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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta http-equiv="Content-Style-Type" content="text/css" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Bruce Swihart" />
<title>lasagnar: Lasagna plots R package</title>
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xaXpygKB5dWVlFrb5mQOydwB7i0J6ubFjh7npdh1XXdKUdEAmoj3W5Db4m4QE1LVCapO1XgH2D%2FkB08JF83SNM9ZhZf5I9%2B7Rz8J%2FI3IIfrMb5LHcjByu%2BUvGUKxQ%2FkcaLYdZ40f8JWOkw%2BA4iEBtlYSmddP1HFw%2FdKtShd1YQrncW61ZeqsIAcmYleEIEKAhx1ry8ND6aFh%2F8V9VHtiPdBPGObFcRVTzQgcz40RO7WEpW0ba3k2z3i6zBvlL9xO4ka%2F1EVnLTSa%2Buo%2BmkNzrwWDyPcz4lWOAxAp2%2BTrKORXoPGvm6d5aKpzt50u4573rAOfhP1CUXfpbjl36l4XWpysmXBCr6PbGqqsTnSRvReJFj4Xl9rvYfHFko%2FqPrb9YYEpV1CsKxTiSrXhisap%2F%2BC%2B6uu%2F8CZVz1iWlY7fGdnKxd2eM7WS2lcof2ANfjrBHRsoomvoE%2BuiF%2FpXpsCFnJYVZIVk7UsM85PYeLXYofPYf9H42YsMdtUq%2FMTd79Ho4bf2S7Gq9PVRxDC6lKG1VpVBV9cvFXGr6oVycSFZ%2FauXWquCnKooTpFvcfy0YiWVX%2BI%2FD8UOPXvp%2BE5%2Bom3JHt0IXP6MxS5U%2FAqovYd3l62%2BltAxkkq6q7T7LR3xT%2Bcz8gICtekEZU28Hq3d9JkEXhcfclufMmmZusgqh%2B5ww%2B7k3Vwcd9XbHh1JbiELt3Fu67QYbvmRs%2FCg5by%2Fr3TnRlZXhu7ijl5o6qlZ%2BrQrpkGp3PTVTZFKpwyqWabnH%2Fce5T6T%2Ba%2BNhiV5b7vOiQWG1XNvGNzngqewJWX%2BO7%2BPupIVbDas6n8HPju1ZMXmrvkcJ%2FhQ1Ya89RaqlV9P%2Bu0DacBdfrcx5rlPXMqW5%2B%2FVv8cfLHuP4t%2F6ZgDdhPFR8DGRmRoMk6R6Yc9MgU65TdN%2BKH32y1gyJruJn9x3%2BQ4%2B1zUvkZZYoyqq52HfJR1T3OUca8Ss9VrVhgoR1nngEaUXl%2BEwnEj%2B5Lg7fIsNx%2FsEWwXdT%2BI%2FD8UOO75zqXdKad2WS2XFS9L3XHH%2FH3m9r4nePnO%2F7Ys%2Fk6qErLYy0lJ6agZeeN%2FwwccYGT1QoEPwJqvCIveWiGhaw0jqw4olppFhqa8b%2FC%2BdTSMfJ8SlX%2Fp%2B918A8%2Bor5fxP%2FNTuvM3TtoeHe%2FThlVC9NKslFVNwNc6blq86mEHcyuYlSiOqOvmLPKAkLhPzbxCP6j62%2B9f0qwwjHOiiWI80kKVVktH0mD79lpNHuEPZ9yx6Q3iKpAKUiIS%2BdKK4ZmEpg0z1gZ%2FjhD12TDPydq2A6DMfTF%2FCCSlRZO0fLXPJsLM9o5%2FJ%2BS1UU8jHffrIaAVo2H93qXRX3g%2FV5fZeaqtAxwpeeqH3Trtr4z%2Boo5qyzjqus%2FuvixZ5JszVn3T9bAuDz2jM54qngC1XyGupJhFtiO%2BapVZZeFqvBG9bLT64cJ8zEW2juBk3sMRUbTMA9ggQX%2FxuNExVKRpvwrklXWFA5ZaUTl2d%2FRNOseP4pZYB18QoGHvnMyyNx5aXCbSf9x47s%2BV9Vv%2FQ2nBFacueFU%2BfxH298aemcj%2BAollosRz0QwI9ygM56qmBNbdKZpA5nYorobKAtV1yzEXc4xMjWQ2Xzu%2BE7FzK0BZnfYN3ezIOaa7cYL%2BL91Kw6%2BwooX2cJdqES1Yl3fwkumIJzZeGJX6gvVmzcdfOOV0JL6h1jjlZuVAa78e1Xd1scYiWP5mRhHlc9%2F9PFYhwhrwqz%2BfBOLKP8AaClJVcxhKRb%2FbHAgM5D5bBD67tR1UFX8XUSS8JcpqS8QN340V4kWuHQHNRnlvBhKfbH7Vr8H6fkKWPUwq6eGeuYgy1ZNqcPGOz6%2BR9SZ1V7of6CvfPi4Z0Y6zuSjamFa6bv2XhUpNzRDI2ruGXdyLNC1U%2FVs9fxHH4912DsxkOnMds9tPgd%2FPNEpvw99qvKrPL3r8FZaC3Vl26BE558ratV5h5brrxqrSjZWe2oL%2FbGSS62BPrSGWgP31eFR1ZYP7%2F23Jv5tWjqelgG%2BMe9VoU1C5X6i5fIfCh7GYRjtwIM65C%2FhnJc6S%2F9XnldPHdKgJoWtn6q6WQa0qq4yZuwG%2BY%2FxN2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYseVnpcgqGjNm7EYTNd1MEGK0kaUITo7BMiNUZj1D6RBgIRmWfxAO%2FFpHr1Vl6qOHh2WCxTJWwxWpzzycMW1rU6TJ5QMexTRpz5cqLpp7Tvw4WJlhBGp%2BBo7p79qA4m5Bmngs%2F5fXJWZFOsN86VmYRFb3agsKnuuswqLabGc2wig6q2t%2BjKX3TfZN4tc1P6Y0CV1XT7c%2Buvjor4tXpcgXo5daH5QVaUf8fJhRy0f8ShZltOdLW1lj1bW5cG1qRVxmL77HjjgmvE9R%2FzPNIBmL4pz2%2FS4zGXS56nQyJ70tVuA43%2FnhhXCDWLVTsHLHWSNKIav78VHwuOp%2FIIMipCx1YtdARq2zGvoUS986vnXcXu35aXmpqlsfXTwuQ3eviwCdg68rVx9cjSm%2F72K8qp0Ka69yLaEXBOWD7i5NogZ0pBfagNRNqJFxxsqEFfWPwLL%2B09uwHqe3jaYjJJ1eWCSe0SKcjaeJvbvxVmCVVIo0mRsZbeHSfvd3JVC1cDG3mnyFKyZVeNRZBYmKOKvFKsJysjg6o%2BzmrAAX9OBrN1HQg9KAVKq66wPik8r6uPCT1iQBH4jbAtCO9c7Gmb8KgVM%2BfqdTH%2Fyu9bWEasxz4a06Nd5xLnewJl9aLgT0WD2Vqon8Ot6IYncG62CUwRrSIF%2FgCGtkgnsnosow2zrYZMcO3HPU%2FiPwqxhxq40cvmkhMjI00%2FaV%2FG5xiVySOYQtkapLVRdU5HNTVb3sG3VWD28VlUA7vFWus3rbPl76oT28l06y2%2FaVj6ru%2BnC8vD4Cb%2FWFUMG%2FT4XH2hcKkKBASfsT6vpA4Buj1ydHk5BqNakbb68qVa4%2BFe7kXqsqkWWbd4sS5D7Nq8qnh9fhq6ASUbCGlDUMzYSvyueGPCTnI541tkrS2bvxqGrS9jZl7inw218N%2Fe75%2B2RdsdMygrCWQjrAh6pe8igqsjo4SsrB0VkV1VPprIau8tLvS92Xk%2BgMXVU0X8ZyaqQIe9z14TWS14fjYceRL%2B1585dWnQL%2FP5PsR790%2F%2BRHvwQRrA%2FU9YliQHhQVZ%2FkNwJPM6d8qumNqgkP%2F0mw8lE1zh7dUfyzR3fECSoZKDuzd6IZZrcwKtdQ8FVVjzwQWaTGlIj%2F8bZ2hrK8%2FmKhznTC9jV7MiHrLH2pir3s0qaWj5Q6KQe3zmoyT2uZzqoVE5InEAzWijBJLnFcKMQlb2pRH8sWpuLEltWH42E86rbr1I2LlGV43EFndIv7J6NbZDvXuNsHHvmrqvpgcshjZLvsG56mlmoIoIpQuUZV3SSUF1VlSr1JNtlU%2FLPJJlp9qqruehS%2F3vUolXr3DHZmdah6zyC%2Fm3sGfdu%2F353R5d2ebHiTzlX1GloX7%2Bisiscu11nlsp9izM7nFX8lu4aOEJeoD253wLdAkNfHqb%2B4Uzne1nzFunMl2j7LFl%2F1byOn%2FJ452FykRVV%2B%2FwUv3dqB93QSKHKdW71RtRSqWnUDmQP7T287sJ%2FL6B3bIU1yVbtd284wVNPqYwVwRMWR1T8ALqz12mMbzupQde2xzeesGEaAsoCZ%2B7I7D5y8HqqKTF%2B5qaqrs4r5U97TYn24Ui%2BMSl%2FL5w4rGd%2FUaKUyJBf1YbWjaZALrVXVx6m%2FuFM5Pr%2BN0IR9NxOqNnLKB6m1enX53u354H7lm700rf1vxKgKMUqcrYAU0Qq1jF6xzJjjwH6jGB6jaR4AQ964gTXA%2FzUUPFDv2r6dcu8vxEe%2BHv9Z62vgq7WUlzWibUsKgIsTMuWnqp7OqjUswt%2FeP%2FExJx8CD9Nqw5NRlPrAcBdU67668PbGCiq8837RST9I1ded8qspOrT6urVcqfn5%2B%2Bj4So%2BqOjPn0bQXVUcVbylY8MQuzMOLvLHqKgJ%2Faotc974YP33f44mOxUd%2BQXtZI8ZXERIvM6rq6ay2vyHKvOOP%2BD3f70P2ZwTFdQkq1P71dV%2F18N6uK6tRZeuDNcJ3rzr4ys9V6Ybqy0upij9VnFeLGzFqXMfGUzUvHTyrAXo3UF7W8PeqPBMsU6QUvxVqiFVVOPzcEKrq6Kx2LIoyh1%2FG74dfFt%2F7adrru4qu7qseXp%2BqpdYHE1IDGTUeXnak9k5sPkfXuV36Z4X%2B9Xf2vHMO%2BW4LelR1Tz2KPy8Pk9Pb%2FXrGsmM%2B2v4Gzp8YYrYjN9a7Y2eS5mu%2F%2Ft6bVJ1VlwJqkPepKi1UPRVd3fro43V1fa%2BjPt2o2k7QrQ3Z%2BA4dnVsNXeKUBzolL1%2BbDK7rU%2Fd6XTZELtRtroeDrMTsRDdVxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjBeb6o%2By0Pt5KEzRo61BQha4rq6dBmzsnnUdfrlhLodptTKuFmDVJLn0sd0ZGdafebSRTli2lRY0tO8OVCkMzSS0VYAfPQuvfUp3VeDG%2BiNKTVLFK3ZU7aM6KnDijC0TqWfiqSo2CGxdvO7TnwP7e2RBZwpo1jB9Nss3n5Eu3rMmwTX%2BdtTuaqr4lULqUjgBkOUvuaJT4gG7ntEQYW3qvxWdWaOgsrn8SpSdDAxm6CnAhXk3WKLNXSzKqWKU%2BVVGCxCXi9rBegxCbcDgJy73WXiOQzpbYhBUUKy5Al9TxZ%2BpD6nolyZQaBC1QcgsKloK4S79Y%2F4gKvIWCpm7TwRa3Pr271z2L1ZTe0ajwxWVTFnZSl9cVo5JMl3qq8r3WNSU5VVFTIKKhAlyMV5HVq9nKS9X2J9xomXApF8O0Ckq3lHKYaKHfDZ7unU0wykYMos4oZh1fpFI18QcvyS8vpwJH7%2BQrGPOqi%2FX%2Bo7EOtngJHDEi6L%2F%2Bs6hlU%2FD6CzWFkAqt1jpU9fZmf77wPSuKNxTJURXJp6cCXIyXk7WyVEWioaCnc%2FzgvKzvcsbf3lmuczj6G5UcJoZr7ez5%2B7b%2FraojcFPVijWdBE3gs1SqYquqRNyKW05noTVR0lxzxxrtADVQQkBb8QA4yaiRVjGqFKqipK%2BsJvamNFdzeR5bmse%2BCp930lWAvfEyslaWqrbu7DcFwcI3lIBq78TU0NTQ3olkXn5ZZrftQ6mrX4LAaDthLszH6iaGTa4KaZ0gHqcWFMJVlqq6Gha6AapXcHpzA2A%2B9y%2FWIqTUJ0%2FySZ324drbsueLHBt5BYmKm4AEFqw6G89CemT1w%2FuTtfJUjRf0n3HCo%2B%2BdPdC5iq1iBzqFgrAi%2FL26%2BW2rL74B0S0vUNwd91fBRFHzx7TNkOL%2FNcnu%2Fh83n6q6Ghb6qhf6AW3lAmD0F0j9pR0lQZ3a81a10iHJSLzUm9e%2FpRIXtfdACCJRo7YAeuPFHN6LfOvfklTWB7%2F%2BLe%2BzKk9V%2FV66%2B9KmNvy6qa37EiHI7otDd4QCa9F8aKImBUhkNY5MRVngeRKRjifZxqM3n6olvSrTPEMnQK1sAIyEG5liIXcATLtXVxooBCX40ttDEN%2FmjzQUr4MXg4Hm%2B6O5M1y7%2BhSTD4SzpPvQeOGt9Pq3vM8qjaq9s6e3UUa80qgahTzx6W2nt4UfjhK6g9DfgxxnP9%2BJzB7D%2B6ikuB8SXrEPKUSKfYZ731WOqtaYHXyNUQitm8%2FVPUMnQK18AIwZdXcATLvXglGwRa89kT%2F%2BeCvWeKUNIr7b%2Fpdn%2Fd3kUxHVC%2B9P1NKoauvk14gNLtTBZnFqW%2F3om1ngo8BHzaT9Q8Ps4eeEk20%2BB3vo%2FD0prRSwxlqvJdmdv6dQCbuMB%2FoqR9Xm3F3rB8CVyAAvlwC4OANMFwHUzQB3gbokPzh%2F%2FPFNuSlcxK%2BrEeSjELUYLyOqN1WHZmQ3Jza0EBtcEGgx7wp2AkmSGGaURUlymJjHPZB%2FvTH4d%2FbcXPJXS9YenlZaBcRIEBNL%2FJxn%2FlqJg82hnSQGbaTkeLeLydIgJQWcyw1%2F3Rlgan3UVHVUHIGB9lFKWq%2FoKkg%2BKlHdeGtMRlS%2FEMAf7955hpNV1RTFfwKhLYYpkcO0DmK%2BrmlBqNnzfHFgwb9GrQUbJ8GfH9QrCZjh5zReUbZ5C7R4i85IKZIe7iPEdF6tlT9AXV4ZYEHVUupTiqpxGahqZ55COsVyPGjMhsoZUhVuEYUC1cp61BaU31DOpsspEafyWxUrlW4L6tJN2VgB%2Fkghh6a0uX8w5o3nSQ%2F3gYmUcgacyw2v73NLz6HVpxRV41Iy8MtUCVj9ZwDGtNqzRf0TY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8ZujsFqucCyqMe0eRbGjEmI2nhR%2FHG6FDdmTYPuyzRFFsxGn7Euw%2FqXMzQ8LucGaZThkjub4WXQkmmasrIxYyU5%2Bbrm7ksJ6coR7obNoDIUgX%2FNSo1DlOxuxtV32QT8D%2FgMRcKk%2BWOQRvmKgrSGoRNgjuA1djarJcu%2FXfgzuKpUq%2Fx57MRgjX6dmqhhorKyW1sW20ofqz5LDw%2F327dsPDLvLTS%2FWYrnS%2BJoZ1GwrvZM08R4nFand95Qtux%2B0ckDH00N9c6mvpCPkbgwbCAzmsaF1mHFiklUiBnIgGh3SqwTbbyorOjBqK2ZFHhJTaTVuaW4fJ2rVTd4y4ZTvbN%2BMp0C35UdP4prB1cxaw%2Bl%2FL0TQzNd2eM7Wa2VblPeAZe60pFBF%2B0fZbpYyll6%2BDgsJ4J4iTwNEms3SxV4kZ2D3sJd1vkks6V4viSOdhYF67RnmFQjd%2FuTO2%2FwH8n98sJACwjIeqFfVtDa923hbnyiHUjWte%2FLaB3l2FpnLV5UQW6rry2HDCmD4JavQB40nVsq1Dl4S%2BPFxovn1sGysmoFPsUaISwHAaxWdMs6Zfmw1A%2BXwnESbjglb2gUssrpU4QoMuhcUYfLXulhaWfp4fEa7bhGl7gzgLN2s1RVRBlWuGySUcjqhaesV6Vj3e0ZJZJV4OWqZY5xqTSf0p3Cui%2FtvlW%2BEA2lJIZf5p9RFSHC5LQ%2BvLX4EcnVdNd86SDXLMibAkc8FnTfQ%2FelwVvUeFRYbWZ87AO3PKnET9qhr01U2QJ8KHc6zNzjX1jaFQik0%2F5qN3ewtLN08bzlEyC7CkFY382mqnDZJIkaXnhaq1Kx7vakkdXB62qseJTuFObWYPAzFD0R4l6xD%2FEcf2xssSvLl2W7H1HiG9k4HGc4VguHkSv%2BOU3L7wHrL6OqwAeejwCWb%2BgxNHNunWIUmwyhHut0WNncjRfbc4r9yfzXdkXAbCtAXIySZbgcLOUst2PRruI8pyiGwmn1SFZZqnKXpVHDC08VN6Nh3e1JqZE%2BUSVk1SNqVdWGs3w7DEiv2FtiyMLB7rnOrMcjysrG4aEZHKvzAixX6XM3TlQZMQR%2B3dTpbRAmx7uyeycgXK2W45%2B%2BtwuSYu1CS0oSvm845SW3IQ%2BYhYAklapRl5uoz2o6qYcvplJYKSRTeaoW3rN%2FDOSNp%2BsQUrCFRFVnX0T7g%2Bi7psZKz1zR%2FeoStapq306uqNaWU1U7frc%2FtvdPibxomHNz%2FRdk4fXGo32TDjbOKFQNPBbN1V%2BeNMnv3BJiNfj11BbWIKNeTguq9vhOjCU4UWVqRrw3dG%2FnpO5NedvTqepgKWedW6eHL6bS0MzH99x8qrrvwT8G8sbTqUrB5uV13Eenuv3jTO%2FlnZWOF94vfz2jQ1TcoGhkymlmSLrU%2BGPHnoH55tniRzT2jCy87vjz4fWOsmCSRNWew3sneP2jykdfcC81%2BOKJQG0gK9ckalbUSKi8ijPVYQ8ihZAqxakcLOUsoftIv0rSta8PyLiFVF5ReaqibyZJw4kXnkpVGlZ3Vx%2Bn%2FcNM52VNuPh%2BA4%2Fx1zN0oqK9kxCPHLK7QanjNvTO2sFyzN13yaTKNpyNstW%2F7b8g0PKdXDBIwEwlTKoaWDXqkmOoocbnk0CgSEjDgwRai7p8Tlbcyys3V02rwx57%2FK2mqB4XY2ln6eKF4Cq8zuqkyLhVmqrcN2nDiReeGqvQsXqKiPpk9SAqzAw%2FFa9ndOTHWPWR7Tju9cydT6mwWM0I7rA67%2FRdMvzJjV3ZcF6wuCsr8sc%2BwfgTuEGU6NtW2ptF7Xvi5uELkwK0REIuyCaoHi%2FF0s7Sw%2BM1Np%2BDqUHjcnhZI9yVFvd54Sn0o2NLURR0yKrzsqbgfq0AzvC2%2F63q9YzHxSEg7Jk7tkN9HsqD7p0YyHRme%2BY2n4MkTqf8HFZzagv%2BuQF3dXCYWil6xYH9fPotlHcP7Gcrbh7eTVZqxi8fZCtVj72wlLMEyn7Nr8Tb6sUdsmmNl%2FM6X2l4mqMLd7XqaHGfg3I%2Bqemngy3NeKvrvKwput%2Fdt9p50MZSBD0hIOyW08gdBsOsOgX4DopKL2zMFMpJa4fUDsNWQLlu5d0VNxfvNDc14%2Bc4q1r12AtL0UrmKP6cVXiaevGNMXedKV7qoFyf1KOeBvZ6yKrzsqaoY4IGqKkyZszYjeh2qiuHNmbMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmLEym65O7%2FcNb59Dlp1cnvWvuA8FoEYxnda02A2oVVr3SlbMmlyuNM3p9MYZTaf3%2B4YXZ3EZMXp7JrOdWZ36VAp%2FoyzwEUhYfkStC3XBXMGdZ%2FT3fXj%2BPr0rWbHAAuhkTt7Mrobvb5ETbA24WrRYK0al01sani9qw%2F8rU34yL2pW7vK5OPNKG7tyXq3b7%2Bges9SJXQMZSn1Kxe%2BdoOkq2488o%2B0yGtSwJqNK3aPrpWoUBU%2B19k1A4tGvBCMw4BPgpU%2FfW4n6U4nK97ewh4ZY00JeBg11evllhR6QXKfXwbudXYXvnf1kE67f%2FGQTLrClly%2BEoNR4WEUKomYndtHrT7tftKaTHYtIiiR76CUQO5VrGOd0jzfegd9tvIPFkXzy%2BgidZHthoQbeirVeo9QfhcebFqLajkWnhjUcyoum0UJyXVe3%2Bqw9qF%2B5mtHDU0G8E7uGZij4MAggIB6F2W8eVdc1xxdxfwssH%2BsfX1zXbP8CdXqdy6p1eh28%2B5Dju7K49g7Xb%2BKaPRxZaeX3zn58D6eICg8SMCusPVaM1fK19pTyhQCoSpfYqguz3S%2ByBpvejQ%2B91HpN1tBc9xh6QxTlTMP%2FscNbVfUROhd8awUqXjgitpBcV9maXA0uqO9YVGpYgTULzlNrvUYZi3VcHZQx54MgrZ6XcSeO9m2%2FEsSjL%2FEHUb%2BdlFXYlaMqq0HJvUROWteuP1%2BoGlsUI4wNy400%2Fjq9Dl4canzCFRY1nUwQykf5rYEMEnx8AKmtwsO4wkJXezZbdVFGqb%2B4A7UuMYq0JHFGyA7tObTHAodJSGcpXPeY1Q7N4J41sOofPkPDfyPHw3X2WAHcWqHpJBGfIyo8yAYZHgPfkKtzUsl2uTFUagQ%2BSri6bRgRPiqnq%2BPGI4miKK7pCsnpW0amaMRz16n1NfUc1SpqUcq8liaahugm1%2F0mUOqI47vniptMrtNbGt5RlOGqMSr81BCrhyCvmjukGp%2B0FY9YfdNJlc6wwFsFUYQ%2F3nEQqFG9Wg1I6B7z%2B%2BT33ZmV1Qfx1p5WtopFc0KSBLxD1Fo5vulKVEu2ywurogaX23R1gZ2KGXChq8u3uuoLL6lP7%2ByxHbQsLmuhEFVkiXODT0hNZx0RND0tKe8r2L%2Fo%2FZNoMsF%2FuU6vg3f3L3J8V9ZRbj23DkdJVfkBO5OYJ6oSjweEaiys1Bl28O5m8cez%2Fs8G7Zlwv2WPrKj6JBP14LrHVgxHVBxZ8XNCWh%2FET4cxcOdqOgT8mJuocvyxHY4ibqlUVVNDZ5ycGnILx3Zlp4akQezbmLEYmcKYRugSQyvVliOLW0qWuPJUZf0ndjkt1DMHCUTubajTu9R1%2FXV6Hbz7kOMTtpg%2Fzt0wu5UglG%2FL%2F%2FcJotLq4w5o1XgR8Kt1iVn10AwmkxC37qcdi7tflDU01z1mtdDAMDeH%2F2vXnFXVB%2FAwh7ddEEQ61PjmguSHHM9qsWR30C8XHiue2lCooUdVVvPkU47nPPmUXDKoHXWmu2F0tGMa1V4IelncUrLEhW1D1CvU0je0Arz%2BvCOL4wYsfPqBOr3FaRaZTq%2BDd%2Fe6KnwUXnPg3G3lfJRYPu6WktCqj1793TGBXJcYI4HB0825lAkmmKSPJad7LDLAuFWIqj6ID92OLghjMAGPNYF62COqCm%2FrZ4X2TuCj108rqalRyuyTrRCS7yCCrhCVA6IG8xHFLM7My5fFLSVLXPm00u5bU19g%2FXmKqyub%2BmL3rblfOYrrNJ3e0vAio1Wp8iuH586OYXCSfbJJrbjo6B5b800sQqqPLt5OdBHxnODHd6oFSJcE2wRqlOa8rIUH%2FKxFiQy675z6EoWeTNLNEt%2BADDBEWCipa4%2Fatae2uJQLhU5vF1Wn93uGF2dxdXoKUuged2vVp1J4JxDWdRpa4Fua8x7Z3jMnn6V63Xl5srjXkyWuPFWFjmhOW7mm6K71dHq%2Ff3gx4yBjl2P9q%2FVdRgvdr9VCqCJdAWFbSha3mKz6RNW9W2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzVgaDZXN7TCsYM1ZICw1dWVC6QQmPPvtzn72m%2F6DGlfrg%2FDNqWUZc2dpzuOL3PW0xqhwm1PqMVtkZlcJBHsm8P2tcK13GNnkOD%2B%2FvvpO%2BHbsxisPqZ3TdT0lXFzf2Ye9sfDEIq%2BytySDoqfXOxj4kXWUMnTfI2tidv1evSQi8FGU%2F3qbRAUwjleD%2FPh18x%2F%2B98wrtj9KtsQi0Dl3a0gpwsU01Ta0CVY1kSfqyoDYx7f3UoPtlHse8f1m9R%2FDw%2Fu67aO1PoG6H1DPn1a1SOl4QFddrXydZdXVxI%2Bzh53D1IwoQ4kq%2Fh5%2BLqB0y1nilmfHrbD7X%2F09qqq4F2cz1D9hjWZ2y6aaDrJ0hldqhK%2FBzWi%2F87eze1wtEkX3P4TKeoAZBHINZDW2ZlK4AiHASrmMPI8Y8J3i7z1NLeJafYOWmKldbLGV8kY824rdC%2F0gp47aka2qVyNlwmbtEvlUoMnF6eIeoOenV0skqdHFhmS8s6hEKDBIdWlu%2Frwkwzz797NOop9acFxXzf4yBhXhOKWbvxIP7w0Bx1aiHzdH%2BRlXVnb%2BXdxwYKLcXuGE7y4scE%2FAPPtJ8VIYXY3wC1HcHMqDG9xK1ZWlUXSrmIV9clVcFBBkPR3sKjw2n6F2BrF7Q2wWdBd2F38laNczU7bh0fJGPNs5vWUjIzsjr339h6b0Ov6zb%2Fv5PQL897auEuMQLbXleYWvkvxO6uPFF%2FC6%2BqNLFdfSL7nrgrgccXSPZpbmgaFd2%2FCjr7jrULJUd4zYeyfVBk%2BvfiUrnwo3vRmGcFuLeXAsI4oJ3qfhX1%2FSmZXg%2BdqE85%2Bs%2FfP2HttQmaV8WvnGGeusMz%2FCUyV0LZbJSX8Q3CKkRfCYgYxoqj2sV1oA0ZtTxyCxKIKtVl%2FjcGV%2FEaJP4XDEWQaSE7u7oGvmVv%2Fm1pfe6dVy3%2FS2JTFzPnF7n6n4S1FC5aHLDySp0cWEwr4NmVOriOg%2FfTVX5xTsWcdQ%2BtWV0i3W5TdnPWcPWQRE%2BhhiOgOGr%2FikuFCz5oDvJpu9DAtpiHXfbakUHKfjUV7DivsUfzw2FxkbTq0D%2BczSNomUUojZe5LVROW9JfTTIeDz7k9Uu1UI%2FopZC1cLfq%2BsjiJokkRXlSHjsBi54OSyVzGEhrlIIVOhwZxRkNbr%2FiaX3%2BnhCt%2F1lio6P%2FAKyLkw3A0ClKu%2BeChVBc2R1dHQDjwUeU%2BviVlVh4IsHUlV8lo9JCXgYR7YH34MkVK78w%2Bv98a2frJvCG%2BudFSNfnPlJRvdNwoz2X1j1QGb1b%2FfZwlGwSUTN%2Bn9Jsr5JP3z3JY6%2F96Uk23Icf%2BqPFwmlnrkZe5yfifTMRdTbTsS43Bt33pXzsnEYHXHpP9UD7eniRJ3YvX2tfQdvlS9g06OqQ1SxaQmdrPE8Uf1Se1x5WcfpxweK7xRGwZryURVKa2j7yvuc7a9eP1VzOtlFh%2F18HV3c1vxWA%2FIAFSlafEjdanNX9uHnAguRfOlIJ3981O5vkYL78j1kfIPfvGoggyPi%2BVTn%2Fw7aJZ9P4cgJVwj64SGgTiMex3fMMVtpf7xIKL3wU1a9%2Bdzmc6z6hZ%2FaWz3UyYiKgakY4zefs%2BeVMf8HyLO%2Bhf9UXUEgR9Tmj5vssv0zwJWlqkNUGNe7%2BWxSvd2VQ1Y5Uf0cXFYj3Jug8E4H3tOPavzLhzG1L%2B5zjmwAolKVz8kLJV5zMZOujm5V1WrGD6So%2BCy9eH3%2FhWaXtH9X9nxKdUvYGHf%2Bnq1wlO390OdTvbNtLPA8nII3Fg881gaP3%2F8KiIcEyLuv%2FxCdhdVbB8NSPCaUgKJw%2FQf3P7gf7wbJJ9vvLLDQmQWJ745czTsO7O%2FMBhbKNapiSCTkM8cjuBFRkzQDXOy44hn4X4HvpwcZ1z7IL6d5d%2BNPug2nckQNOakf7wSXF1lVRF3q4JgJzonD%2BqSiQHPK5ehd2cG%2FKydVYUx92%2FsMaIOacsxVsRXd3%2BcnN7o6urpzVXxrGylI%2BoBAp%2FThiPFo306%2BcR2eI3%2Fom8%2B1wTiM73mty63gWLLHz8WxI%2Fa2E3f92Qq0MSGV7Z2JxhdSJzfi52bIdePXkxu7sjCK%2Bb6%2F3XAWpCFXiLrDllcrTm3ZcLZco6qgmi2HaW9EJM8Ao%2BPyZ%2FrZoMuFJZ0l77zDkPhtyu1WgF2UzLGcmXLhdyqyylrefb%2F5eZsrE0y7Ck6%2B5G%2FndalqBdp9znh0h%2FSVk6KDKWxTn%2B90dXH1qNp4sfvS6W2gTgd5S8xVqgWgT25EYoNoZn3ra7w%2BzjYa3g%2BddcBmVO8l%2FpD4w8B7h%2FYUpiA88ZCuuAeS%2BtsObWoDvKRGzR9jwm1VvhvDr6vsCKH5Y9%2FyO7B3FYrtOJ6CQGRHuUZVQbX8Jo%2BpgiDJ5xrq0cs9bvBx1TVdaVC8iAj5fad6Duo6uWvivLaR3S28xMqTuwnOmmwqJ1Wbj3rjYXirV4W11A5G1mRaurh6VO2%2BBE5Sk3Mrkogjq%2Fn4HiB3A87AemdpOrewTUIHhMBx%2BL%2BedI36TdAN%2FGwjkKhe1idHmd%2BjjCpe2nTbe42c2NU9p3JF%2FbnqUpO6bp0OUfkkYWRKbMQwMiWfrlTail6KhNTdATzTfmenP9ZP82YqVdde88Y%2F%2FJw6rL1OooqelK4rm2%2B2W%2BBQvlXSc5J851GTu1InXedW8xotTClIDZ1Lv%2BSQng1tWcvVbrVcsb80fVmp61bTRL0LzmjJzfhS8Km66jtnogXVLan7JxCFM2HXoeZNqAxErWijfQcftDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxoz9%2F2u4KsiaNO1gTOYkgWLZCarynNZV6uyy6zRcFwRkdJzX1iee%2F64%2BhRBIyIR81S6W3CtZKy%2BHR53neZrO8zLFT0NXdhn%2BH9PyuTN2Gx0sqydraWHlz8rYyAyt9KVXs7%2BJjBQLTzbfr0X0PUh2BQokTLBsuXhJvoED6LqNFxsvhph9BYoOXl3o2vjRBNN4jJlcMxzU6Azmya41r%2BcgsAakBv9R0VQdJkfnOUHUeV6O%2BLav%2Bv9p5JV9T9zzWzXescZ3caU0LHMMSkrX1kkubXlF1F7rEyWIzRaWJ1YI8UJ%2BvWSB16%2BJzg594yoW%2Fmr3rSqHCX6ZyHUDwY9U5a5rhvWhGVxmhkvQrMwqtq5ZXZvA853ZX3YnSRLZ1suo5rrhFOt%2F9umRqTbSWAaaCJdv%2F%2Bcnn2omdQbN7Mmnbv9nGAX66FQFXZ1v7QXyhNqM%2FsY5lA6rqfNcKr53VkjTlr98EMwJxT6M%2FjryNUUQRvgnSgQNv4nLHP3JnWDutsQDqSHr8kGmr5jYw%2BquIMkKxNnnZX7Ax187qszwETXn17HPiqka%2B4zguOmVi21fJv5P97%2FGGatWadrF3es8FX0iq%2BmdjbrwsGhXOdZYsTb20EsYH1DGow1HhS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2Fy8vL6%2Bvqfn5%2Ft7e339%2Ff29vbo6Ojz8%2FP6%2Bvr19fX19fWmpqbLy8v6%2Bvr4%2BPjT09Pr6%2Bv6%2Bvrr6%2Buqqqrz8%2FPt7e2ioqLPz8%2Fa2trW1taioqLr6%2Bvi4uL5%2BflVVVXNzc3%2F%2F%2F%2FW1tbj4%2BPh4eHq6ur8%2FPz%2F%2F%2F%2F29vb7%2B%2Fvz8%2FP09PTMzMz%2F%2F%2F%2F%2F%2F%2F%2F5%2Bfn19fX%2F%2F%2F%2Fy8vL9%2Ff0AAADZ2dn8%2FPz7%2B%2Fv8%2FPzp6em%2Fv7%2F7%2B%2Fvq6urp6en%2B%2Fv7%2F%2F%2F%2F4ck%2FmAAAA8nRSTlMAGgDUzwIP8SMQ759fCgUvqfDGFeIYA78fbxNTt98%2FhsV%2FBhdD4Q1rRI%2Bvwo3ATxJTD18IoKWasozTETbQ4D40IX5hC6dAMR7RXydvEsRuotKLkZCATYahkzOxQlFqmbZwJiUhFWy1wyJYcXI7gB2XIEFbgjxgiWFtfTSFMy8wSYgEqFBDTSE2KCpnSyZZUaZHRFAsDuWBYJJ7AVZQpC0Z6njBKWjdN4dlMV30iN8bV7%2BzJJeHMRiDYsR6U9yVYxdP2c1dj8CKFZZVFjtaaTxOI9cMKQk4NnBW4PKUOmiNI%2FkwWoQYUdQOSk6GvkUURFSM3n71h14AAB4tSURBVHhe7J2HfyPHmaa%2FYicCDTQCQRAkQWgABpMcDSkOw3CGM5o8Gk2QRjlZOVjBsizbcs5pndb22r7d23ybc7zbdDnnnHPO%2Bd6%2F4FjdIGu6vmp280CtbF%2B%2Fkkn%2Fnip%2BaPSDDqA%2BFOm7J3ncIoDi0NAQkY3d2IaJSws2NNZZnCouduhAsrgf7o4BYy59O4fvn3ROJQKoREkBGKqYytAJCCEQWh220I81TPFIozLaNiCMH4PJr47WIooL1C1isUUsFSwpkMqPAMARDUIFjLcYpj5tGbmqw%2BP6bhz49jZwbZ9S9k8Kd20QQLDdzFbdIz%2FJJ0OFyJFaI6mOcZ6HGOzAGxdi0tN8JL063CmJwi9FviX34m4FUrlxl0PgaBgIbrXJJfVp08yTrbq2tt99bINtCj9p%2F2TiZMMigCzYGa0WxwBgrEjxCBUici56obyLjsF%2B%2Fez8KGLwUdxVJuq9HZcpljX16lgjlaeg8hTpmUVNqubcUjzNKnBbGIBbJS6pT8nMo5ilAms3kxsAbElvsP0DqP2Ttt9KsEYIoBELpWxWDyHMocSDdUiCYMYDvJmAl5sUE%2BcDgiaiLMd6FrTJUmskFaTyEah8JPZsiru8WGL8ouLpx2rfqshkVQix%2Bz%2FOoyRIte64GalXsb5%2FJFX7J4UfxsVI3EUcMyrVrbqAtbVVB1x96q39f4Yo0goYpBJ6EmhWa31nx3WrUmskFaTyJah8iVSofNrqY2umHOeNsyIQ457ksUTnlP0dq4NfVyuLrpTKLlHy0sUp1UASq%2F2Txr2ASAiiwJvNYrVzBLjUbJ4BjlS0qbdE%2F%2FStUgAExAMyWG2jI2EFDd3qujNsWcPOesxquY6d1OOSmiMbId4YCTT%2BBEq0xDjRKACM8mO1HwF2mYm%2BDnRdrRRht5hUmRPHAeD4CdL3jwBEBQ3OheC84VE%2FXi2L1Q9fB14kOgFc%2F%2BzeVgmgJKuVTnzsPSh2iFoncY82uVrw14aH1%2FxCNVbszO4heYa0vDPk30uc%2F%2BOxv2LgBAAGdjSM8R548OvqoxHiUl0bYWyX7R8h1P5J22%2BHUIlAxXSl5FYDeZS67hHgTO%2F%2F2aoPbWy12r9JqFVifFsqsLYGbGtlJyq%2BV2TuBRrA3WTgs%2FAY70S30519XFebg19X3520%2BbakctBO2j%2BZ%2BNt23qsdwduyWCWnjjB1h%2FZvdWkqhPxKVhi3gMamh2Ilhn304xeIaTVJpVlsTp9FLRt3F9DPgvtmX1czbf4FSeXghcT9k4WXLYxtg8oYrLJRKZNTC7XWa7R%2Fq1RDCDfq7RltpDwixPTcjIdii1R87MYnptUktdKYn6Pz89ZSJj6l6k8NcA%2Bc9bqavvmF6jbdHqwW0vYP5%2Fq9dLGo7qVTrY5OXKnXr0yM7m3V%2BFzIAs4S0crEckCmBDOedY1UCmI3%2BtN0LjUucan0yDOycjD8PZk4VJDCB3%2B%2FqmmtSqlc68g2dUYKlLJ%2FUrgzMl73Gu3xESfFqorzwO0OsXiI4kmrCe%2FSRoQ4T3slOK2ea0qa001Tgci0E2TiQkVk5tHooO9XnYJDWcP3TzovT4xOL5dJixDqXz29gHhGRZTRIRogzT2l5mk6b8F%2BG5KhtyB5%2Fj%2B2mie3mie3mlvNk1vNk1vNk1vNk1vNrZbouy65VR8%2BsST3UJbGpopjJYZdoNsFXGOptDrpfAn9LGWvU5xaLJFvmr9Ycu3kzstYuiHrUuaUFsfGFg%2FyQOFa%2BHaCIAeHMNTnPgA%2FwSrnrg3UPPD%2B1R8AHnwQ%2BIEUq7xONv4w%2Brk7ex2vBhRhng9ks%2BoyGAXU6XYrROTzXnTg4PrRW3EAIQQI8tueVn3I%2BGarnNuoz4%2BOztdZ%2F%2Bpl4KWXgMspVnmdbHwWIgxm91XHA7JxiJ1A64jHvJg0WS0CmBqzWf3NLSG2NmGTnopCOm8l8RZKpNsDSbG0l1UfUXyjVcZLqE8EoGCirj1cC%2F20Eq3yOgjrML6wwHgLFoWxUGHzicx1iB4CQJy7Iee7S4biAw4QUM9k1XhodzE%2B1yRqzo2zk3YXkPZaZODoEJl48avVU5pVQQjFJltVUgHfZJX9N%2FDDuJ3Cerdr%2FasvA5icBPByolVeB6yO5B2go%2FOXdzpJLuAVVseuGOv0%2F2M%2Bce6EnO0uIRO3elPbciars9UyhSlXZ%2FkJvoVSCS3OaeNRCTi%2F59j7UGFc0J7XVSWVad2hpv5VEO9fPQXgwx8GcMr4CRybTHWg6ijungJOuRo%2Fhp%2BgMD%2BBw4Y6Xb3OrOSG1BTPdKxCJZNVfJn6%2BbKhTnMcGG9yTv%2B5Zrb6CQT4LLtQEAkBIRKtFgR2IgpZrDa8aEzvX60AQBAAQIVi6bdzEa9jA7aso3FnGph2NA58ncJ8HTBsz5%2FQ69QkD1OM9TmNju7yYsqxmtFqI46fo36eg8HSzwM%2Fb7L3fR6RkYPwfTdzQVBtOklWuT1ulfevCiH0%2FtV7sZt7zd1ovM5F4KKqozgBpHMA6BB1AIDNb0yuGOvIVPAk8YT1BztW3fq5rXMb9fZjcexEEwEHpjPw%2BLjxDPwH2xHgvIIPMy5EBqtCiBSr6f2rswAaQjQAzCbsFVYn2NwMVB3FCWD1AeC9RO8FADb%2FmZ6az7fzcf15%2BWr7BzhWnYnV5irr1gPtWCX9swSbQHOrXN5qck61ByTgfPY9DzUC%2Fs6GICfsbVXCFKtp%2FatL%2FY9pHQKAJUOZyUnwOnNzYR3GhWAcKmDzHbU9GfpsvfcpPsh11ZhNZXVTG5qbt6hJ8l%2FOT%2FeITPyjX6l9kG8mqe0cwGp6%2F%2BrdAHCd6Lr%2BewKopNbh3Gx1kDoET%2FHBrqvGzCmrc6QlGFFA480k3jxdZpsJEoCgeE8lhfdQQ2JocjKj1fT%2B1RoAvJ%2Fo%2FQBQS7fK63CeZjW9TsOrM14dHW%2Br%2Ban6vF3qZbJKyurBpGnQQpicNDY0E4aAXnQC73%2BNh3XZsv5V1ow6RzQnv4%2FyMjJZ6nDO64jMdaZHJxgvUHnZND%2Bh%2FuguHdXmU0KEUF8PPpES0esZG5pJDAkxdDPOk%2FdC5Mmt5smt5smt5smt5lbz5Fbz5Fbz5Fbz5FZzq%2BYGw13usyHXNjcHKKrHZwuvpKWLinmDsECGlAwdND5R2vIg39VWq0atfV5Y14fs2ryIktVqjbUepmUW9zI2CUyes9AlnvJZtEfiaAEL%2B7OabBqJQ619rSnT4jwKiCHaRaD08MdFvVDnWhVXWpm9jFYrEf5AwoYQz1INNQZ7QG91GJfJkH%2BGBzSyghWyJoUAhJi0SIXRAaw292W1eSBWE4uI3YAIGAOYVsWl1sGsvhLhY3FahN6SqXLs0xZKxud5QurmeQee0xGIRnrRD%2FVGFE6iJKIQj0gdYsjI1RCzKhErnWrVj3Hy0Y3OwCDaqx2Ya92%2FVeBYhK8DbLplAbcC7MT2vh%2FEMZPVyhraZAjgMGRe9S2RQiWJg519D%2BoMnPi4e1n1oReZJXLHKtJqNUFrNaZ1EKuzIswstzp%2B6dK44Vm%2B3Ah%2BCmiZ9%2FsDxFNBnX6%2FrTYVHuwMvJBmdcFs1YdmtYp7yLVRdEFUSNBaiGsdwKqKxq0vAF%2BwuNVTn%2B68buH7uQqxdRYnXWL5XXxtYKtChfHEgcHPwKEeSixPJO3BZHVdt1oQc64NwEZM3zqpxPn6%2Bpth9fiLwIvHmdUOwswaVDTPb%2BB%2BYnkYP3dwx2rmu6XWQZyBhdgogHj5XYTChhCm%2BoWqZtXttn4EYW7Wpy%2Beqbi%2FXshk1dqy9mMVH9ja%2BgCY1YcsIcQW0DGp%2BGkcJpYbeGlfVktAaXCrzYM5A6%2FQ3lZpJWE7C9UYr0wBP4kwSh%2BTKrmSmsWqNdwctrhV0Q%2B3ipMnway6eF7usjYe4lZbpRpeIBbge%2FZlVZnI0nyXOjD4PTCHu8hk26tvh6gQ5ypKH5MacSWVW63G9VnDTriYLnNRhEyLdWSaWzLX8AU5%2Fkn98zpXwW6X1Mj%2F0NkCFhKOym0emVgYbKXag74HNtchGGyPTmyH2VbZ1adLVbykpGpW41xKJalV34qd30KwjkxjS2YX4WLXFfY%2BFmEakz3SYpt%2BH7lSXWFHJVud%2BvfXanNAqzxpj1vQpSpeLmQ7VUmpUivrTw9EmDJlyty25SD6oVHD404zqTQiMaOF3R%2FS%2BIboZ6Mw4PrDB3UGFpRchxTkSX3cwePQd0ZW2P8ZNHkvRJ7cap7cap7cam41T241T241T241T241t%2Bq2aOAs0rdVcquuXawYFrpdTF6%2Fl6eDJUqOu0SDxvdpH8mtus8eR9HUnQ3ftK4vANslPSdxisOlKcjZ8uc6jI9Ryzy%2FWKEuq%2BUn9KOHW5VA%2BVASn%2BrQAcR2wy%2FJvAWwoYjyuD4vFDnwTdi33ZhV1z55ybJYx0B9sw2UDOvrRqK0dAHcZ16C2xp2T1ywntO4d3aCcJXPH696M4EPm0s1aQWkISRQPpTEgcUWGQKAkLknBtIRlFbGm6yUokyeHDJyGLT6QKRVTcPJS8P6Wq%2F1ibnlNg4b1tcFwHR3jOunn8KmEGLkhG3fMeJofPR8yQcWXX1%2BuTAa%2BMAFTWpBAKLAtALSEBIoH0riAIrdwa1KEVA2OAfMQyZ5csjM14llHX2tahqOX2PLSr0%2F6kkwrK9r6ts%2BFcKaq1eZix7h%2BAnG%2B4uZr%2Bl8oUK%2B3p3hLiJURVhkjyANgQzUOJTEIWN3BrUqRSgbBs5KKcrlySHOE1tXIq1qGl8V1MPh0KJlWF%2FX0AVYQjuk9xuvb7CGTzB%2BP6w6UL1D4wsoLrLttrEbW7cRjpGR8iFXcaMl3x3UKmxlw8BZKUWZPF6IS%2BVauVSVNjDWHQMu8PWBI6u1%2BEFc%2FaTBNQE7Um3Gf3RrZMIbLzgaf6cHKTV%2Bgr%2BgrF4w2iAj5UNrGmeWpga2GmXNzHkpjbKXsc22v5HUutIAsDbEpao8gCg%2FxtcHJsn19XV%2F7kGE4VafkvVtMF5oEp0ul3QezHhSKvTXYfSpJ%2FY6BSylSKd86A7FjZaqzwxsNXqEOxI4K2WmI2InI3z7fTLGDx93KHxLY5ZKvQ3IbDYN6wMDgLa%2Brnf5i16C1Y%2BMb9cHGJdp%2BpwHMxsFAkjTGg3qUgkYlo7MlA85ihssWZMFZ1Cr1rA6TgycWzVTFcP2%2B4lSh50hoqfkWxopleddFoD6nGl9YAD6%2BrptrB2SuE6xNNClubLjdtFgfDtmHqworrRG72x0qQSEokzUOJTEw7daI71B75akTyXVwFkpTrlVrjVZ6hDRZZy8ZJZKzkUPjTNkWh%2FYsJL%2BxzzIeLfH8Z3YyZ0D8eS2ZSAUlUD5UBIH2qfPD%2F7ORvpUUg2clTJTocK33%2FzOpi91iFqwfvCaQ%2BYEM43H1FjKerzN01UPqJ4O4nj1XAMyjXOrA%2FHktmUgFJVE%2BZBELueNyeVmQk8mZW7dJ2nI5VIljwaZP0Z5uFZzU34kdYiubY2cdygpwbRylLoeb7MwKkSB7ZjVaSEzvToYT25bFkK1IXPKh0LkcD7dowNIVNkx8ugLO%2FY4TddqbsqPpA6R06TvvORxEnDeCzFo8l6IPLnVPLnVPLnV3Gqe3Gqe3Gqe3Gqe3Gpu1dzf%2B5Zx1ShxcPUHT2uqktR9uN%2F4ST9UWThIq65taI95S7gaAsyddTWPzc%2FCB85JnHT3ZdVuUULel2C1UsTCYK8at0XAUMsNrdqm9pi9uQd4%2B5kPq569Prk%2BgOISkaEPeXS%2BDns%2FfJzXJ2oplMnGAoC1fVlV28%2FkGVX529x750BW5YcvgEox7EYrAYAQrL835ICJW09Xq09b5vkNGPi5kYl5jbPHVVmrjQMfqpWI9SE%2FQvTIRB0lnQdEgZlXarw%2BLRVBaTZ4o3opu9XOVQALCVK9%2BaqxkjcTDGT12RqKQBG1Z4eIDgMAEevvlVyGc2%2FYKRScYc8033pmHIxbq1crgZWxPrm4qwyc%2F1CN9D7kCnwfldtxTOPRRxc4j3biuOLqyKOEmGy0apCptTJa7RYRxnTc3yvlFYxWpdRBrDZnPIQvjuYQUQ0QgkgIredTchnOo5PRGufWZH3Y%2BVmPceDUZ12Ac1ld5zt%2FBF1G60MOqkA1CLxZjdPVlo01zkOpM%2BU4b9kpa5oxGyf7%2FGQ2qz5UCyrLyoaSp1V6KKVtKfvirkNEDWCH1khlL74u8Trnl3oTTqXIOXBnbw0mTgSdQ6bXg4zeh7wePrZX0%2FjVsF%2BS8UhqoPEppFhlNkaEAKA3cJJtvi3oYCfWY4a73BUu1Q%2Bri8JBWj0UjbP%2BXsllOPfCRtc7PJ3L%2B8RKMXsd8%2BOKKzgngMmqJ4TWh1xBtSq%2FHtL4j1uyC4vxUiRV449ZKVa5DfNBecmDjHcpjh9FYyM81VSHg5S7XHZXPJBVMe9J2JgXQ0Rvi8ZZf2%2FIARO3Xd93bc5hd4rmOkIYuSASOienWisBf7J2F%2Bl9yMF8oTAfHNHrHHGGq8MOMY5Qqs6D4SqApHUDlY1Uq803IPNGM46xOb3S60F9JIHd5Wa7K%2B5vjcj8B%2Bdbxei9SbE1FPb3yrD%2B3r14ESgmzR%2BUE93xaQC1u8q8D1neA4%2FxOmO%2FUHAqBo67AmKcnMK4B0qIspFqlVY3AGysanRzTgJrppx2l8vvige7W7pmeTPAjGddG%2Br394L19751nJzCFeDpsrEPucjmZ%2BdK%2BIxFhjAbKVZpxYK1osO56MGDlLtcdlc8sFVn%2BHQABKdl735Cf%2B9bwtUQwOBB1g%2BGiYfZSLVKFxuXyBwn5S6X3RUPbpWcJgkx1JS9%2Bwn9vW8lZ82xB1%2BfiU4ZEOYNCqablDXqLlfXGuz1M3kvRJ7vZKt5cqu51Ty51Ty51Ty51Ty51Ty51dxqntyqe5W%2BrZP3A3dhd4g6NrpkSqc7BibV%2FgjtM4twDXRsjIyxYXMI9dUcn7Lk1VdfVd%2FexFSAA18nOXs%2F8GGrhoUF1KzDxOyVbAAvMKv34RNkSGdxbGyxY%2Bb%2F%2Bs84xFKCefnoFoCUngEebT3LoppfjM265ZZb1Lc3Ma94IgbcItsUxlPWSWZWk%2Fty8fyMBXgzzzN5lSkAaH%2BNDdTwx2jM1aC7iDCLrpE%2F0XLZ86kBNZd4mvuwiv5f%2FAwt2sb5yGrV9d3kA8b3GfUN9Yus0YdvTzrn6ySbrZYAWEJYAEqs6tGjkDG8iBrjj8Mj1oh1N71g8xZ6dTLg%2FHvvk1w75Ot13JexOUCoMNvFViQVFzJYnZubU9%2F44svmAyb6ptNCFWHM%2FVvvT9p%2BkdFqtE4y36DIqi%2BtHo6a%2FGp6X64AgNtuAwBBsawB3tnpf6e%2F6Ih%2BE8DCC9p1%2BAjaaABAFUdM%2FE%2F9Zcm1C8%2FHPw5UiMUF4GY8VoWY96zXZfuIQLWQwSoA9S198WX3BqRAH8AN7TBadAv8L36%2Fhp28lO1YbTDbKuaO1cgq%2FKFIJ1yXrwGrrLLzrHX661PsRbfUbQKsTBfWu%2FHRNoAfs9Dl%2FI87KxZ7HWwCm8o1270Zr6vB6T8ddRkqqZmtmhdf5qsJTmktOoVJQCw7hl3%2F09jJV7JZ%2FWAJKsUUq%2FrfgG4AwFNP8fV%2Bj27nttvkV%2F1Qsi4egcwXY%2FzyjxKssFqLVB7Edae%2B9gBQb17Hgzfz49v8d%2FAXiUKuUkLjV4FfbaBkasYDipUYhdj9h7T8QhHe2%2F820TrtzyqX2kjSyhYX7QHmXf%2Bz6KfRzGS1UT4FlXtSra6ryevJ%2Fbp0224ols96zxchU9c3bwrX7wSA10llro7umXcA9TNd1Odi3Jf8E%2BTHOLk1fMZpt53PoObqUtsA2kpryrFakVJPFivqHjijVSa1Ol2VWolpZVKJkqwGHqI8SZmsfrADFXzRZJWvnyyDaoH166afgXuHEMY7wzfvhVUA6N2Mz1i4f0KIiadgndH4kY9b6HU1fh%2FaPXr8ceq1tcWwi965ZQDL57xilmM1%2BszJb9b023sPO9Hu9uqA36n4QDum7gLkbipUgQvEtTKpBCTcqI6KMN4ns1ktPwqVapNb5Vqj62q1wPqB0626dv%2Fm52mHLeiOBypyRHvqbUwtLEyhPezEeRXAn22hGuMdeB%2BLtvpjHjqx%2BqdXZfXK6ul20rHK%2B2%2FDjxTFhIwKwLoiZEbJ2Nb%2BOFvnVH3TtUYbzy35ScveVvCJbFZbUMGXs7yzKURWC0OsHzjdqn18a1rMzwvWDP2xBsZ7D7GVyclZnnzyHe94cnLZ0Xhh8vfwR1%2FU1s4%2BiSj880rLTYrelzeXsxyr0lpAFIyyNd1hXuS6XEeYepmvc6q%2B6c%2BBVYLSKqVyTc9ls3ofVKxeyjrJrBeC9c2mWD0%2B3CQKAmJpPrNVJlisDlFveWJiuUfE%2BGv4B804ryCWCsXSmBfzjf3%2Fbiku1Y2k8pzZ8ABv4wwNFBGlwF4HTYFtDuFks1qDyvNp6yRzq6pvlm%2Fe6ip7uzTs7NFlTGKkTNmzIgKNBCIWbXg6oGA6bclrngJbG9gYZ2VUiNEVh96sCCmdwYQnMCpUmJtC4YB7IRz67kneC5Ent5ont5ont5ont5pbzZNbzZNbzZNbzZNbXZhaiIPcagtRii5ljQsYJy%2B4rnn3dlGkNzH4KFomHIbz0liR9T8fKF%2BcmlqUnMcdA7qUKXt0xNqAbZgeWu3%2FwFfRz4%2BQKa2rLUOTAYoV0%2FK0tg1qceFu7SzMi58i4Ul2i6a9VUzYIWiimdnqm7%2Fu8amv3XPna5LzHEFjck6C9P7kvZrRhICBhVZFNPYw%2BnmYWNzSGH7lGjR6yrhW47OwJbfxLOm53%2FspZhX4w8AFcXTDcJh1pn7jDRAL3viNqY7RK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<h1 class="title">lasagnar: Lasagna plots R package</h1>
<h4 class="author"><em>Bruce Swihart</em></h4>
<h4 class="date"><em>November 5, 2014</em></h4>
</div>
<p>[1] The original paper: <a href="http://journals.lww.com/epidem/Fulltext/2010/09000/Lasagna_Plots__A_Saucy_Alternative_to_Spaghetti.15.aspx">Lasagna Plots: A Saucy Alternative to Spaghetti Plots</a></p>
<p>[2] The follow-up paper for SAS code: <a href="http://journals.lww.com/epidem/Fulltext/2012/11000/Lasagna_Plots_Made_in_Different__Statistical_.33.aspx">Lasagna Plots Made in Different (Statistical) Ovens</a></p>
<p>There is <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2937254/bin/NIHMS225391-supplement-1.pdf">an appendix</a> for [1] that has some <code>R</code> code, but no one likes it. At the time the only option for supplemental materials was to put R code into a PDF, thus introducing a hurdle for easy usage. This repo on github has been long overdue. This repo is an R-package, and can be installed and ready to go with a few lines in R.</p>
<div id="quick-start" class="section level1">
<h1>Quick start!:</h1>
<pre class="r"><code>library(devtools)
install_github("swihart/lasagnar")
library(fields)
library(lasagnar)
library(ggplot2)
library(reshape2)
library(RColorBrewer)
library(colorspace)
## get me a matrix with rownames:
mat <- matrix(1:100, nrow=10, ncol=10, byrow=TRUE)[sample(1:10),]
rownames(mat) <- letters[1:nrow(mat)]
lasagna(mat)</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-1" /></p>
<p>Note: Windows machines will need to install <a href="http://cran.r-project.org/bin/windows/Rtools/">Rtools</a>. All machines will need to have run <code>install.packages("devtools")</code> at the R prompt once.</p>
</div>
<div id="base-and-ggplot2-implementation" class="section level1">
<h1>Base and ggplot2 implementation:</h1>
<pre class="r"><code>## the matrix containing data for Figure 02a
H.mat <- matrix(NA, nrow=4, ncol=6)
H.mat[1, 1:6] = 100*c(2, 1, 1, 1, 1, 2)
H.mat[2, 1:6] = 100*c(2, 2, 2, 3, 2, 1)
H.mat[3, 1:6] = 100*c(2, 2, 1, 1, 1, 3)
H.mat[4, 1:6] = 100*c(3, 3, 2, 1, 2, 3)
## set rownames with ids
rownames(H.mat)<-c("P1","T1","P2","T2")
## set colnames with time / location / column index:
colnames(H.mat)<-seq(ncol(H.mat))
## name your dimensions
names(dimnames(H.mat))<-c('Subject','Time')
## print out to see it!
H.mat</code></pre>
<pre><code>## Time
## Subject 1 2 3 4 5 6
## P1 200 100 100 100 100 200
## T1 200 200 200 300 200 100
## P2 200 200 100 100 100 300
## T2 300 300 200 100 200 300</code></pre>
<pre class="r"><code>## Fiddle with the margins:
par(mai = c(.34,.39,.34,.09))
## base:
lasagna(H.mat)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>## ggplot:
gglasagna(H.mat)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>## Choose a palette
palette <- brewer.pal(4, "PuOr")[-2]
lasagna(H.mat, col=palette)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>gglasagna(H.mat, col=palette)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>## Legends:
lasagna(H.mat, col=palette, legend=TRUE)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>gglasagna(H.mat, col=palette, legend=TRUE)</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>## however, you may want lasagna_plain() and customize the plot how you wish
## with axes statements, etc:
## variables to specify the scalar CEX multiplier for title, labels, and axis:
fig02.main <- 1.75
fig02.lab <- 1.75
fig02.axis <- 1.75
##
## Base:
##
## initial lasagna_plain() call followed by may title() and axis() calls:
lasagna_plain(H.mat,
col=palette,
axes=F,
xlab = "",
ylab = "", cex.lab=fig02.lab, tck=0, mgp=c(0,0,0))
box()
title("(A) Initial Lasagna Plot", adj=0)
axis(1, seq(0,1,1/5), 1:6, cex.axis=fig02.axis, tck=0, mgp=c(0,.50,0))
axis(2, seq(0,1,1/3), rev(c("P1","T1","P2","T2")),las=1,
cex.axis=fig02.axis, tck=0, mgp=c(0,.2,0))
## next two axis() calls add grid-lines:
axis(1,
c(1/10,3/10,5/10,7/10,9/10),
lab=NA,
tck=1,
lty=1,
col="black")
axis(2,
c(1/6,3/6,5/6),
lab=NA,
tck=1,
lty=1,
col="black") </code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
<pre class="r"><code>##
## ggplot2: There is currently no gglasagna_plain(), but below is the ggplot code
##
##library(ggplot2)
##library(reshape2)
H.df<-melt(H.mat)
## EDIT to nograpes answer:
## reorder the factor that is Subject by setting levels to the reverse order of rownames
H.df$Subject <- factor(H.df$Subject, levels = rev(rownames(H.mat)))
# If you want those exact colours the author used:
col<-palette[match(ordered(H.df$value),levels(ordered(H.df$value)))]
ggplot(H.df,aes(x=Time,y=Subject,fill=col)) +
geom_tile(colour='black') + scale_fill_identity() +
## add title:
ggtitle("(A) Initial Lasagna Plot")+
## adjust size and title position:
theme(axis.text=element_text(size=30),
axis.title=element_text(size=14,face="bold"),
plot.title = element_text(hjust = 0))+
## get all the breaks:
scale_x_discrete(breaks=1:6) +
## and for some reason need this line to zoom:
coord_cartesian(xlim=c(.49,6.51))</code></pre>
<p><img 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" alt="plot of chunk partystarted" /></p>
</div>
<div id="four-sorting-functions-wr-er-wc-ec." class="section level1">
<h1>Four sorting functions: <code>wr()</code>, <code>er()</code>, <code>wc()</code>, <code>ec()</code>.</h1>
<ul>
<li><code>wr()</code> sorts within-row: if the values being displayed are discrete, use <code>wr.disc()</code>; continuous use <code>wr.cont()</code>. <code>lasagna_plain(wr.disc(H.mat))</code> generates a within-row sorted <code>H.mat</code> where the smallest value (and corresponding color) is left-most; to control this use the <code>colorSeq</code> option: <code>lasagna_plain(wr.disc(H.mat), colorSeq=c(300,100,200))</code> (see code chunk below for full code; axes, etc.):</li>
</ul>
<p>Visualizing a within-row sort can be done with the following:</p>
<pre class="r"><code>## quick and dirty within-row sort viz:
lasagna(wr.disc(H.mat),col=palette, main="(B) Within-row sorting of (A): Orange Left-most")</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-2" /></p>
<p>However, the axes might need more customization. In that case, consider using <code>lasagna_plain()</code> (code is below):</p>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-3" /></p>
<p>And here is an example of sorting dark-purple first (code below): <img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-4" /></p>
<p>Code for orange-first within-row sort (default call to <code>wr.disc()</code> because orange is coded to lowest value):</p>
<pre class="r"><code>## within-row
lasagna_plain(wr.disc(H.mat),
col=palette,
axes=F,
xlab = "",
ylab = "", cex.lab=fig02.lab, tck=0, mgp=c(0,.50,0))
box()
title("(B) Within-row sorting of (A): Orange Left-most", adj=0)
## axis(1, seq(0,1,1/5), 1:6, cex.axis=fig02.axis, tck=0, mgp=c(0,.1,0))
axis(1, c(1/10,3/10,5/10,7/10,9/10),c("1/6","1/3","1/2","2/3","5/6") , cex.axis=fig02.axis, tck=0, mgp=c(0,.50,0))
axis(2,
seq(0,1,1/3),
rev(c("P1",
"T1",
"P2",
"T2")),
las=1,
cex.axis=fig02.axis, tck=0, mgp=c(0,.2,0))
axis(1,
c(1/10,3/10,5/10,7/10,9/10),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines
axis(2,
c(1/6,3/6,5/6),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines</code></pre>
<p>Code for dark-purple-first within-row sort (call to <code>wr.disc()</code> with <code>colorSeq</code> because dark-purple is coded to highest value):</p>
<pre class="r"><code>## within-row with colorSeq order control:
lasagna_plain(wr.disc(H.mat, colorSeq=c(300,100,200)),
col=palette,
axes=F,
xlab = "",
ylab = "", cex.lab=fig02.lab, tck=0, mgp=c(0,.50,0))
box()
title("(B) Within-row sorting of (A): Dark Purple Left-most", adj=0)
## axis(1, seq(0,1,1/5), 1:6, cex.axis=fig02.axis, tck=0, mgp=c(0,.1,0))
axis(1, c(1/10,3/10,5/10,7/10,9/10),c("1/6","1/3","1/2","2/3","5/6") , cex.axis=fig02.axis, tck=0, mgp=c(0,.50,0))
axis(2,
seq(0,1,1/3),
rev(c("P1",
"T1",
"P2",
"T2")),
las=1,
cex.axis=fig02.axis, tck=0, mgp=c(0,.2,0))
axis(1,
c(1/10,3/10,5/10,7/10,9/10),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines
axis(2,
c(1/6,3/6,5/6),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines</code></pre>
<ul>
<li><code>er()</code> sorts entire rows, preserving the temporal (columns) information. The default is to sort based on the percentage of occurences of the lowest value, and then the subject with the highest percentage will be the bottom row; the lowest will be the top.</li>
</ul>
<p>Visualizing an entire-row sort can be done with the following, where orange is the color coded to the lowest value:</p>
<pre class="r"><code>## quick and dirty entire-row sort viz:
lasagna(er(H.mat),col=palette, main="(C) Entire-row sorting of (A)")</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-7" /></p>
<p>For dark-purple:</p>
<pre class="r"><code>## quick and dirty entire-row sort viz:
lasagna(er(H.mat, orderVar=300),col=palette, main="(C) Entire-row sorting of (A)")</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-8" /></p>
<p>Also, do not need <code>er()</code> whatsoever. Below we calculate the mean value for each subject and then entire-row sort where the order is based on the subject-specific mean:</p>
<pre class="r"><code>## quick and dirty within-row sort viz:
rM = rowMeans(H.mat)
## see the ordering
sort(rM)</code></pre>
<pre><code>## P1 P2 T1 T2
## 133.3 166.7 200.0 233.3</code></pre>
<pre class="r"><code>## visualize lasagna plot with corresponding ordering
lasagna(H.mat[order(rM),],col=palette, main="(C) Entire-row sorting of (A)")</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-9" /></p>
<ul>
<li><code>wc()</code> sorts within-columns, scrambling the subject-specific nature of the rows but revealing a group-level temporal patterns. As with <code>wr()</code> there is a discrete and continuous implementation <code>wc.disc()</code> and <code>wc.cont()</code>.</li>
</ul>
<p>Visualizing a within-column sort can be done with the following, where orange is the color coded to the lowest value:</p>
<pre class="r"><code>## quick and dirty within-column sort viz:
lasagna(wc.disc(H.mat),col=palette, main="(D) Within-column sorting of (A)")</code></pre>
<p><img 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ss8/6Nuz8Su/LvKZLBZ/jRWSv/TmhtmqA97vuXf7HdmmKu3qd/jxj7ReUNEHue3GwPvV7dl+5mN9ma1HEPbx43mXOoECBCYV4F8olbaC+Rdo1IuLZUBl7eOfsW/NwEtc911wLl6u30rGq6tGx8Qy0y6spwb8bPdtevvgh4f69mnlC+UygjLi3rGbq7X887ooGV9T8dr6vU1jfa8Q5ov/Tbjr2L9dhH5RJ7l/D2L6Z+ZGH0qojgcN73lxslqM3nNJHOQsqynU/kd9zRPr142Xbv+Lm82lWsg65vyR12a51/a1pdKvZzJqqfL7tW3xM+f1xvuHcu/iPhSRNq8PiLvMma5fUTe5ctyVkQmeKX8MCrn1it5vfae/45oy+txXGV9Y6JyntlUXI6IejHP33OzfKK50qc+yvn2mXZ6U7/HjROj10F1z/zd/H4dD4pluQ7yuj8soreUa6bt40bvfNYJECAwbwLlgXredrDIJ867bKXkewiHKXdodL6gUc9qSdi297QPuppP+l+pO2dy+dC63nxCLvU8jnzSy5LHcfnu2mg/8g5Os+Sd1yy9ycme1pl/bu1pbiY9PZtutNq8rkticqNOdUPzd9i7j7zbNGxZ2TNgrv03z7O5v3yv46ClOUeO6T2P2ebJ33fenXxNxPqIUg6JygsjMlnP82ka7Yj13lKOuyyb2/MPoZnGNPsMWs/5m//OZjrP5jH07vfQAXc0yvkOsovm/M3zybHPaUzw8Kj/fSP2r7fl7+TZdb25GPVxozmXOgECBOZVoPlEPa87WqSTf79xXrds1Aep/lGj00ca9azetF4/v6d9mNUv1p0PjuVN6vqnGhM06+WOyRca2wepDpNQDjJfs08zkWi2N+sfj5Un9cRpsX5xRHliv0vUm+WPYyVfosyXm9OlJOpRrU7IH43yuEb93Ea9t9pMKIp16XPrUhlyOcj5lymH6VvGlGXeVfvHiLzrd2REvpT9g4gs94jIt4/8JGJ9RJZ8b2PzcWNtrOd7a7N8L6L3WOb6I2rc19AlcQwlMf2VPKhGeUyj3q86yvn2m7dsm+1x46jo8NC608ZY5nXcG+WPuUxUm7+HHDaOx42cRyFAgMC8C/Q+gM37DhfZDvIJt5R+CegjotPjIzJZen7EZyPyZbQs+TLvv++uXf+jvLw2jgS0zJqJwBfKSiwviyiJRmlubi9tvcvrGg23jfqtGutdVy+IHb6vJz4X6/kk/fGILA+LeGlEvqyZd/teFpG/h6dH5N25L0WUJ/V8ufPkiAMiXhDxxIgsuZ9+Nutje/pmeXREvg8xE6sXR6TRQi3fjAO7IiKXmShfFPHmiLMiStlQV8r53zzW3xCxNuKeEW+MKOVtpdJYlmSw0bS7Wq6jw2It3y6Rd13HUbbFJO+vJ7p3XT8+lq+OmOmuYd31Rou253ujiWZo+F6jrfm4cUq053WTJf8QOGKGKH+sHh7bfi2iWdIyy/l7Fn4SIECAwGIW+Hmc3FREPnk0y1tjJdv7xUWxfW1zUNRXReSTaI7LJKlt2TcGlnlyrs/PMNE/RFtuK3H7nj7rGttW1Nue3GjLxC0TjDzmHFvmOS3qzZJPmrmtJDO5bW3dlu2vyIYod4goc7x8d8v1P2aa4/qtN67lXJsiynw7GvU87pMjSvmtqDS3N+v58vZDSsdYrosocxaT3Py5RnueZ76VIffzw7p9fSxLeUJUyhz5h0kpeYeutDeP74RG+4l153FY5XnnMeY+81rJpKscb7Z9MKKUTOC/GlGOr2mUbWeVjvUyX77P9tne0nFevT375DG8ImJtoy3XS3lnVEq/0pbLe9ftue33sqEuR8cy95vtzfh6Y/3UqPcrw57vf8Zkua/v9Ju0sa33cWNlbCvHfE3U92v0bVYfFyvlnM5sbBjX40ZjSlUCBAjMn8Dy+Zt6ycx8Tn2mxw1wxvlE+6OIfNn3TyLuFHFxRLPcLVZWR+STTN6da1u2xMBybDnHp2aYKJOEUvKO6EVlpc8yE8FMVLIsi8gk79BcWWDlwjieTFDSMC1XRGRJ76dF5J3TUt4VlZMivhyRdzKzbybWOfZeEeV8ozpryYSxJGiZvOT4TNbTa6GWPO88xvMi8pp7cET+IZFJ999HPCOilKui8siIdRGXRRTPDVF/aUQmRsOUl0fnvEZLmS3hKtuHWeYdwF+J+LeIn0Tk+l9HZMJdSv6e+5Vxn2/vvsq/zePqDXnn/NZ1/QOx3FzXexcfjYY8pyz5B8ttdtf2fBftOB436uksCBAgQGChC/xqHGAmOJeO6UD/rJ7vc2Oab76mOTwmPioik9CFXvaPA7xHxGERcx3vPtHnrhF5B7lNyWQ8k7hJK7eIA/6liCMiVkbMVY6IDnkNjFLSOP/gOnCUSWYYe1y0zTRv/kGS/1YznhcxTDkiOo96vs39LdXHjaaBOgECBAiMKPAfMT6f1PJJb9SSd0dzrubdmlHnNJ7AUhLIO9Yl0XxJ1PPuav6x9M5Geyaje7t43NjbvwH7J0CAwIQLnBDHn094rx3xPPJDHTnPtyO8PWJETMOXrMBT48xLAjrTMl/iXgjF48ZC+C04BgIECEywQL6smx8+yA8P3HSE81gXY/MJM99rpxAg0F7gsTH0MxE/jdgVkf8289/oSyPavr0iho61eNwYK6fJCBAgsDQF8lOo+VLfKHcu8/2H4/wwxtL8TThrAjcUKB+YumHrwljzuLEwfg+OggABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECHAss63Ndi29WL44SeF3H1YjuxBXo+h8VxbY64aoEe32I7rEPjhFZG/HSxndgCPZ+bxHEdHHHpAj2+xXZYq+KE1kZcsNhObAGfz53j2L6/gI9vsR3a1jihx0ZsXKgnJgFt/5v5j/vd9ln3Wbl8n/YzGDmwwAVXfqY6YM1h1S1vcqeBx+jYXuBH1/xnddjRN60eefzJ7ScxcmCB8y/4dvXxsz5cHXuLRw88Rsf2Aluvu7q6aMsnqxc996/aT2LkUAKvfM1zq/vd5tnV8mUrhhqnczuBr1zy5p1T1a57x+hvt5th/kflHQ6lncCOlcvXVAfve3i70UYNJbB6xU2q/Vcfwnsotfadf7FlfXXwQYdURx151/aTGDmwwMZrr6pWrdjX9T2w2GgdN624slq1Y7XrezTGoUYvi9td+XwpAR2KrXXnfVfe9NrNOza0Ht/FwOVd7MQ+CBAgQIAAAQIECBQBCWiRsCRAgAABAgQIEOhEQALaCbOdECBAgAABAgQIFAEJaJGwJECAAAECBAgQ6ERAAtoJs50QIECAAAECBAgUAQlokbAkQIAAAQIECBDoREAC2gmznRAgQIAAAQIECBQBCWiRsCRAgAABAgQIEOhEQALaCbOdECBAgAABAgQIFAEJaJGwJECAAAECBAgQ6ERAAtoJs50QIECAAAECBAgUAQlokbAkQIAAAQIECBDoREAC2gmznRAgQIAAAQIECBQBCWiRsCRAgAABAgQIEOhEQALaCbOdECBAgAABAgQIFAEJaJGwJECAAAECBAgQ6ERAAtoJs50QIECAAAECBAgUAQlokbAkQIAAAQIECBDoREAC2gmznRAgQIAAAQIECBQBCWiRsCRAgAABAgQIEOhEQALaCbOdECBAgAABAgQIFAEJaJGwJECAAAECBAgQ6ERAAtoJs50QIECAAAECBAgUAQlokbAkQIAAAQIECBDoREAC2gmznRAgQIAAAQIECBSBlaUyAcsVcYz79DnOnbFte8SuPn3m2rQ6OhwWcWXExrk6206AAAECBAgQIDC8wCTdAT0xTu/aPrEltmUSuiHi8xGnRBwQMUz5m+h8UcSzhhmkLwECBAgQIECAwOACk5SADnpWB0XHh0S8LWJ9xDERg5STo9OLBumoDwECBAgQIECAQHuBSXoJvnmWr46Vrzcbor4sYk3ELSNeGHFkxCERH4m4f0TeGZ2tPD02ZMK6GBPy2c5ZOwECBAgQIEBgrwhMagL6ldD6UB+x02PbGRFPjLhjxHMiXhPRW/L9nm+MOKF3g3UCBAgQIECAAIH5EVisd/zyvaIvb5A9sFEv1VOi8r2Iknx+sGywJECAAAECBAgQmD+BxZqAplgml5fUdPetl83Fa2Ml3y+6OSLvkD41QiFAgAABAgQIEJhngcWcgCZdfnVTlqv3LG7wMz81//qIoyPy/Z8KAQIECBAgQIBABwKT+h7QQWjuEp1uU3f87gwDcvvPZ2jXRIAAAQIECBAgMI8Ci/UO6LFh9u6G23sa9VKVfBYJSwIECBAgQIBAhwKTegf0aWF0nx6nPJdbRRwRkd8DWpLrD0e93yfmY3Orcs8rNl1QHbzv2laDDSJAgAABAgQILFWBSU1A80vj5yo7osMbIk6dq2PL7detWrFffu+oQoAAAQIECBAgMITApCagl8c55lctNUsmnJdGXByxPuLMiPMi5qtMLV9WPuM0X7swLwECBAgQIEBg8QlMagL6/PhVzMfL6ovvN+yMCBAgQIAAAQILTKC8T3KBHZbDIUCAAAECBAgQWKwCEtDF+pt1XgQIECBAgACBBSogAV2gvxiHRYAAAQIECBBYrAIS0MX6m3VeBAgQIECAAIEFKiABXaC/GIdFgAABAgQIEFisAhLQxfqbdV4ECBAgQIAAgQUqIAFdoL8Yh0WAAAECBAgQWKwCk/Q9oP8av4SM+SrbYuJl8zW5eQkQIECAAAECBPYIuAPqSiBAgAABAgQIEOhUQALaKbedESBAgAABAgQISEBdAwQIECBAgAABAp0KSEA75bYzAgQIECBAgAABCahrgAABAgQIECBAoFMBCWin3HZGgAABAgQIECAgAXUNECBAgAABAgQIdCogAe2U284IECBAgAABAgQkoK4BAgQIECBAgACBTgUkoJ1y2xkBAgQIECBAgIAE1DVAgAABAgQIECDQqYAEtFNuOyNAgAABAgQIEJCAugYIECBAgAABAgQ6FZCAdsptZwQIECBAgAABAhJQ1wABAgQIECBAgECnAhLQTrntjAABAgQIECBAQALqGiBAgAABAgQIEOhUQALaKbedESBAgAABAgQISEBdAwQIECBAgAABAp0KSEA75bYzAgQIECBAgAABCahrgAABAgQIECBAoFMBCWin3HZGgAABAgQIECAgAXUNECBAgAABAgQIdCogAe2U284IECBAgAABAgQkoK4BAgQIECBAgACBTgUkoJ1y2xkBAgQIECBAgMAyBK0Fdi5ftmL58mUrW09g4OACO3ftqJYtW1aF+eCD9GwtsGtqZ7V8xbJq1arVrecwcHCBnTt3Vtdt316tWL5q8EF6thaYmpqqdlXXVfvss1/rOQwcTmDLlk3VyuVrhhukd2uBHbu2TcXgkyI+0HqSeR4oe2oPPPWI40+qnvi432k/g5EDC5zx7tdUdzzyrtWDHvDrA4/Rsb3Axz/93uraa6+qTjzhue0nMXJgge989yvVuWe+vHr9vfI5Q5lvgUs2T1WnnHer6pV//s753pX5a4Hn/+GjquNu/0duInR0RXzxotdes2XnVT/saHetdiMBbcW2Z1DeHdpv35uMMIOhgwqsXLmqWr16H96Dgo3Yb/WqNbvvfrq+R4QccPiaNfvG3aFl1QGrvCg1INlI3W4Sz3zLly/3eDKS4nCD8xWsVSv2kYAOx9a6d3pHWdB/0XoPaOtfr4EECBAgQIAAAQJtBCSgbdSMIUCAAAECBAgQaC0gAW1NZyABAgQIECBAgEAbAQloGzVjCBAgQIAAAQIEWgtIQFvTGUiAAAECBAgQINBGQALaRs0YAgQIECBAgACB1gIS0NZ0BhIgQIAAAQIECLQRkIC2UTOGAAECBAgQIECgtYAEtDWdgQQIECBAgAABAm0EJKBt1IwhQIAAAQIECBBoLSABbU1nIAECBAgQIECAQBsBCWgbNWMIECBAgAABAgRaC0hAW9MZSIAAAQIECBAg0EZAAtpGzRgCBAgQIECAAIHWAhLQ1nQGEiBAgAABAgQItBGQgLZRM4YAAQIECBAgQKC1gAS0NZ2BBAgQIECAAAECbQQkoG3UjCFAgAABAgQIEGgtIAFtTWcgAQIECBAgQIBAGwEJaBs1YwgQIECAAAECBFoLSEBb0xlIgAABAgQIECDQRkAC2kbNGAIECBAgQIAAgdYCEtDWdAYSIECAAAECBAi0EZCAtlEzhgABAgQIECBAoLWABLQ1nYEECBAgQIAAAQJtBFa2GbSXxqyI/e4zwr63x9jr5hi/OrYfFnFlxMY5+tpMgAABAgQIECDQQmCS7oCeFOd37QjxqgF8/ib6XBTxrAH66kKAAAECBAgQINBCYJIS0BanN9SQk6P3i4YaoTMBAgQIECBAgMDQApP0EvzZcXYnznKGp0X73SKujjglYqZy/kyNddvTY/m2CAl5HySbCBAgQIAAAQLjEJikBPSyOOGMmcoL6sZtsfzATB1macv3e74x4oRZtmsmQIAAAQIECBAYs8BSvuOXd0q/F1GSzw+O2dZ0BAgQIECAAAECMwgs5QT0teFxUMTmiOdEPDVCIUCAAAECBAgQmGeBpZyAbgnb10ccHZHv/1QIECBAgAABAgQ6EJik94COm+MuMeHPxz2p+QgQIECAAAECBPoLLOU7oCMnn1PVVH9dWwkQIECAAAECBG4ksJQT0BthDNmw/Oqr8z9MUggQIECAAAECBIYRkIAOo3XDvrsOuunNbthijQABAgQIECBAYE4BCeicRDoQIECAAAECBAiMU0ACOk5NcxEgQIAAAQIECMwpIAGdk0gHAgQIECBAgACBcQpIQMepaS4CBAgQIECAAIE5BSSgcxLpQIAAAQIECBAgME4BCeg4Nc1FgAABAgQIECAwp4AEdE4iHQgQIECAAAECBMYpIAEdp6a5CBAgQIAAAQIE5hSQgM5JpAMBAgQIECBAgMA4BVaOc7K9ONfDx7DvbTHHsjHMYwoCBAgQIECAAIE+Au6A9sGxiQABAgQIECBAYPwCEtDxm5qRAAECBAgQIECgj4AEtA+OTQQIECBAgAABAuMXkICO39SMBAgQIECAAAECfQQkoH1wbCJAgAABAgQIEBi/gAR0/KZmJECAAAECBAgQ6CMgAe2DYxMBAgQIECBAgMD4BSSg4zc1IwECBAgQIECAQB8BCWgfHJsIECBAgAABAgTGLyABHb+pGQkQIECAAAECBPoISED74NhEgAABAgQIECAwfgEJ6PhNzUiAAAECBAgQINBHQALaB8cmAgQIECBAgACB8QtIQMdvakYCBAgQIECAAIE+AhLQPjg2ESBAgAABAgQIjF9AAjp+UzMSIECAAAECBAj0EZCA9sGxiQABAgQIECBAYPwCEtDxm5qRAAECBAgQIECgj4AEtA+OTQQIECBAgAABAuMXkICO39SMBAgQIECAAAECfQQkoH1wbCJAgAABAgQIEBi/gAR0/KZmJECAAAECBAgQ6CMgAe2DYxMBAgQIECBAgMD4BSSg4zc1IwECBAgQIECAQB8BCWgfHJsIECBAgAABAgTGL7By/FMunRm3bttcXXX1FUvnhPfimW7fvrXavHkj745+B1u2bKq2btvCuyPvazddU23bOVX9bOtUR3tc2ru5cttUtXPnTtd3h5fB1NRUtXXHxmr5Mve9umDfNbVrWexnRRf7aruPPEClncCuNav3XbbPvvu1G23UUAKbN19brVy5qlq9es1Q43RuJ7Atks9l122ubuJP1HaAQ47avquqtuysqpuuGnKg7q0EItevrtpeVYd6OGnl12bQz7fF9X3goVUl62jDN/SYa67ZsGtqateJMfDMoQd3NMDTS3voXY84/qQVT37iC9rPYOTAAqef8crqmKPuUT3klx878Bgd2wuc9fF3VQd+603Vnx7rIaK94uAjP/PTndW7L9lVvfW+MtDB1dr3vHjTVPXMr2+vPnu8DLS94nAjj/noturv//pD1coVHlOGk2vX+w9f+sSNV1x5+UXtRnczyr3wbpzthQABAgQIECBAoBaQgLoUCBAgQIAAAQIEOhWQgHbKbWcECBAgQIAAAQISUNcAAQIECBAgQIBApwIS0E657YwAAQIECBAgQEAC6hogQIAAAQIECBDoVEAC2im3nREgQIAAAQIECEhAXQMECBAgQIAAAQKdCkhAO+W2MwIECBAgQIAAAQmoa4AAAQIECBAgQKBTAQlop9x2RoAAAQIECBAgIAF1DRAgQIAAAQIECHQqIAHtlNvOCBAgQIAAAQIEJKCuAQIECBAgQIAAgU4FJKCdctsZAQIECBAgQICABNQ1QIAAAQIECBAg0KmABLRTbjsjQIAAAQIECBCQgLoGCBAgQIAAAQIEOhWQgHbKbWcECBAgQIAAAQISUNcAAQIECBAgQIBApwIS0E657YwAAQIECBAgQEAC6hogQIAAAQIECBDoVEAC2im3nREgQIAAAQIECEhAXQMECBAgQIAAAQKdCkhAO+W2MwIECBAgQIAAAQmoa4AAAQIECBAgQKBTgZWd7m20na2I4fv0mWJnbNsesatPn36bDomNmyK29etkGwECBAgQIECAwGgCk3QH9MQ41Wv7xJbYlknohojPR5wScUBEv3JSbPxyRI65MmJzxIURZ0TcNkIhQIAAAQIECBAYs8AkJaCDnvpB0fEhEW+LWB9xTERvWRMNn454X8QDI3JMJp/LIo6MeEbEeRFPiVAIECBAgAABAgTGKDBJL8E3T/vVsfL1ZkPUM3nMxPKWES+MyEQyX1b/SMT9I/IuZymvicrDIqYiMlH9y4j1EftGPCritRGHR+S2b0acH6EQIECAAAECBAiMQWBSE9CvxLl/qM/5nx7b8mX0J0bcMeI5EZl0Zjkq4kW7a1X15lg+r67nIu+Cnhnx3YhvRewfkclpvlSvECBAgAABAgQIjEFgMb4Enyz5XtGXN3zyZfZSji+VWJ7WqDerF8TK++uG+zU3qBMgQIAAAQIECIwmMKl3QAc56+9Fp0si8qX0+zYG5Mvs34hYHfHTRntvNcdmyQ8jZd/8hL1CgAABAgQIECAwosBivQNaWPKrm7JcvWex++fr4mcmpPdotM1UvVvdmO//lHzOJKSNAAECBAgQINBCYDEnoHcJj9vUJvmezmHK0dH50fWArw0zUF8CBAgQIECAAIH+Aos1AT02TvvdjVN/T6M+V3VVdMgPJ+Uyv1v0VREzlp07d8zYrpEAAQIECBAgQGB2gUl9D+jT4pTu03NaeS63ijgi4iERJbn+cNT7fWI+Nk+X/Cqnd0QcV7e8LJazfQXTsk2bN9bdLAgQIECAAAECBAYVmNQE9OQBTjBvT74h4tQB+maXvOOZX99Uvnw+PwWf3wc6W5k68ICDZ9umnQABAgQIECBAYBaBSU1AL4/zya9aapZMOC+NuDhifUR+n2f+b0aDlAOiUyacj6w7Z/2pEbvqdQsCBAgQIECAAIExCUxqAvr8OP9BX1afiyo/qPTRiLvXHd8UyxdF7KzXLQgQIECAAAECBMYoUN4nOcYpJ2qqTDq/GpHL/G85/ywik1vJZyAoBAgQIECAAIH5EJjUO6DjsMj/H/4TEQdGbI14ZsR7IxQCBAgQIECAAIF5FFiqCeidw/RjEZl8XhXxmIizIxQCBAgQIECAAIF5FliKCWh+1VJ+2v2giPyez0dEnBOhECBAgAABAgQIdCCwFBPQZ4Xrg2rbfAk+74Zm9Cvvi435Mr1CgAABAgQIECAwosBSTECb3wt6QvhlzFU+GR1+Mlcn2wkQIECAAAECBOYWWGqfgs9vjj98bhY9CBAgQIAAAQIE5ktgku6A/msgZIxSNsTgfA+oQoAAAQIECBAgsJcEltod0L3EbLcECBAgQIAAAQJFQAJaJCwJECBAgAABAgQ6EZCAdsJsJwQIECBAgAABAkVAAlokLAkQIECAAAECBDoRkIB2wmwnBAgQIECAAAECRUACWiQsCRAgQIAAAQIEOhGQgHbCbCcECBAgQIAAAQJFQAJaJCwJECBAgAABAgQ6EZCAdsJsJwQIECBAgAABAkVAAlokLAkQIECAAAECBDoRkIB2wmwnBAgQIECAAAECRUACWiQsCRAgQIAAAQIEOhGQgHbCbCcECBAgQIAAAQJFQAJaJCwJECBAgAABAgQ6EZCAdsJsJwQIECBAgAABAkVAAlokLAkQIECAAAECBDoRkIB2wmwnBAgQIECAAAECRUACWiQsCRAgQIAAAQIEOhGQgHbCbCcECBAgQIAAAQJFQAJaJCwJECBAgAABAgQ6EZCAdsJsJwQIECBAgAABAkVAAlokLAkQIECAAAECBDoRkIB2wmwnBAgQIECAAAECRUACWiQsCRAgQIAAAQIEOhGQgHbCbCcECBAgQIAAAQJFYGWpWA4vcMWVP66+/1/fGH6gEUMLXHXVFdXlP17Pe2i5dgN++rPLqo1bpqovX7Gr3QRGDSVw3jW7qg3beQ+FNkLnn26dqrburFzfIxgOO3TXVFWd94NzqhXLVww7VP8WAtddtzWh92kxtLMhyzrb0+Lb0Y6bHXrrFTe/2WGL78wW4Bld/pP11c12/KK6xYL+57QA4Voe0o8i+dwRuefa/T1EtCQcatiG7VX1k0iKjj2Q91BwLTtn8vn9a6aqex3MuyXh0MO+euVUdb9DllXLkQ9t12bAORumdmzfVZ0QYz/aZnwXY9wBba+8+bG//tsHHP/gx7efwciBBU4/45XVb1z7serk2/nreWC0ETq+5cId1S8iKfrTYz1EjMA48NDP/HRn9e5LdlVvve+qgcfo2F7g4k1T1TO/vr161wNWt5/EyKEEjvnotuqM+6+qVslAh3Jr2/mhn9226bLN1Y/aju9inPeAdqFsHwQIECBAgAABAtMCEtBpChUCBAgQIECAAIEuBCSgXSjbBwECBAgQIECAwLSABHSaQoUAAQIECBAgQKALAQloF8r2QYAAAQIECBAgMC0gAZ2mUCFAgAABAgQIEOhCQALahbJ9ECBAgAABAgQITAtIQKcpVAgQIECAAAECBLoQkIB2oWwfBAgQIECAAAEC0wIS0GkKFQIECBAgQIAAgS4EJKBdKNsHAQIECBAgQIDAtIAEdJpChQABAgQIECBAoAsBCWgXyvZBgAABAgQIECAwLSABnaZQIUCAAAECBAgQ6EJAAtqFsn0QIECAAAECBAhMC0hApylUCBAgQIAAAQIEuhCQgHahbB8ECBAgQIAAAQLTAhLQaQoVAgQIECBAgACBLgQkoF0o2wcBAgQIECBAgMC0gAR0mkKFAAECBAgQIECgCwEJaBfK9kGAAAECBAgQIDAtIAGdplAhQIAAAQIECBDoQkAC2oWyfRAgQIAAAQIECEwLSECnKVQIECBAgAABAgS6EJCAdqFsHwQIECBAgAABAtMCEtBpChUCBAgQIECAAIEuBFZ2sZMx7WNFzLPPCHNtj7HX9Rl/SGzbFLGtTx+bCBAgQIAAAQIERhSYpDugJ8W5XjtCvGoGq5zzyxEbIq6M2BxxYcQZEbeNUAgQIECAAAECBMYsMEkJ6DhPfU1M9umI90U8MOKgiEw+l0UcGfGMiPMinhKhECBAgAABAgQIjFFgkl6CPzvO+8RZzv20aL9bxNURp0TMVM5vNL4m6g+LmIp4W8RfRqyP2DfiURGvjTg8Ird9M6I5NlYVAgQIECBAgACBtgKTlIBeFieZMVN5Qd2Y79/8wEwdGm1HRf1F9fqbY/m8xra8C3pmxHcjvhWxf0Qmp/lSvUKAAAECBAgQIDAGgaX4EvzxDbfTGvVm9YJYeX/dcL/mBnUCBAgQIECAAIHRBCbpDuhoZ3r96HyZ/RsRqyN+en3zjWqX1C35YaTsm5+iVwgQIECAAAECBEYUWIp3QF8XZveNuMccdvme0iz5/k/J524KPwgQIECAAAECowssxQR0ELWjo9Oj645fG2SAPgQIECBAgAABAoMJSEBv7LQqmvLDSbncEjHT94dGc7Vi67bcrBAgQIAAAQIECAwjIAG9oVZ+D+g7Io6rm18Wy9m+gmnH8mX5nzMpBAgQIECAAAECwwhIQK/Xyjue6yLKl8/np+Dz+0BnK98/8ohjZ9umnQABAgQIECBAYBaBpfgp+JkoDojGTDgfWW/M+lMjdtXrFgQIECBAgAABAmMScAe0qm4Tll+KKMnnm6L+5IjrIhQCBAgQIECAAIExCyz1BPTu4fnViFzmf8v5ZxHPj9gZoRAgQIAAAQIECMyDwFJ+Cf7+4fmJiAMjtkY8M+K9EQoBAgQIECBAgMA8CizVBPTOYfqxiEw+r4p4TMTZEQoBAgQIECBAgMA8CyzFBDS/aun0iIMi8os8HxFxToRCgAABAgQIECDQgcBSTECfFa4Pqm3zJfi8G5rRr7wvNubL9AoBAgQIECBAgMCIAksxAT21YXZC1DPmKp+MDj+Zq5PtBAgQIECAAAECcwsstU/BHxwkh8/NogcBAgQIECBAgMB8CSyWO6APHxBoQ/TL94AqBAgQIECAAAECe0lgqd0B3UvMdkuAAAECBAgQIFAEJKBFwpIAAQIECBAgQKATAQloJ8x2QoAAAQIECBAgUAQkoEXCkgABAgQIECBAoBMBCWgnzHZCgAABAgQIECBQBCSgRcKSAAECBAgQIECgEwEJaCfMdkKAAAECBAgQIFAEJKBFwpIAAQIECBAgQKATAQloJ8x2QoAAAQIECBAgUAQkoEXCkgABAgQIECBAoBMBCWgnzHZCgAABAgQIECBQBCSgRcKSAAECBAgQIECgEwEJaCfMdkKAAAECBAgQIFAEJKBFwpIAAQIECBAgQKATAQloJ8x2QoAAAQIECBAgUAQkoEXCkgABAgQIECBAoBMBCWgnzHZCgAABAgQIECBQBCSgRcKSAAECBAgQIECgEwEJaCfMdkKAAAECBAgQIFAEJKBFwpIAAQIECBAgQKATAQloJ8x2QoAAAQIECBAgUAQkoEXCkgABAgQIECBAoBMBCWgnzHZCgAABAgQIECBQBCSgRcKSAAECBAgQIECgEwEJaCfMdkKAAAECBAgQIFAEVpaK5dACa877wTnV+kv+a+iBe3PAt879crVsWVWtWbPv3jyMoff9g//+VnXh9h3VOy7aOfTYvTlg886p3d77Lg/0CSpXbJ+qdu6qqrN/Hj8mqGzbNVXtiEPef+VkeW/cMVVt2F5Vj/1C/JigsmNqqtoc/yQPnDDv7XGd/HjL5HlPVVPVVddV1cGrJuv6zks6LvHqxedsr1Ysn6z7Xpdtnqp+7dbLqv1WTtZxb7quWrXQH0om7ypeOKIPiEN5ZsSOhXNIAx3JI6JX/t63DdR74XQ6LA4l/2CaNO98EIiH3ok77rTO6ySe7iaqrIijzZisTG7PMaf5pP27zGfl1RFbIyap5LW9T0SkoRNX9osj3jxxR11VedwXTOBx3zKO+ayISTNfH8f89xGTddcmDlghQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYuAL5Zn1l6QnkhwZuF5FvTp60D2tM2m/rkDjg/Ci5N4LP/28uPxCT3pP4wZL515nfPeSH7cpXa0zWVyfMr4vZJ1/goDgFj+GT/3t0BgtE4P/GceQns1+8QI5nsR3GSXFCX47YEJHOmXxeGHFGxG0jlPEKPDWm+2ZEJp7pfXHEP0c8MUKZf4FMPM+LSPtXzP/ultQe1sTZfjHi7AEiP9mvjEfguJjm3yIuisjrOr995fyIP4jIP7YUAgRaCJwcYzIhyn9UEtAWgH2G5JPFpyPStsSmqOdfz2V9Y9SfEqGMLpCv4Hwkotjm8qqe9f8V68r8Crwhpi+/AwnoeK3v1bAtxrMtJ+uLKsfrNM7ZXhKTZcJZnPMxvNRz+R8R5W5/VBUCBAYReHp0ypfcyz8mCeggaoP3eV1tmwnn6RG3j8i7Evn9d4+PyDtzaZ8PaEdHKKMJvDqGl2s57+rfrJ7u0Fj+XWPby+p2i/ELPLrhnL8LCeh4jZ9d+2ZClIl+v3AHdHT7vMNZHlM+EPWHRuQfuuUxpdxMeEu0KQQIDCBwWPQ5M6L8wypLCegAeAN2Oarh+6ZZxmSfa+t++fKO0l4g3+tZ/ph6+yzTvDva81r/4SzbNY8mcPMY/pOI8niSSwnoaKa9o19f+57bu8H62AXysxE/isjr+JyIXO8tH4mG3J6PPQf2brROgMANBU6J1fJexPyHk3/V5TJDAhoIYyq/E/MU11v2mfOMut8lffrYNLdAXtfF+86zdD+h0ccd51mQRmj+cO37zlheU9f/9wjzGXpjgS/Wrm+/8SYtYxZ4TsyXjyl5LefNgpnKw6Ix++RbfR45UwdtBAhcL7AxqvkPJl/2fXZEvk+xPHFLQANjTCUt871B355jvrxDlP75Us5Mf2HPMdzmWuDgWD484vl9RPJtD+Vav2effjYNL/C7tW3+IXXTCAno8IZzjciX1IvrC+fqbPvIAt+LGfLxIu869ys+hNRPxzYCDYGfRf11Ebep2ySgDZy9UC1vhfivvbDvpbbLfJ9WPqHky2rK+ATybnL+QZt/RB1fT1sSJXdAa5AxLJpv63lgPV++uvLgiNzmPZ81yhgWK2OO8uHcJ4xhPlMQIBAC+T6tZpGANjW6recTd3nfYr4Ur8yPwH4x7akR5e7nn8zPbpbkrPlE/fXa9u8aAhLQBsaYqvl1bnkNZ2L0WxHfqdfLdZ3mb4jYP0IZTeB2Mby4HhP1vM7z1ZX3ReT7nNdHvD/iNyIUAgRaCkhAW8KNOCxftvlsRD7IbY7IZFQZr8CfxnSfjPhFRDpvjXhGhDI+gfIWku/GlPs0ppWANjDGVH1lzFOSorLMP2DLBxlL24XR5vFkNPQHNKwPj/r/a6wX57J8Y2xbHaEQIDCkgAR0SLAxdM+Xyt4TUR7A/mAMc5rixgLnNYzTOu9cvDQi36OojC7wyzFFfh1QJkG/1DOdBLQHZAyrzSTo7JjvVyPybmc+ntwx4r0R5TElty+PUNoJnBjDiuWX6/pZsXxyRL794TkRP4goff486goBAkMKSECHBBuxe975fHtEeeDKr1/yRBEI81CeG3M+OiLvejYT/nNj/dYRSnuBA2LoDyPyOv6zGaaRgM6AMmLTqTE+k6C8lvNtJTOVt0RjeWzJJElpJ/CCGFYcc5l3+ntLJv+Z6Of2LRFHRSgECAwhIAEdAmvErvmk/YmI8sCWyWcmpEo3Avm+uWL/z93sctHu5e215ZdiOdMfUBLQvfOrz2+DyLf05HWeiarSTuA3Y1h5rMi3l6ycZZp7NPq9ZJY+mgkQmEVAAjoLzJib81sHvh1RHtTyfUMrxrwP080t8MHokr+D/CDHoXN312MGgZOiLQ0z0cmX3g+cITZGW/bJ/52qbHe9B0YH5Zuxj7TPxElpJ/CQGJaGGX87xxSX1/3WzdHPZgIEegQkoD0g87B695jz0oh8MNsVkR+OUfaOQH5/YnliyQ8aKMMLvCuGFMNhlvcffldGtBD4SP37+VGLsYbsETiyNszr+8VzoOSrANnvc3P0s3kOgdluM88xzGYCBGYRyCfdfNk97wLlp7CfGZEfFlDGK/DImO5eEXlX7vV9pt7U2JZPGgqBSRC4WRxk3pW7ecSnIy6ImK0cUW84f7YO2ucUaCbvd52j9y3q7VfM0c9mAgR6BNwB7QEZ4+qdY64NEZno5DI/NazMj8DpMW06Xxuxb59dvK7ul5/e7tevzxRLftPtQ+Dec0Qm+vn7eGujX35oQ2kn0Lwj95d9pshENf/QTft/6NPPprkFPh9d0vHcPl3zxsJ1db/T+vSziQCBGQQkoDOgjKEpvxrl7Ih8AMu7cvmErcyfwMkxdVpnzPa1VneIbSUx+kLUlfkT8CGk8dvm93vm9X1ZRH7YaKZS/hDLpOiYmTpoG1jgUdGzPKb87iyj/rrRh/csSJoJzCYgAZ1NZrT2U2J4efDK/27z6QNE84u8R9v70hu9Kk75axFpnneAnhrRLA+Mlf+OyO2ZhN4pQpk/AQno+G2b3+KQL8PftrGLfBwvd/fzGn9jY5tqe4HymJIJfX4yfnVjqt+Peran96sa7aoECAwoIAEdEGrIbhdH/3xgGiZuNeQ+dL+hwNpYzS+bL+b5PZX5/ttMPPPDX9meyWc+kSjzKyABnR/ffFm9XN/53ZOZIH0xIt96UtrfHPVmohSrSkuBfNXkPyOKbV7Xn4n4caPtn6KuECDQQkAC2gJtjiH58lh5wBpmKQGdA3aAzWn/hoh8j2fTPtc/GpHvX1TmX0ACOn/GJ8TU5W5+ucbzD6z80NFsLxXP39Es/pnzlam8o/yLiOKdy40Rfxfhw9uBMI6S71tTCBAgMOkC+aRxTEQmnHk3+ryIfGleIbBYBPIP1rzGV0ScE3F1hDK/AvlhsPxw6c8jvheRd54VAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBiPwP8H7hGAfIaBwqQAAAAASUVORK5CYII=" alt="plot of chunk unnamed-chunk-10" /></p>
<p>For orange (100) on top, dark-purple (300) middle, light-purple (200) on bottom:</p>
<pre class="r"><code>## specify colorSeq top to bottom:
lasagna(wc.disc(H.mat, colorSeq=c(100,300,200)),col=palette, main="(D) Within-column sorting of (A)")</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-11" /></p>
</div>
<div id="note-in-progress-below-this-line." class="section level1">
<h1>Note: in progress below this line.</h1>
<div id="note-in-progress-below-this-line.-1" class="section level2">
<h2>Note: in progress below this line.</h2>
<div id="note-in-progress-below-this-line.-2" class="section level3">
<h3>Note: in progress below this line.</h3>
<p>Something came to my attention while working on er(): no one wants to handle the axes comments themselves —- rewrite lasagna to include these and do automatic sorting (for instance, if you don’t include the axes comments in lasagna, you’ll have to do the sorting of the subject ids outside of the er() sorting…I mean, what a mess. )</p>
<ul>
<li><code>er()</code> sorts entire-row: if the values being displayed are discrete <code>lasagna_plain(er(H.mat))</code> generates an entire-row sorted <code>H.mat</code> where the smallest value (and corresponding color) is left-most; to control this use the <code>orderVar</code> option: <code>lasagna_plain(wr.disc(H.mat), colorSeq=c(300,100,200))</code> (see code chunk below for full code; axes, etc.): <img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-12" /></li>
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" alt="plot of chunk unnamed-chunk-13" /></p>
<pre class="r"><code>## within-row
lasagna_plain(wr.disc(H.mat),
col=palette,
axes=F,
xlab = "",
ylab = "", cex.lab=fig02.lab, tck=0, mgp=c(0,.50,0))
box()
title("(B) Within-row sorting of (A): Orange Left-most", adj=0)
## axis(1, seq(0,1,1/5), 1:6, cex.axis=fig02.axis, tck=0, mgp=c(0,.1,0))
axis(1, c(1/10,3/10,5/10,7/10,9/10),c("1/6","1/3","1/2","2/3","5/6") , cex.axis=fig02.axis, tck=0, mgp=c(0,.50,0))
axis(2,
seq(0,1,1/3),
rev(c("P1",
"T1",
"P2",
"T2")),
las=1,
cex.axis=fig02.axis, tck=0, mgp=c(0,.2,0))
axis(1,
c(1/10,3/10,5/10,7/10,9/10),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines
axis(2,
c(1/6,3/6,5/6),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines</code></pre>
<pre class="r"><code>## within-row with colorSeq order control:
lasagna_plain(wr.disc(H.mat, colorSeq=c(300,100,200)),
col=palette,
axes=F,
xlab = "",
ylab = "", cex.lab=fig02.lab, tck=0, mgp=c(0,.50,0))
box()
title("(B) Within-row sorting of (A): Dark Purple Left-most", adj=0)
## axis(1, seq(0,1,1/5), 1:6, cex.axis=fig02.axis, tck=0, mgp=c(0,.1,0))
axis(1, c(1/10,3/10,5/10,7/10,9/10),c("1/6","1/3","1/2","2/3","5/6") , cex.axis=fig02.axis, tck=0, mgp=c(0,.50,0))
axis(2,
seq(0,1,1/3),
rev(c("P1",
"T1",
"P2",
"T2")),
las=1,
cex.axis=fig02.axis, tck=0, mgp=c(0,.2,0))
axis(1,
c(1/10,3/10,5/10,7/10,9/10),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines
axis(2,
c(1/6,3/6,5/6),
lab=NA,
tck=1,
lty=1,
col="black") # grid lines</code></pre>
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