6WqcadJyj6PCP/Cf6jrWn5ujZuJk2tgnNxsujGauu5MfWtP5+7WV81dwLqbDtjD81Y9VrFHZ/GHXJ7EaPaXs56Jy/qXHxdUyLMjPsx1fMyGILDLs2tc1bKqIuPaQtQrRFUVqeIO864OJOFiRVHD79smPaMKMXDmmePwlXRuttdSO4AL6manIUeAt1Z4sQP6Fg2tr+2t0PznTHw4oq6vZnOPCfuzlsmJNdNqu1GU/CQTM3ECCe2H2yYOh4gy86wIj3VY9KAr3L77mCpXWCRuQOVjn0StHc+FgQTq36UNdl9mn9P4r69qVbBLvd3Fem4JJ2Jz9SYGisrsx7FPevYoV4KYGHo30aLs+2vM6pzBq16MLKtNpVqdDxHA2+DEYls1x6i7ONh+ytdhA75j46ooVVCqoAVVACqANgFUeAAPkIH2gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICBbCJRvrjVHWoVVEi/KcUUkeqFgS9v91FSvb+8oF/WE17PhxNW9PZpzn4j6zlbxeftmLaiMOnt1ZR8+jdaZpy1V11IOKVoqIo/VVQFUf7gBM1dVVVV2zBojDoink0nXPs9xNRSivLqFq42XjZ1O+3wZOLYLKnG4Pz3Uj5o7D5yukukXhJYzMkSzK/ds1bh4qzAtNvjwuQgJosPpt3E5UM3zZcZZspnpMLd405x4Tr65vLrp6HG3o0qynxjRKrH2BP2efA3P+4DyTMMz/wAvViLw5N0Z7WNUzNSycX6oppwsW5absx9TDZCs+MuSinCTCZDaFspFiDMIr7g+NyGWXozoiry+iK5tM0xm4T9KH6Dur9Vaj7xlazj4mDjg14OJXjW5HarPEvbZyux1bIuYb2EeAiV1gsF3kLQ9EfR79ktmh6ZRptmVVljHBWu6rBrwN1J3+Oqq2xHff1t35v6sXYs5DpkIICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIFhiIvN1Zm0XnREumz7zkW5h/mk5Y2Lv/RV9si4b/wDbXIEU+hrpRx4s87cX8qiMOO1OdX+2PLOe+XmbPbHxZxv0xlT/ALktExaZvUtMuO9de26zDy9WUJU2JpGjDPyGIc2tmXtccbHVg4UKasdyydsuTbTsyjw3PrTFUx3bvy67udMc73+ie9IazlPVirl0cch8Su7JtpVVxEyNkFlCK9z5APJmKAhxwU72b7A9qoiKp5R9yyUzNVMX1m/o2fUmiLkUWUsSvMfC425VupDV2Lv+vXYquv8AtKJfCxJoqir771dowelw5pnz8GN0lrRvp+MBbq2NWQg9FtTYNtv54P4srJ/SrdD85baMPdnLSc4nun7s57Ji79Fp7UZTDVdE+zOrBvzb678q052Q+S1d9qtVQ9nHmuOqonFGKqfzhscbABwoVRwpndw4ojSPn/lrmN6vf46eSZQsQKwEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBApImbZIiOKkCLdaaix4YdLFb8ncFl9aMcbC6/f9Uqp4VE+tz1+CA+23AiInpKo6scNLzwj9+55u14kzbCoyqnjraOPokGBgJUiV1qFRFVEUeAqqAFAH2AACZaqpqmZmc27Copop3adGRvKTyl142cYwPo2YuQ+o36snvGRqN794UZefTQcWmzbT0NKZFVXvGNQlf8oWtbUsL8bNvJURuURTHBNc71V/08I90i6A6Ksp1HVcqyrt12e44mGTYLGsxMXHNhtY83cM2Xl5YbukWOU5kHkGbpvXpi+vGPZzteYjhGn11S7qPqmjERLMiztpZfRjIeLvvdlXJj0JsisRztsReRAReW7FQCwpT16t2NZzt4arzOUzwabqEe6XjNH8xYFqzR8lUbirK29B2i3C07fzLBydsdRN2FPS09FPajOn5j5jveRjx/D4vTx2Zyq+JTBH38zBa2r1aaoqzhdFolOYJOhE3VhJAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQLCYiOKt40lG9e6vCN7vQoyMsgEUqdhWG32syHG4pr8Hyd2fYhFc+JrwsCZ6+JlRz590Rz9Hn421bvUw88Tl8zOj7dM9M9gO9j97IuPK64gLy2341ovnhTXuRXWCdtySXZ3dox8bfm1OVEaU6+c81tl2boomcSb4k5zV7REIn7d9OybsbGqxnzENmp6at7YVl1VwxTl1DJJtoIsrq7PPuOCAEJJK+oxUxfGpv2bT52m3q24lUxhVTTHWy94v6OP34GbTa2PmnqFtJoydUrx3w7NYvzms5YT6f3cjEZ9SyMUI+atdt1lmMWUC9yEqkUXqwb1fzb5eF/LTmXnpP8A6Wi/jZqcPpXXrcXLtzLtZTOOT03jBcfJzK60ocaQdUtx6sdhjk7jJGRfWjpXxyACge7ns6u/Tbs2m/jbL1aKJiaYt5NovTeq4dvdxm13INer6lipVZm52QraZ9VZV2P4zXvx23zxUtWoZKW2CwpV3WT81Mu9+VH9XHnrPxZFMRNWJfhbd8eKJdP4uqWlqWq1e7GfK6Yy6hl0a3Ya7qdZU6ke5qym5DVUtNli1pi43bU21UqgtsmrB3YxYmNIiYzyzqhwxpthx/VOsR3aPa1tQYEEAggggjcEEbbHf1BmeJtVeNUVUxVFp0Q6q19P+Bg9uD+o6hntxAf1LFG7WY6+i2KGapdgw4qbBvmI2jlFfLSKvDhE93HxeZedlndznD4Txj+3sleDqNdqK9bq6MN1dGDKwPoQwJBExThzTNpelh41NfJlSl3Sy6SkgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICBaTI8UOOdT+0+lb7azkdQ1du1kZcbprVb6SUYqwTIXQ8hbqiVPG6m5ldSGWxgVM1UYlER2YvzmZ9omGDEwMaueriWjlaPlgv7RtMbY3L1NcR8m0LqlEO+/wClXRpdVbjyfDIR+7wNrxtNUdiKY/8AzHzdE7FRV/MmZnxn4bjSfbPpVC8KcPWKk3J419LdRINz6khdJHxH5k+TM9eJVXnVn9WrDwaMLRn/AMYLA/q+ufdjqX/SZzdz+MFgf1fXPux1L/pMB/GCwP6vrn3Y6l/0mA/jBYH9X1z7sdS/6TAfxgsD+r6592Opf9JgP4wWB/V9c+7HUv8ApMCv8YLA/q+ufdjqX/SYFP4wOB/V9c+7HUv+kwiYujeb7R9IZ2sTG16i1iWazH6c6npLvsBysVNKFdzbADe5H9B9k1UbRXEWm008qoifdgr2HCqnpIvFfOJn20W1e1ukf9J6kbzv8XSmsEgfZuugLuB+8E/aTJ6XD44cX5xMx8qxgY1v5npDrvTWoC3HptVrXW2tLFa6l8e1ldQymyiyqmyl9iN67Kq3Q+CqnxM0t9MWbWUiFySEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEC2EBkZQWV2k3IJArJSQECC+1L2uY2kfV3vNd7/Weq4ekY/YWtuGTm9ztWXdy2vjQvabm1fcsG42rf5BOoCAgIFsiZkN4sjirJSrAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQKbysyWfGnKVhyVlZfTcEEb77bbjx6+P75YecPpuf9Uf/XGgf/KhL0tCCAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgYOsaPXkVWUXILKrUauythuro3hlYfNWBII+YO0rMJiUSxvYdo6WLZXpmFUyulm1OPXSjWVkGux6qgldj1lVNbWIzIVUgjiu1rock+m5/1R/8AXGgf/KhLvGvYec1mMcXIxaaVffLryMO7Jtvr5IeGNbXn4i4r8RYO5bRmLu6Ht7VslpDH9w1L+t4P/Hu5/wAn5H/Jv9U/5T/49/3h/Mf93wJNAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEDyl9NXqvFa7pfHGRT7xj9a9PPfT3U7tVbjKZLHQnktbA+LCOB2I33BAJh6Y6f6kx8uvvYt9WRTzsQW02LZWXqdq7FWxCUY12K1b7E7OrKfKkAhtYCAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIHgf8A4Tb6Ml+q2aRqGDVzynyadJv4gn81lWn3S2zb0rpvexHb5C9d/CbqTD2l7OOhKdMwMPT8cfmcPHqx039WFahS7f7djbux+bMYQk0BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQLZFuCO9xH2je3l9N1HLx76q3xatHqz8ZURzk5Gac1sVcVSXKMbbXxUqUVq4ss3LEfo88OZxJrpjWLeU3XrtTuTzvE91rW93R+hNZyLKa680IM+umh8xaKb68VbblLFMd7i4tVCrKeN1jDYFgnNVmmqIjKNHCiq+cpPObouhJAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAtMjnKPZxDVfZO+pdQ4uqZeJZj0aPTfTidy2l/f77rK3XJ7dF1vDHxhUGqGRwua6zmaq+wjPbAmMOK5jtVZeSMWJqmmmOzGc+mSX+yP3phqN+V7wpv1PL7FWR3B2sbHK4lPaSz+bpuGOcpeICP3zYN+e5im8UUxOud/OfixVH5lVtMvbP1dAkJXSUkBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAtLj7RJtKk10xrMfWYBYPtEWkiumeMecHcH2iLSb9POPODuD7RFpN+nnHnCndH2j/GLSjpKOcecKmwfaItKd+mOMecKhpC0TE5wBhJsiKonSY8wNFiKonSY81OY+2LSb0XteL8rrpCxAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA86+2DTKfruktgpmG3BAdTWrgE5dNXesDEEiqtioKh2G48bciPsfwyaqtkqje3YirXjpM7sTaeOeduPg/NP/AFDRT/GYV6ZqveJiKpj62iWBf0dVpmo7UIr2Y2h5F9b8EDm5LGVX2H64Q9vf+j4nSdrq2vC61opnEiLcLWjK9tL525yzV7FTsW04dNEzNUU1T2p1nTK/C62rpTT00zTMu9rUybrsTJsykouyrL7i6XGm41/ERY5CVh/RguwJG0mdox5x8TDw4jciJjcyptTH6om31me+O5SjZtm/gKcXGrqjEqqzrvM572Ubt/oyMjprF7XVJNNW4Z2BKLyH8lS9T5G4/Pb2D/b8+srOJiU/wsxxv9c4vd06DCqr2uKr2tRbrTGscM0Jy9CxaHs303vj6ixriK66h2bW7nK9+boyt8IJasPZsPSenTiYmLTEzXEfmTGcaxH6Yy+kRo+dpwKMKvKiqrqxlvzFpm3W1+rc9VaWqW6c5xE1S76lLMSq2C562pC3sLCtloUEgcQ1pD+F9Zm2erepxYmrcjfyyz49WJtMRn9Gv8QiaJ2W0b8zFV+vMZcL58I9nfOhOmKKcE4+LdvVyyQllZQ9p7LbS6oU+EGixmQD9UpsfIM+S2zGrxMbfrp62V4tbS3Cz9N/C9npwtn3MKrq25311zcWrufB0vqEUPbvXqL1CwuzW7OuKjuXPkvxZjy+37J9PRTTtO07P0sRETRfS0ZRVb1fD1VVbHg7X0UzMxVTEZ3nrTnDoPseSmnJzsZcdsSxBjWPSt/exyro4S1Pgr4XPxPeBB3YIeT+s8n8SpqmijE3oqpm8RVu7s5TOUxfTk9z8ExKKcTEw5pmmq0TN696M419UZ1bQacfVMC6q1mbIz7jdntZW/JmrsA04Cslgo4rxR1CJx/S5eJrwsWcTZcSmrhTFsO3+q82+7a5MW14FGF+IYWJTVPWmb13nutG7/bi9AifJP0WNFYSQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAjGT7P8V8tc5ks95ReCuL7woX+j2hYKip8Eg17EgE7kAzZG141OF0MT1Nd20a872v6vLxPw3Z8TGjaaqfzI0qvPtopZ7OsQ5fvxRzk8SnPv38OBXiU7Pc7PAjzx7e3P49uXmTG24sYXRRPU13bRrzva91cT8L2fEx/wCIqpviRle86T3Xto1i+xbTeQIxyAtq3IgvyBVXaj9xXrpFvarPPyeCKDuQdwSJ1/xTaNN7hbs03tymbXZqvwLYqpzo43tvTa/hdl657LMDJtN11HJ2Ch9rLUS1U/QF1aOtd4X0AtV/Hj0lcLb9owqd2irLO2UTa+tr5+VnXG/CNkxqt+unPLO8xppeIlVvZdhHIsyjU5utrNTk35BRqipUp2u72gnEnZQgAJ3Gx8x/H4/Rxhb3Vid6ItHa53te9+9H+DbJ0vT7nXta950tbTTRrU9hmmg1lar1NVfarK52cpSrflwUrkAhd/l+4D0A27f4ptM3iaotOc9SjOec9XXvZP8A27sEREdHpe3Xq468Up6a6YpxKVox1KVKXIUu9jbu7O5L2MzsS7Mdyx9Zgxtorxq97Em9XO0Rp3Rk9jZdjw9lw+jwYtRyvM6985tNpfspwaVyESlimXv7wtt19y2E+CSLrLAGI9WXYnYefA20V7fj17u9V2comIiLRyyiMu6WSj8I2TD35ijt9q8zN/OVcT2WYNalVqf4rarmZr8h7C9H8zyte02MiegqZzXsSOOxMrVt2NVMXqzi8RFotnrla3jOqMP8I2XDirdpyqtfrTw0zvddj+y3ATI96WgC7m1gPOzti1xs1opL9lbSPWwVh/3y07fj9HOFvdXSYtF7R32v681v8I2Xpox93r87z7aJbMD2FYCAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICB/9k=" alt="DBDA diagram"/></p>
<p>In order to create Kruschke style diagrams you need pretty pictures of the different distribution you have in your model, pictures that you later can stitch together in some drawing program (for example <a href="http://www.libreoffice.org/features/draw/">Libre Office Draw</a> or <a href="http://inkscape.org/">Inkscape</a>). The script <code>plot_dist.R</code> (written in <a href="http://www.r-project.org/">R</a>) helps with this and to create a diagram of the normal distribution you would run the following code in your current R session.</p>
<pre><code class="r"># Reads in the functions plot_dist, plot_dist_svg, plot_dist_png and a
# list of predefined distributions called dists.
source("plot_dist.R")
plot_dist(dists$normal)
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-1"/> </p>
<p>If you want to you can fill in the parameters yourself in the drawing program later but you can also make <code>plot_dist</code> draw the parameters by supplying a character or expression vector.</p>
<pre><code class="r">plot_dist(dists$normal, labels = c(mean = expression(mu[j]), right_sd = expression(tau)))
plot_dist(dists$normal, labels = c(mean = expression(M[0]), right_sd = expression(T[0])))
plot_dist(dists$normal, labels = c(mean = expression(M[1]), right_sd = expression(T[1])))
plot_dist(dists$gamma, labels = c(params = "S, R"))
</code></pre>
<p><img 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" 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alt="plot of chunk unnamed-chunk-2"/> <img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-2"/> </p>
<p>The image below shows the distributions that are currently implemented which covers the univariate distributions in <a href="http://mcmc-jags.sourceforge.net/">jags</a> and some more. I am not overly familiar with all of these distributions and I was not sure what was the most “canonical” shape for some of them (the generalized gamma distribution for example). If you have any feedback, questions or suggestion (maybe on what distributions to add) please don't hesitate to contact me (<a href="rasmus.baath@lucs.lu.se">rasmus.baath@lucs.lu.se</a>)!</p>
<p><img src="data:image/png;base64,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" alt="The implemented distributions"/></p>
<h2>Files</h2>
<p>The file <a href="plot_dist.R">plot_dist.R</a> contains all you need to get going: the functions <code>plot_dist</code>, <code>plot_dist_svg</code>, <code>plot_dist_png</code> and the list of the predefined distributions.</p>
<p>If you don't want to bother with generating your own images you can download png and svg images for all the distributions <a href="distribution_diagrams.zip">here</a>. The actual script that generated the images is available <a href="create_diagrams.R">here</a> which might be useful to look at as it contains many examples of how <code>plot_dist</code> works.</p>
<p>I've also made a nifty template you can use together with the open-source <a href="http://www.libreoffice.org/features/draw/">Libre Office Draw</a> that makes it really easy to make Kruschke style diagrams. Download the template <a href="krusche_style_diagrams_template.odg">here</a>. A file with some extra distributions for Libre Office Draw is available <a href="extra_distributions.odg">here</a>. I also made a short screencast that shows how to use this template:</p>
<p><a href="http://youtu.be/uSJ2S900UHA"><img 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" alt="Screencast video link"/></a></p>
<h2>Plot size and output format</h2>
<p>The diagrams produced by <code>plot_dist</code> are made to look good when being around 2-3 inches wide and 1.5-2.5 inches high. If you want to make larger plots you have to play around with the scale parameter:</p>
<pre><code class="r">plot_dist(dists$beta, labels = c(params = "a, b"), scale = 3)
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-3"/> </p>
<p>However, if you just want to make <code>svg</code> or <code>png</code> files to import into a drawing program you can use the convenience functions <code>plot_dist_svg</code> and <code>plot_dist_png</code>.</p>
<pre><code class="r">plot_dist_png("bernouli_dist.png", dists$bernouli, expression(theta))
plot_dist_png("bernouli_dist.svg", dists$bernouli, expression(theta))
</code></pre>
<p>As svg is a vector format you can then scale the diagrams to your liking in your drawing program.</p>
<h2>Diagram customization</h2>
<p>In order to know the label names of the different parameters you just look at the <code>labels</code> element of the corresponding distribution. For example:</p>
<pre><code class="r">dists$t$labels
</code></pre>
<pre><code>## $mean
## [1] 0.5 0.3
##
## $right_scale
## [1] 0.75 0.65
##
## $left_scale
## [1] 0.25 0.65
##
## $right_df
## [1] 0.90 0.35
##
## $left_df
## [1] 0.10 0.35
</code></pre>
<p>Here we see that the t distribution has five named labels and to make a diagram with a \( \sigma \) to the left, and a <code>df</code> to the right we would write:</p>
<pre><code class="r">plot_dist(dists$t, labels = c(mean = expression(mu), left_scale = expression(sigma),
right_df = "df"))
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-6"/> </p>
<p>You can also change the color of the diagrams using the parameter <code>color</code>.</p>
<pre><code class="r">plot_dist(dists$bernouli, labels = c(p = "p"), color = "purple")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-7"/> </p>
<p>If you want to coustomize a diagram further you can create new distribution definitions. For examples of the current definitions look in the file <code>plot_dist.R</code>. The following is the definition of the normal distribution:</p>
<pre><code class="r">normal = list(
# Name of the distribution to be displayed in the plot
name = "normal",
# Position of the name in the plot
name_pos = c(0.5, 0.1),
# Plot type, "line" for a line plots and "bar" for bar plots.
plot_type = "line",
# The values of the x-axis.
x = seq(-3.3, 3.3, 0.01),
# If top_space = 0 the distribution extends to the top of the graph, if
# 0 > top_space < 1 then that proportion of space is left at the top.
top_space = 0,
# The function defining the probability density function
ddist = dnorm,
# The arguments given to the probability density function (has to be named)
ddist_params = list(mean=0, sd=1),
# Coordinates and names for the parameter labels
labels = list(mean = c(0.5, 0.3), right_sd = c(0.80, 0.5), left_sd = c(0.20, 0.5))
)
</code></pre>
<p>If we, e.g., wanted to make a folded normal distribution, we could take this denifintion and change it in the following way:</p>
<pre><code class="r">folded_normal <- dists$normal
folded_normal$name <- "folded norm."
folded_normal$name_pos <- c(0.35, 0.1)
folded_normal$x <- seq(0, 3.3, 0.1)
folded_normal$labels <- list(sd = c(0.55, 0.5))
plot_dist(folded_normal, "sd")
</code></pre>
<p><img 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