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Emphasis.dta
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Issue Attention--Figures.R
Issue Attention--Replication.do
README.html
README.txt
Spatial Issue Competition--Replication.pdf
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Spatial-Long-Term Effects.dta

README.html

<!DOCTYPE html>  
<html lang="US">
<head>
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  <title>readme</title>
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  <style id="mkstylesheet">
/*
This document has been created with Marked.app <http://marked2app.com>
Content is property of the document author
Please leave this notice in place, along with any additional credits below.
---------------------------------------------------------------
Title: GitHub
Author: Brett Terpstra
Description: Github README style. Includes theme for Pygmentized code blocks.
---
*/
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") format("woff");
  font-weight: normal;
  font-style: normal; }
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale; }

/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: .75em;
  vertical-align: -15%; }

.fa-2x {
  font-size: 2em; }

.fa-3x {
  font-size: 3em; }

.fa-4x {
  font-size: 4em; }

.fa-5x {
  font-size: 5em; }

.fa-fw {
  width: 1.28571429em;
  text-align: center; }

.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none; }
  .fa-ul > li {
    position: relative; }

.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: .14285714em;
  text-align: center; }
  .fa-li.fa-lg {
    left: -1.85714286em; }

.fa-border {
  padding: .2em .25em .15em;
  border: solid .08em #eeeeee;
  border-radius: .1em; }

.fa-pull-left {
  float: left; }

.fa-pull-right {
  float: right; }

.fa.fa-pull-left {
  margin-right: .3em; }
.fa.fa-pull-right {
  margin-left: .3em; }

/* Deprecated as of 4.4.0 */
.pull-right {
  float: right; }

.pull-left {
  float: left; }

.fa.pull-left {
  margin-right: .3em; }
.fa.pull-right {
  margin-left: .3em; }

.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear; }

.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8); }

@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg); }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg); } }
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg); }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg); } }
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg); }

.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg); }

.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg); }

.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1); }

.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1); }

:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none; }

.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle; }

.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center; }

.fa-stack-1x {
  line-height: inherit; }

.fa-stack-2x {
  font-size: 2em; }

.fa-inverse {
  color: #ffffff; }

/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass::before {
  content: '\f000'; }

.fa-music::before {
  content: '\f001'; }

.fa-search::before {
  content: '\f002'; }

.fa-envelope-o::before {
  content: '\f003'; }

.fa-heart::before {
  content: '\f004'; }

.fa-star::before {
  content: '\f005'; }

.fa-star-o::before {
  content: '\f006'; }

.fa-user::before {
  content: '\f007'; }

.fa-film::before {
  content: '\f008'; }

.fa-th-large::before {
  content: '\f009'; }

.fa-th::before {
  content: '\f00a'; }

.fa-th-list::before {
  content: '\f00b'; }

.fa-check::before {
  content: '\f00c'; }

.fa-remove::before,
.fa-close::before,
.fa-times::before {
  content: '\f00d'; }

.fa-search-plus::before {
  content: '\f00e'; }

.fa-search-minus::before {
  content: '\f010'; }

.fa-power-off::before {
  content: '\f011'; }

.fa-signal::before {
  content: '\f012'; }

.fa-gear::before,
.fa-cog::before {
  content: '\f013'; }

.fa-trash-o::before {
  content: '\f014'; }

.fa-home::before {
  content: '\f015'; }

.fa-file-o::before {
  content: '\f016'; }

.fa-clock-o::before {
  content: '\f017'; }

.fa-road::before {
  content: '\f018'; }

.fa-download::before {
  content: '\f019'; }

.fa-arrow-circle-o-down::before {
  content: '\f01a'; }

.fa-arrow-circle-o-up::before {
  content: '\f01b'; }

.fa-inbox::before {
  content: '\f01c'; }

.fa-play-circle-o::before {
  content: '\f01d'; }

.fa-rotate-right::before,
.fa-repeat::before {
  content: '\f01e'; }

.fa-refresh::before {
  content: '\f021'; }

.fa-list-alt::before {
  content: '\f022'; }

.fa-lock::before {
  content: '\f023'; }

.fa-flag::before {
  content: '\f024'; }

.fa-headphones::before {
  content: '\f025'; }

.fa-volume-off::before {
  content: '\f026'; }

.fa-volume-down::before {
  content: '\f027'; }

.fa-volume-up::before {
  content: '\f028'; }

.fa-qrcode::before {
  content: '\f029'; }

.fa-barcode::before {
  content: '\f02a'; }

.fa-tag::before {
  content: '\f02b'; }

.fa-tags::before {
  content: '\f02c'; }

.fa-book::before {
  content: '\f02d'; }

.fa-bookmark::before {
  content: '\f02e'; }

.fa-print::before {
  content: '\f02f'; }

.fa-camera::before {
  content: '\f030'; }

.fa-font::before {
  content: '\f031'; }

.fa-bold::before {
  content: '\f032'; }

.fa-italic::before {
  content: '\f033'; }

.fa-text-height::before {
  content: '\f034'; }

.fa-text-width::before {
  content: '\f035'; }

.fa-align-left::before {
  content: '\f036'; }

.fa-align-center::before {
  content: '\f037'; }

.fa-align-right::before {
  content: '\f038'; }

.fa-align-justify::before {
  content: '\f039'; }

.fa-list::before {
  content: '\f03a'; }

.fa-dedent::before,
.fa-outdent::before {
  content: '\f03b'; }

.fa-indent::before {
  content: '\f03c'; }

.fa-video-camera::before {
  content: '\f03d'; }

.fa-photo::before,
.fa-image::before,
.fa-picture-o::before {
  content: '\f03e'; }

.fa-pencil::before {
  content: '\f040'; }

.fa-map-marker::before {
  content: '\f041'; }

.fa-adjust::before {
  content: '\f042'; }

.fa-tint::before {
  content: '\f043'; }

.fa-edit::before,
.fa-pencil-square-o::before {
  content: '\f044'; }

.fa-share-square-o::before {
  content: '\f045'; }

.fa-check-square-o::before {
  content: '\f046'; }

.fa-arrows::before {
  content: '\f047'; }

.fa-step-backward::before {
  content: '\f048'; }

.fa-fast-backward::before {
  content: '\f049'; }

.fa-backward::before {
  content: '\f04a'; }

.fa-play::before {
  content: '\f04b'; }

.fa-pause::before {
  content: '\f04c'; }

.fa-stop::before {
  content: '\f04d'; }

.fa-forward::before {
  content: '\f04e'; }

.fa-fast-forward::before {
  content: '\f050'; }

.fa-step-forward::before {
  content: '\f051'; }

.fa-eject::before {
  content: '\f052'; }

.fa-chevron-left::before {
  content: '\f053'; }

.fa-chevron-right::before {
  content: '\f054'; }

.fa-plus-circle::before {
  content: '\f055'; }

.fa-minus-circle::before {
  content: '\f056'; }

.fa-times-circle::before {
  content: '\f057'; }

.fa-check-circle::before {
  content: '\f058'; }

.fa-question-circle::before {
  content: '\f059'; }

.fa-info-circle::before {
  content: '\f05a'; }

.fa-crosshairs::before {
  content: '\f05b'; }

.fa-times-circle-o::before {
  content: '\f05c'; }

.fa-check-circle-o::before {
  content: '\f05d'; }

.fa-ban::before {
  content: '\f05e'; }

.fa-arrow-left::before {
  content: '\f060'; }

.fa-arrow-right::before {
  content: '\f061'; }

.fa-arrow-up::before {
  content: '\f062'; }

.fa-arrow-down::before {
  content: '\f063'; }

.fa-mail-forward::before,
.fa-share::before {
  content: '\f064'; }

.fa-expand::before {
  content: '\f065'; }

.fa-compress::before {
  content: '\f066'; }

.fa-plus::before {
  content: '\f067'; }

.fa-minus::before {
  content: '\f068'; }

.fa-asterisk::before {
  content: '\f069'; }

.fa-exclamation-circle::before {
  content: '\f06a'; }

.fa-gift::before {
  content: '\f06b'; }

.fa-leaf::before {
  content: '\f06c'; }

.fa-fire::before {
  content: '\f06d'; }

.fa-eye::before {
  content: '\f06e'; }

.fa-eye-slash::before {
  content: '\f070'; }

.fa-warning::before,
.fa-exclamation-triangle::before {
  content: '\f071'; }

.fa-plane::before {
  content: '\f072'; }

.fa-calendar::before {
  content: '\f073'; }

.fa-random::before {
  content: '\f074'; }

.fa-comment::before {
  content: '\f075'; }

.fa-magnet::before {
  content: '\f076'; }

.fa-chevron-up::before {
  content: '\f077'; }

.fa-chevron-down::before {
  content: '\f078'; }

.fa-retweet::before {
  content: '\f079'; }

.fa-shopping-cart::before {
  content: '\f07a'; }

.fa-folder::before {
  content: '\f07b'; }

.fa-folder-open::before {
  content: '\f07c'; }

.fa-arrows-v::before {
  content: '\f07d'; }

.fa-arrows-h::before {
  content: '\f07e'; }

.fa-bar-chart-o::before,
.fa-bar-chart::before {
  content: '\f080'; }

.fa-twitter-square::before {
  content: '\f081'; }

.fa-facebook-square::before {
  content: '\f082'; }

.fa-camera-retro::before {
  content: '\f083'; }

.fa-key::before {
  content: '\f084'; }

.fa-gears::before,
.fa-cogs::before {
  content: '\f085'; }

.fa-comments::before {
  content: '\f086'; }

.fa-thumbs-o-up::before {
  content: '\f087'; }

.fa-thumbs-o-down::before {
  content: '\f088'; }

.fa-star-half::before {
  content: '\f089'; }

.fa-heart-o::before {
  content: '\f08a'; }

.fa-sign-out::before {
  content: '\f08b'; }

.fa-linkedin-square::before {
  content: '\f08c'; }

.fa-thumb-tack::before {
  content: '\f08d'; }

.fa-external-link::before {
  content: '\f08e'; }

.fa-sign-in::before {
  content: '\f090'; }

.fa-trophy::before {
  content: '\f091'; }

.fa-github-square::before {
  content: '\f092'; }

.fa-upload::before {
  content: '\f093'; }

.fa-lemon-o::before {
  content: '\f094'; }

.fa-phone::before {
  content: '\f095'; }

.fa-square-o::before {
  content: '\f096'; }

.fa-bookmark-o::before {
  content: '\f097'; }

.fa-phone-square::before {
  content: '\f098'; }

.fa-twitter::before {
  content: '\f099'; }

.fa-facebook-f::before,
.fa-facebook::before {
  content: '\f09a'; }

.fa-github::before {
  content: '\f09b'; }

.fa-unlock::before {
  content: '\f09c'; }

.fa-credit-card::before {
  content: '\f09d'; }

.fa-feed::before,
.fa-rss::before {
  content: '\f09e'; }

.fa-hdd-o::before {
  content: '\f0a0'; }

.fa-bullhorn::before {
  content: '\f0a1'; }

.fa-bell::before {
  content: '\f0f3'; }

.fa-certificate::before {
  content: '\f0a3'; }

.fa-hand-o-right::before {
  content: '\f0a4'; }

.fa-hand-o-left::before {
  content: '\f0a5'; }

.fa-hand-o-up::before {
  content: '\f0a6'; }

.fa-hand-o-down::before {
  content: '\f0a7'; }

.fa-arrow-circle-left::before {
  content: '\f0a8'; }

.fa-arrow-circle-right::before {
  content: '\f0a9'; }

.fa-arrow-circle-up::before {
  content: '\f0aa'; }

.fa-arrow-circle-down::before {
  content: '\f0ab'; }

.fa-globe::before {
  content: '\f0ac'; }

.fa-wrench::before {
  content: '\f0ad'; }

.fa-tasks::before {
  content: '\f0ae'; }

.fa-filter::before {
  content: '\f0b0'; }

.fa-briefcase::before {
  content: '\f0b1'; }

.fa-arrows-alt::before {
  content: '\f0b2'; }

.fa-group::before,
.fa-users::before {
  content: '\f0c0'; }

.fa-chain::before,
.fa-link::before {
  content: '\f0c1'; }

.fa-cloud::before {
  content: '\f0c2'; }

.fa-flask::before {
  content: '\f0c3'; }

.fa-cut::before,
.fa-scissors::before {
  content: '\f0c4'; }

.fa-copy::before,
.fa-files-o::before {
  content: '\f0c5'; }

.fa-paperclip::before {
  content: '\f0c6'; }

.fa-save::before,
.fa-floppy-o::before {
  content: '\f0c7'; }

.fa-square::before {
  content: '\f0c8'; }

.fa-navicon::before,
.fa-reorder::before,
.fa-bars::before {
  content: '\f0c9'; }

.fa-list-ul::before {
  content: '\f0ca'; }

.fa-list-ol::before {
  content: '\f0cb'; }

.fa-strikethrough::before {
  content: '\f0cc'; }

.fa-underline::before {
  content: '\f0cd'; }

.fa-table::before {
  content: '\f0ce'; }

.fa-magic::before {
  content: '\f0d0'; }

.fa-truck::before {
  content: '\f0d1'; }

.fa-pinterest::before {
  content: '\f0d2'; }

.fa-pinterest-square::before {
  content: '\f0d3'; }

.fa-google-plus-square::before {
  content: '\f0d4'; }

.fa-google-plus::before {
  content: '\f0d5'; }

.fa-money::before {
  content: '\f0d6'; }

.fa-caret-down::before {
  content: '\f0d7'; }

.fa-caret-up::before {
  content: '\f0d8'; }

.fa-caret-left::before {
  content: '\f0d9'; }

.fa-caret-right::before {
  content: '\f0da'; }

.fa-columns::before {
  content: '\f0db'; }

.fa-unsorted::before,
.fa-sort::before {
  content: '\f0dc'; }

.fa-sort-down::before,
.fa-sort-desc::before {
  content: '\f0dd'; }

.fa-sort-up::before,
.fa-sort-asc::before {
  content: '\f0de'; }

.fa-envelope::before {
  content: '\f0e0'; }

.fa-linkedin::before {
  content: '\f0e1'; }

.fa-rotate-left::before,
.fa-undo::before {
  content: '\f0e2'; }

.fa-legal::before,
.fa-gavel::before {
  content: '\f0e3'; }

.fa-dashboard::before,
.fa-tachometer::before {
  content: '\f0e4'; }

.fa-comment-o::before {
  content: '\f0e5'; }

.fa-comments-o::before {
  content: '\f0e6'; }

.fa-flash::before,
.fa-bolt::before {
  content: '\f0e7'; }

.fa-sitemap::before {
  content: '\f0e8'; }

.fa-umbrella::before {
  content: '\f0e9'; }

.fa-paste::before,
.fa-clipboard::before {
  content: '\f0ea'; }

.fa-lightbulb-o::before {
  content: '\f0eb'; }

.fa-exchange::before {
  content: '\f0ec'; }

.fa-cloud-download::before {
  content: '\f0ed'; }

.fa-cloud-upload::before {
  content: '\f0ee'; }

.fa-user-md::before {
  content: '\f0f0'; }

.fa-stethoscope::before {
  content: '\f0f1'; }

.fa-suitcase::before {
  content: '\f0f2'; }

.fa-bell-o::before {
  content: '\f0a2'; }

.fa-coffee::before {
  content: '\f0f4'; }

.fa-cutlery::before {
  content: '\f0f5'; }

.fa-file-text-o::before {
  content: '\f0f6'; }

.fa-building-o::before {
  content: '\f0f7'; }

.fa-hospital-o::before {
  content: '\f0f8'; }

.fa-ambulance::before {
  content: '\f0f9'; }

.fa-medkit::before {
  content: '\f0fa'; }

.fa-fighter-jet::before {
  content: '\f0fb'; }

.fa-beer::before {
  content: '\f0fc'; }

.fa-h-square::before {
  content: '\f0fd'; }

.fa-plus-square::before {
  content: '\f0fe'; }

.fa-angle-double-left::before {
  content: '\f100'; }

.fa-angle-double-right::before {
  content: '\f101'; }

.fa-angle-double-up::before {
  content: '\f102'; }

.fa-angle-double-down::before {
  content: '\f103'; }

.fa-angle-left::before {
  content: '\f104'; }

.fa-angle-right::before {
  content: '\f105'; }

.fa-angle-up::before {
  content: '\f106'; }

.fa-angle-down::before {
  content: '\f107'; }

.fa-desktop::before {
  content: '\f108'; }

.fa-laptop::before {
  content: '\f109'; }

.fa-tablet::before {
  content: '\f10a'; }

.fa-mobile-phone::before,
.fa-mobile::before {
  content: '\f10b'; }

.fa-circle-o::before {
  content: '\f10c'; }

.fa-quote-left::before {
  content: '\f10d'; }

.fa-quote-right::before {
  content: '\f10e'; }

.fa-spinner::before {
  content: '\f110'; }

.fa-circle::before {
  content: '\f111'; }

.fa-mail-reply::before,
.fa-reply::before {
  content: '\f112'; }

.fa-github-alt::before {
  content: '\f113'; }

.fa-folder-o::before {
  content: '\f114'; }

.fa-folder-open-o::before {
  content: '\f115'; }

.fa-smile-o::before {
  content: '\f118'; }

.fa-frown-o::before {
  content: '\f119'; }

.fa-meh-o::before {
  content: '\f11a'; }

.fa-gamepad::before {
  content: '\f11b'; }

.fa-keyboard-o::before {
  content: '\f11c'; }

.fa-flag-o::before {
  content: '\f11d'; }

.fa-flag-checkered::before {
  content: '\f11e'; }

.fa-terminal::before {
  content: '\f120'; }

.fa-code::before {
  content: '\f121'; }

.fa-mail-reply-all::before,
.fa-reply-all::before {
  content: '\f122'; }

.fa-star-half-empty::before,
.fa-star-half-full::before,
.fa-star-half-o::before {
  content: '\f123'; }

.fa-location-arrow::before {
  content: '\f124'; }

.fa-crop::before {
  content: '\f125'; }

.fa-code-fork::before {
  content: '\f126'; }

.fa-unlink::before,
.fa-chain-broken::before {
  content: '\f127'; }

.fa-question::before {
  content: '\f128'; }

.fa-info::before {
  content: '\f129'; }

.fa-exclamation::before {
  content: '\f12a'; }

.fa-superscript::before {
  content: '\f12b'; }

.fa-subscript::before {
  content: '\f12c'; }

.fa-eraser::before {
  content: '\f12d'; }

.fa-puzzle-piece::before {
  content: '\f12e'; }

.fa-microphone::before {
  content: '\f130'; }

.fa-microphone-slash::before {
  content: '\f131'; }

.fa-shield::before {
  content: '\f132'; }

.fa-calendar-o::before {
  content: '\f133'; }

.fa-fire-extinguisher::before {
  content: '\f134'; }

.fa-rocket::before {
  content: '\f135'; }

.fa-maxcdn::before {
  content: '\f136'; }

.fa-chevron-circle-left::before {
  content: '\f137'; }

.fa-chevron-circle-right::before {
  content: '\f138'; }

.fa-chevron-circle-up::before {
  content: '\f139'; }

.fa-chevron-circle-down::before {
  content: '\f13a'; }

.fa-html5::before {
  content: '\f13b'; }

.fa-css3::before {
  content: '\f13c'; }

.fa-anchor::before {
  content: '\f13d'; }

.fa-unlock-alt::before {
  content: '\f13e'; }

.fa-bullseye::before {
  content: '\f140'; }

.fa-ellipsis-h::before {
  content: '\f141'; }

.fa-ellipsis-v::before {
  content: '\f142'; }

.fa-rss-square::before {
  content: '\f143'; }

.fa-play-circle::before {
  content: '\f144'; }

.fa-ticket::before {
  content: '\f145'; }

.fa-minus-square::before {
  content: '\f146'; }

.fa-minus-square-o::before {
  content: '\f147'; }

.fa-level-up::before {
  content: '\f148'; }

.fa-level-down::before {
  content: '\f149'; }

.fa-check-square::before {
  content: '\f14a'; }

.fa-pencil-square::before {
  content: '\f14b'; }

.fa-external-link-square::before {
  content: '\f14c'; }

.fa-share-square::before {
  content: '\f14d'; }

.fa-compass::before {
  content: '\f14e'; }

.fa-toggle-down::before,
.fa-caret-square-o-down::before {
  content: '\f150'; }

.fa-toggle-up::before,
.fa-caret-square-o-up::before {
  content: '\f151'; }

.fa-toggle-right::before,
.fa-caret-square-o-right::before {
  content: '\f152'; }

.fa-euro::before,
.fa-eur::before {
  content: '\f153'; }

.fa-gbp::before {
  content: '\f154'; }

.fa-dollar::before,
.fa-usd::before {
  content: '\f155'; }

.fa-rupee::before,
.fa-inr::before {
  content: '\f156'; }

.fa-cny::before,
.fa-rmb::before,
.fa-yen::before,
.fa-jpy::before {
  content: '\f157'; }

.fa-ruble::before,
.fa-rouble::before,
.fa-rub::before {
  content: '\f158'; }

.fa-won::before,
.fa-krw::before {
  content: '\f159'; }

.fa-bitcoin::before,
.fa-btc::before {
  content: '\f15a'; }

.fa-file::before {
  content: '\f15b'; }

.fa-file-text::before {
  content: '\f15c'; }

.fa-sort-alpha-asc::before {
  content: '\f15d'; }

.fa-sort-alpha-desc::before {
  content: '\f15e'; }

.fa-sort-amount-asc::before {
  content: '\f160'; }

.fa-sort-amount-desc::before {
  content: '\f161'; }

.fa-sort-numeric-asc::before {
  content: '\f162'; }

.fa-sort-numeric-desc::before {
  content: '\f163'; }

.fa-thumbs-up::before {
  content: '\f164'; }

.fa-thumbs-down::before {
  content: '\f165'; }

.fa-youtube-square::before {
  content: '\f166'; }

.fa-youtube::before {
  content: '\f167'; }

.fa-xing::before {
  content: '\f168'; }

.fa-xing-square::before {
  content: '\f169'; }

.fa-youtube-play::before {
  content: '\f16a'; }

.fa-dropbox::before {
  content: '\f16b'; }

.fa-stack-overflow::before {
  content: '\f16c'; }

.fa-instagram::before {
  content: '\f16d'; }

.fa-flickr::before {
  content: '\f16e'; }

.fa-adn::before {
  content: '\f170'; }

.fa-bitbucket::before {
  content: '\f171'; }

.fa-bitbucket-square::before {
  content: '\f172'; }

.fa-tumblr::before {
  content: '\f173'; }

.fa-tumblr-square::before {
  content: '\f174'; }

.fa-long-arrow-down::before {
  content: '\f175'; }

.fa-long-arrow-up::before {
  content: '\f176'; }

.fa-long-arrow-left::before {
  content: '\f177'; }

.fa-long-arrow-right::before {
  content: '\f178'; }

.fa-apple::before {
  content: '\f179'; }

.fa-windows::before {
  content: '\f17a'; }

.fa-android::before {
  content: '\f17b'; }

.fa-linux::before {
  content: '\f17c'; }

.fa-dribbble::before {
  content: '\f17d'; }

.fa-skype::before {
  content: '\f17e'; }

.fa-foursquare::before {
  content: '\f180'; }

.fa-trello::before {
  content: '\f181'; }

.fa-female::before {
  content: '\f182'; }

.fa-male::before {
  content: '\f183'; }

.fa-gittip::before,
.fa-gratipay::before {
  content: '\f184'; }

.fa-sun-o::before {
  content: '\f185'; }

.fa-moon-o::before {
  content: '\f186'; }

.fa-archive::before {
  content: '\f187'; }

.fa-bug::before {
  content: '\f188'; }

.fa-vk::before {
  content: '\f189'; }

.fa-weibo::before {
  content: '\f18a'; }

.fa-renren::before {
  content: '\f18b'; }

.fa-pagelines::before {
  content: '\f18c'; }

.fa-stack-exchange::before {
  content: '\f18d'; }

.fa-arrow-circle-o-right::before {
  content: '\f18e'; }

.fa-arrow-circle-o-left::before {
  content: '\f190'; }

.fa-toggle-left::before,
.fa-caret-square-o-left::before {
  content: '\f191'; }

.fa-dot-circle-o::before {
  content: '\f192'; }

.fa-wheelchair::before {
  content: '\f193'; }

.fa-vimeo-square::before {
  content: '\f194'; }

.fa-turkish-lira::before,
.fa-try::before {
  content: '\f195'; }

.fa-plus-square-o::before {
  content: '\f196'; }

.fa-space-shuttle::before {
  content: '\f197'; }

.fa-slack::before {
  content: '\f198'; }

.fa-envelope-square::before {
  content: '\f199'; }

.fa-wordpress::before {
  content: '\f19a'; }

.fa-openid::before {
  content: '\f19b'; }

.fa-institution::before,
.fa-bank::before,
.fa-university::before {
  content: '\f19c'; }

.fa-mortar-board::before,
.fa-graduation-cap::before {
  content: '\f19d'; }

.fa-yahoo::before {
  content: '\f19e'; }

.fa-google::before {
  content: '\f1a0'; }

.fa-reddit::before {
  content: '\f1a1'; }

.fa-reddit-square::before {
  content: '\f1a2'; }

.fa-stumbleupon-circle::before {
  content: '\f1a3'; }

.fa-stumbleupon::before {
  content: '\f1a4'; }

.fa-delicious::before {
  content: '\f1a5'; }

.fa-digg::before {
  content: '\f1a6'; }

.fa-pied-piper-pp::before {
  content: '\f1a7'; }

.fa-pied-piper-alt::before {
  content: '\f1a8'; }

.fa-drupal::before {
  content: '\f1a9'; }

.fa-joomla::before {
  content: '\f1aa'; }

.fa-language::before {
  content: '\f1ab'; }

.fa-fax::before {
  content: '\f1ac'; }

.fa-building::before {
  content: '\f1ad'; }

.fa-child::before {
  content: '\f1ae'; }

.fa-paw::before {
  content: '\f1b0'; }

.fa-spoon::before {
  content: '\f1b1'; }

.fa-cube::before {
  content: '\f1b2'; }

.fa-cubes::before {
  content: '\f1b3'; }

.fa-behance::before {
  content: '\f1b4'; }

.fa-behance-square::before {
  content: '\f1b5'; }

.fa-steam::before {
  content: '\f1b6'; }

.fa-steam-square::before {
  content: '\f1b7'; }

.fa-recycle::before {
  content: '\f1b8'; }

.fa-automobile::before,
.fa-car::before {
  content: '\f1b9'; }

.fa-cab::before,
.fa-taxi::before {
  content: '\f1ba'; }

.fa-tree::before {
  content: '\f1bb'; }

.fa-spotify::before {
  content: '\f1bc'; }

.fa-deviantart::before {
  content: '\f1bd'; }

.fa-soundcloud::before {
  content: '\f1be'; }

.fa-database::before {
  content: '\f1c0'; }

.fa-file-pdf-o::before {
  content: '\f1c1'; }

.fa-file-word-o::before {
  content: '\f1c2'; }

.fa-file-excel-o::before {
  content: '\f1c3'; }

.fa-file-powerpoint-o::before {
  content: '\f1c4'; }

.fa-file-photo-o::before,
.fa-file-picture-o::before,
.fa-file-image-o::before {
  content: '\f1c5'; }

.fa-file-zip-o::before,
.fa-file-archive-o::before {
  content: '\f1c6'; }

.fa-file-sound-o::before,
.fa-file-audio-o::before {
  content: '\f1c7'; }

.fa-file-movie-o::before,
.fa-file-video-o::before {
  content: '\f1c8'; }

.fa-file-code-o::before {
  content: '\f1c9'; }

.fa-vine::before {
  content: '\f1ca'; }

.fa-codepen::before {
  content: '\f1cb'; }

.fa-jsfiddle::before {
  content: '\f1cc'; }

.fa-life-bouy::before,
.fa-life-buoy::before,
.fa-life-saver::before,
.fa-support::before,
.fa-life-ring::before {
  content: '\f1cd'; }

.fa-circle-o-notch::before {
  content: '\f1ce'; }

.fa-ra::before,
.fa-resistance::before,
.fa-rebel::before {
  content: '\f1d0'; }

.fa-ge::before,
.fa-empire::before {
  content: '\f1d1'; }

.fa-git-square::before {
  content: '\f1d2'; }

.fa-git::before {
  content: '\f1d3'; }

.fa-y-combinator-square::before,
.fa-yc-square::before,
.fa-hacker-news::before {
  content: '\f1d4'; }

.fa-tencent-weibo::before {
  content: '\f1d5'; }

.fa-qq::before {
  content: '\f1d6'; }

.fa-wechat::before,
.fa-weixin::before {
  content: '\f1d7'; }

.fa-send::before,
.fa-paper-plane::before {
  content: '\f1d8'; }

.fa-send-o::before,
.fa-paper-plane-o::before {
  content: '\f1d9'; }

.fa-history::before {
  content: '\f1da'; }

.fa-circle-thin::before {
  content: '\f1db'; }

.fa-header::before {
  content: '\f1dc'; }

.fa-paragraph::before {
  content: '\f1dd'; }

.fa-sliders::before {
  content: '\f1de'; }

.fa-share-alt::before {
  content: '\f1e0'; }

.fa-share-alt-square::before {
  content: '\f1e1'; }

.fa-bomb::before {
  content: '\f1e2'; }

.fa-soccer-ball-o::before,
.fa-futbol-o::before {
  content: '\f1e3'; }

.fa-tty::before {
  content: '\f1e4'; }

.fa-binoculars::before {
  content: '\f1e5'; }

.fa-plug::before {
  content: '\f1e6'; }

.fa-slideshare::before {
  content: '\f1e7'; }

.fa-twitch::before {
  content: '\f1e8'; }

.fa-yelp::before {
  content: '\f1e9'; }

.fa-newspaper-o::before {
  content: '\f1ea'; }

.fa-wifi::before {
  content: '\f1eb'; }

.fa-calculator::before {
  content: '\f1ec'; }

.fa-paypal::before {
  content: '\f1ed'; }

.fa-google-wallet::before {
  content: '\f1ee'; }

.fa-cc-visa::before {
  content: '\f1f0'; }

.fa-cc-mastercard::before {
  content: '\f1f1'; }

.fa-cc-discover::before {
  content: '\f1f2'; }

.fa-cc-amex::before {
  content: '\f1f3'; }

.fa-cc-paypal::before {
  content: '\f1f4'; }

.fa-cc-stripe::before {
  content: '\f1f5'; }

.fa-bell-slash::before {
  content: '\f1f6'; }

.fa-bell-slash-o::before {
  content: '\f1f7'; }

.fa-trash::before {
  content: '\f1f8'; }

.fa-copyright::before {
  content: '\f1f9'; }

.fa-at::before {
  content: '\f1fa'; }

.fa-eyedropper::before {
  content: '\f1fb'; }

.fa-paint-brush::before {
  content: '\f1fc'; }

.fa-birthday-cake::before {
  content: '\f1fd'; }

.fa-area-chart::before {
  content: '\f1fe'; }

.fa-pie-chart::before {
  content: '\f200'; }

.fa-line-chart::before {
  content: '\f201'; }

.fa-lastfm::before {
  content: '\f202'; }

.fa-lastfm-square::before {
  content: '\f203'; }

.fa-toggle-off::before {
  content: '\f204'; }

.fa-toggle-on::before {
  content: '\f205'; }

.fa-bicycle::before {
  content: '\f206'; }

.fa-bus::before {
  content: '\f207'; }

.fa-ioxhost::before {
  content: '\f208'; }

.fa-angellist::before {
  content: '\f209'; }

.fa-cc::before {
  content: '\f20a'; }

.fa-shekel::before,
.fa-sheqel::before,
.fa-ils::before {
  content: '\f20b'; }

.fa-meanpath::before {
  content: '\f20c'; }

.fa-buysellads::before {
  content: '\f20d'; }

.fa-connectdevelop::before {
  content: '\f20e'; }

.fa-dashcube::before {
  content: '\f210'; }

.fa-forumbee::before {
  content: '\f211'; }

.fa-leanpub::before {
  content: '\f212'; }

.fa-sellsy::before {
  content: '\f213'; }

.fa-shirtsinbulk::before {
  content: '\f214'; }

.fa-simplybuilt::before {
  content: '\f215'; }

.fa-skyatlas::before {
  content: '\f216'; }

.fa-cart-plus::before {
  content: '\f217'; }

.fa-cart-arrow-down::before {
  content: '\f218'; }

.fa-diamond::before {
  content: '\f219'; }

.fa-ship::before {
  content: '\f21a'; }

.fa-user-secret::before {
  content: '\f21b'; }

.fa-motorcycle::before {
  content: '\f21c'; }

.fa-street-view::before {
  content: '\f21d'; }

.fa-heartbeat::before {
  content: '\f21e'; }

.fa-venus::before {
  content: '\f221'; }

.fa-mars::before {
  content: '\f222'; }

.fa-mercury::before {
  content: '\f223'; }

.fa-intersex::before,
.fa-transgender::before {
  content: '\f224'; }

.fa-transgender-alt::before {
  content: '\f225'; }

.fa-venus-double::before {
  content: '\f226'; }

.fa-mars-double::before {
  content: '\f227'; }

.fa-venus-mars::before {
  content: '\f228'; }

.fa-mars-stroke::before {
  content: '\f229'; }

.fa-mars-stroke-v::before {
  content: '\f22a'; }

.fa-mars-stroke-h::before {
  content: '\f22b'; }

.fa-neuter::before {
  content: '\f22c'; }

.fa-genderless::before {
  content: '\f22d'; }

.fa-facebook-official::before {
  content: '\f230'; }

.fa-pinterest-p::before {
  content: '\f231'; }

.fa-whatsapp::before {
  content: '\f232'; }

.fa-server::before {
  content: '\f233'; }

.fa-user-plus::before {
  content: '\f234'; }

.fa-user-times::before {
  content: '\f235'; }

.fa-hotel::before,
.fa-bed::before {
  content: '\f236'; }

.fa-viacoin::before {
  content: '\f237'; }

.fa-train::before {
  content: '\f238'; }

.fa-subway::before {
  content: '\f239'; }

.fa-medium::before {
  content: '\f23a'; }

.fa-yc::before,
.fa-y-combinator::before {
  content: '\f23b'; }

.fa-optin-monster::before {
  content: '\f23c'; }

.fa-opencart::before {
  content: '\f23d'; }

.fa-expeditedssl::before {
  content: '\f23e'; }

.fa-battery-4::before,
.fa-battery::before,
.fa-battery-full::before {
  content: '\f240'; }

.fa-battery-3::before,
.fa-battery-three-quarters::before {
  content: '\f241'; }

.fa-battery-2::before,
.fa-battery-half::before {
  content: '\f242'; }

.fa-battery-1::before,
.fa-battery-quarter::before {
  content: '\f243'; }

.fa-battery-0::before,
.fa-battery-empty::before {
  content: '\f244'; }

.fa-mouse-pointer::before {
  content: '\f245'; }

.fa-i-cursor::before {
  content: '\f246'; }

.fa-object-group::before {
  content: '\f247'; }

.fa-object-ungroup::before {
  content: '\f248'; }

.fa-sticky-note::before {
  content: '\f249'; }

.fa-sticky-note-o::before {
  content: '\f24a'; }

.fa-cc-jcb::before {
  content: '\f24b'; }

.fa-cc-diners-club::before {
  content: '\f24c'; }

.fa-clone::before {
  content: '\f24d'; }

.fa-balance-scale::before {
  content: '\f24e'; }

.fa-hourglass-o::before {
  content: '\f250'; }

.fa-hourglass-1::before,
.fa-hourglass-start::before {
  content: '\f251'; }

.fa-hourglass-2::before,
.fa-hourglass-half::before {
  content: '\f252'; }

.fa-hourglass-3::before,
.fa-hourglass-end::before {
  content: '\f253'; }

.fa-hourglass::before {
  content: '\f254'; }

.fa-hand-grab-o::before,
.fa-hand-rock-o::before {
  content: '\f255'; }

.fa-hand-stop-o::before,
.fa-hand-paper-o::before {
  content: '\f256'; }

.fa-hand-scissors-o::before {
  content: '\f257'; }

.fa-hand-lizard-o::before {
  content: '\f258'; }

.fa-hand-spock-o::before {
  content: '\f259'; }

.fa-hand-pointer-o::before {
  content: '\f25a'; }

.fa-hand-peace-o::before {
  content: '\f25b'; }

.fa-trademark::before {
  content: '\f25c'; }

.fa-registered::before {
  content: '\f25d'; }

.fa-creative-commons::before {
  content: '\f25e'; }

.fa-gg::before {
  content: '\f260'; }

.fa-gg-circle::before {
  content: '\f261'; }

.fa-tripadvisor::before {
  content: '\f262'; }

.fa-odnoklassniki::before {
  content: '\f263'; }

.fa-odnoklassniki-square::before {
  content: '\f264'; }

.fa-get-pocket::before {
  content: '\f265'; }

.fa-wikipedia-w::before {
  content: '\f266'; }

.fa-safari::before {
  content: '\f267'; }

.fa-chrome::before {
  content: '\f268'; }

.fa-firefox::before {
  content: '\f269'; }

.fa-opera::before {
  content: '\f26a'; }

.fa-internet-explorer::before {
  content: '\f26b'; }

.fa-tv::before,
.fa-television::before {
  content: '\f26c'; }

.fa-contao::before {
  content: '\f26d'; }

.fa-500px::before {
  content: '\f26e'; }

.fa-amazon::before {
  content: '\f270'; }

.fa-calendar-plus-o::before {
  content: '\f271'; }

.fa-calendar-minus-o::before {
  content: '\f272'; }

.fa-calendar-times-o::before {
  content: '\f273'; }

.fa-calendar-check-o::before {
  content: '\f274'; }

.fa-industry::before {
  content: '\f275'; }

.fa-map-pin::before {
  content: '\f276'; }

.fa-map-signs::before {
  content: '\f277'; }

.fa-map-o::before {
  content: '\f278'; }

.fa-map::before {
  content: '\f279'; }

.fa-commenting::before {
  content: '\f27a'; }

.fa-commenting-o::before {
  content: '\f27b'; }

.fa-houzz::before {
  content: '\f27c'; }

.fa-vimeo::before {
  content: '\f27d'; }

.fa-black-tie::before {
  content: '\f27e'; }

.fa-fonticons::before {
  content: '\f280'; }

.fa-reddit-alien::before {
  content: '\f281'; }

.fa-edge::before {
  content: '\f282'; }

.fa-credit-card-alt::before {
  content: '\f283'; }

.fa-codiepie::before {
  content: '\f284'; }

.fa-modx::before {
  content: '\f285'; }

.fa-fort-awesome::before {
  content: '\f286'; }

.fa-usb::before {
  content: '\f287'; }

.fa-product-hunt::before {
  content: '\f288'; }

.fa-mixcloud::before {
  content: '\f289'; }

.fa-scribd::before {
  content: '\f28a'; }

.fa-pause-circle::before {
  content: '\f28b'; }

.fa-pause-circle-o::before {
  content: '\f28c'; }

.fa-stop-circle::before {
  content: '\f28d'; }

.fa-stop-circle-o::before {
  content: '\f28e'; }

.fa-shopping-bag::before {
  content: '\f290'; }

.fa-shopping-basket::before {
  content: '\f291'; }

.fa-hashtag::before {
  content: '\f292'; }

.fa-bluetooth::before {
  content: '\f293'; }

.fa-bluetooth-b::before {
  content: '\f294'; }

.fa-percent::before {
  content: '\f295'; }

.fa-gitlab::before {
  content: '\f296'; }

.fa-wpbeginner::before {
  content: '\f297'; }

.fa-wpforms::before {
  content: '\f298'; }

.fa-envira::before {
  content: '\f299'; }

.fa-universal-access::before {
  content: '\f29a'; }

.fa-wheelchair-alt::before {
  content: '\f29b'; }

.fa-question-circle-o::before {
  content: '\f29c'; }

.fa-blind::before {
  content: '\f29d'; }

.fa-audio-description::before {
  content: '\f29e'; }

.fa-volume-control-phone::before {
  content: '\f2a0'; }

.fa-braille::before {
  content: '\f2a1'; }

.fa-assistive-listening-systems::before {
  content: '\f2a2'; }

.fa-asl-interpreting::before,
.fa-american-sign-language-interpreting::before {
  content: '\f2a3'; }

.fa-deafness::before,
.fa-hard-of-hearing::before,
.fa-deaf::before {
  content: '\f2a4'; }

.fa-glide::before {
  content: '\f2a5'; }

.fa-glide-g::before {
  content: '\f2a6'; }

.fa-signing::before,
.fa-sign-language::before {
  content: '\f2a7'; }

.fa-low-vision::before {
  content: '\f2a8'; }

.fa-viadeo::before {
  content: '\f2a9'; }

.fa-viadeo-square::before {
  content: '\f2aa'; }

.fa-snapchat::before {
  content: '\f2ab'; }

.fa-snapchat-ghost::before {
  content: '\f2ac'; }

.fa-snapchat-square::before {
  content: '\f2ad'; }

.fa-pied-piper::before {
  content: '\f2ae'; }

.fa-first-order::before {
  content: '\f2b0'; }

.fa-yoast::before {
  content: '\f2b1'; }

.fa-themeisle::before {
  content: '\f2b2'; }

.fa-google-plus-circle::before,
.fa-google-plus-official::before {
  content: '\f2b3'; }

.fa-fa::before,
.fa-font-awesome::before {
  content: '\f2b4'; }

.fa-handshake-o::before {
  content: '\f2b5'; }

.fa-envelope-open::before {
  content: '\f2b6'; }

.fa-envelope-open-o::before {
  content: '\f2b7'; }

.fa-linode::before {
  content: '\f2b8'; }

.fa-address-book::before {
  content: '\f2b9'; }

.fa-address-book-o::before {
  content: '\f2ba'; }

.fa-vcard::before,
.fa-address-card::before {
  content: '\f2bb'; }

.fa-vcard-o::before,
.fa-address-card-o::before {
  content: '\f2bc'; }

.fa-user-circle::before {
  content: '\f2bd'; }

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      <h1 id="reproductionfilesreadme">Reproduction Files Readme</h1>

<h3 id="edgoldringbrandonbeomseobparklaronkwilliams">Edward Goldring | Brandon Beomseob Park | Laron K. Williams</h3>

<h4 id="9-10-2018">9&#8211;10&#8211;2018</h4>

<p>This document outlines the steps needed for the reproduction files associated with "Should We Talk about the Weather?  How Party Competition and Coalition Participation Influence Parties' Attention to Economic Issues" by Edward Goldring, Brandon Beomseob Park and Laron K. Williams, Party Politics. If you have questions please contact williamslaro@missouri.edu.</p>

<h2 id="softwareandprograms">Software and programs</h2>

<p>These files require both <code>Stata</code> and <code>R</code>. In <code>R</code>, you will need the <code>grid</code>, <code>foreign</code>, and <code>ggplot2</code> packages from CRAN. The script file <code>&quot;Issue Attention--Replication.do&quot;</code> reproduces all summary statistics, estimates, substantive effects and robustness checks shown in the paper. The <code>R</code> file <code>Issue Attention--Figures.R</code> produces both figures. All needed datasets are provided and referenced in the script files. Users should change working directories as needed.</p>

<h2 id="reproduction">Reproduction</h2>

<p>Although you can run all files in an interactive fashion, we recommend running each file as a batch and then reading the associated log file (<code>&quot;Spatial Issue Competition--Replication.smcl&quot;</code>). For convenience, we provide a PDF of the <code>Stata</code> log file in the event a user does not have that program. </p>

<h2 id="data">Data</h2>

<p>The dataset <code>&quot;Germany.dta&quot;</code> is our primary dataset for the results and figures. These data are based on <a href = "https://doi.org/10.1017/psrm.2015.56">Sagarzazu and Kluver (2017)</a>.  These data are used in various levels of aggregation and shape in order to make the figures, and each figure includes its own datasets (<code>&quot;Emphasis.dta</code>&quot; and <code>&quot;Spatial-Long-Term Effects.dta</code>&quot;). Note that we set a seed for starting points that will need to be maintained in order to reproduce the datasets as we provide them. </p>

<p>We also include several ancillary files needed related to the two weighting matrices. The file <code>&quot;Generate Weights Matrices.do</code>&quot; demonstrates how we generated the weights matrices (<code>&quot;Wcoalition_rs.dta</code>&quot; and <code>&quot;Wcontiguity_rs.dta</code>&quot;).</p>

<h2 id="figures">Figures</h2>

<p>The figures are all created in using the <code>&quot;Issue Attention--Figures.R&quot;</code> file in <code>R</code>. Each of the figures imports a dataset produced in the do file discussed above and in the paper.</p>
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ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateDialog CreateDirectory CreateDocument CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols DeclarePackage Decompose Decrement DedekindEta Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle 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DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow 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DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptions E EccentricityCentrality EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeCost EdgeCount EdgeCoverQ EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData Eliminate EliminationOrder EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InversePermutation InverseRadon InverseSeries InverseSurvivalFunction InverseWaveletTransform InverseWeierstrassP InverseZTransform Invisible InvisibleApplication InvisibleTimes IrreduciblePolynomialQ IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcess JaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join Joined JoinedCurve JoinedCurveBox JoinForm JordanDecomposition JordanModelDecomposition K KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestAscendingSequence LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow Loopback LoopFreeGraphQ LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LyapunovSolve LyonsGroupLy MachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules MangoldtLambda ManhattanDistance Manipulate Manipulator MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixPlot MatrixPower MatrixQ MatrixRank Max MaxBend MaxDetect MaxExtraBandwidths MaxExtraConditions MaxFeatures MaxFilter Maximize MaxIterations MaxMemoryUsed MaxMixtureKernels MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction Monday Monitor MonomialList MonomialOrder MonsterGroupM MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform Most MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovingAverage MovingMedian MoyalDistribution MultiedgeStyle MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistribution N NakagamiDistribution NameQ Names NamespaceBox Nand NArgMax NArgMin NBernoulliB NCache NDSolve NDSolveValue Nearest NearestFunction NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeMultinomialDistribution NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestList NestWhile NestWhileList NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextPrime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants None NonlinearModelFit NonlocalMeansFilter NonNegative NonPositive Nor NorlundB Norm Normal NormalDistribution NormalGrouping Normalize NormalizedSquaredEuclideanDistance NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde NotHumpDownHump NotHumpEqual NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde 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ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OddQ Off Offset OLEData On ONanGroupON OneIdentity Opacity Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering Orderless OrnsteinUhlenbeckProcess Orthogonalize Out Outer OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OwenT OwnValues PackingMethod PaddedForm Padding PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageWidth PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParetoDistribution Part PartialCorrelationFunction PartialD ParticleData Partition PartitionsP PartitionsQ ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PerformanceGoal PeriodicInterpolation Periodogram PeriodogramArray PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PERTDistribution PetersenGraph PhaseMargins Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest Pink Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarGraphQ Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangePadding PlotRegion PlotStyle Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox PointBox PointFigureChart PointForm PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonBox PolygonBoxOptions PolygonHoleScale PolygonIntersections PolygonScale PolyhedronData PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position Positive PositiveDefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement PredictionRoot PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependTo PreserveImageOptions Previous PriceGraphDistribution PrimaryPlaceholder Prime PrimeNu PrimeOmega PrimePi PrimePowerQ PrimeQ Primes PrimeZetaP PrimitiveRoot PrincipalComponents PrincipalValue Print PrintAction PrintForm PrintingCopies PrintingOptions PrintingPageRange PrintingStartingPageNumber PrintingStyleEnvironment PrintPrecision PrintTemporary Prism PrismBox PrismBoxOptions PrivateCellOptions PrivateEvaluationOptions PrivateFontOptions PrivateFrontEndOptions PrivateNotebookOptions PrivatePaths Probability ProbabilityDistribution ProbabilityPlot ProbabilityPr ProbabilityScalePlot ProbitModelFit ProcessEstimator ProcessParameterAssumptions ProcessParameterQ ProcessStateDomain ProcessTimeDomain Product ProductDistribution ProductLog ProgressIndicator ProgressIndicatorBox ProgressIndicatorBoxOptions Projection Prolog PromptForm Properties Property PropertyList PropertyValue Proportion Proportional Protect Protected ProteinData Pruning PseudoInverse Purple Put PutAppend Pyramid PyramidBox PyramidBoxOptions QBinomial QFactorial QGamma QHypergeometricPFQ QPochhammer QPolyGamma QRDecomposition QuadraticIrrationalQ Quantile QuantilePlot Quantity QuantityForm QuantityMagnitude QuantityQ QuantityUnit Quartics QuartileDeviation Quartiles QuartileSkewness QueueingNetworkProcess QueueingProcess QueueProperties Quiet Quit Quotient QuotientRemainder RadialityCentrality RadicalBox RadicalBoxOptions RadioButton RadioButtonBar RadioButtonBox RadioButtonBoxOptions Radon RamanujanTau RamanujanTauL RamanujanTauTheta RamanujanTauZ Random RandomChoice RandomComplex RandomFunction RandomGraph RandomImage RandomInteger RandomPermutation RandomPrime RandomReal RandomSample RandomSeed RandomVariate RandomWalkProcess Range RangeFilter RangeSpecification RankedMax RankedMin Raster Raster3D Raster3DBox Raster3DBoxOptions RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios Raw RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadList ReadProtected Real RealBlockDiagonalForm RealDigits RealExponent Reals Reap Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate RegionBinarize RegionFunction RegionPlot RegionPlot3D RegularExpression Regularization Reinstall Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot Remove RemoveAlphaChannel RemoveAsynchronousTask Removed RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart Repeated RepeatedNull RepeatedString Replace ReplaceAll ReplaceHeldPart ReplaceImageValue ReplaceList ReplacePart ReplacePixelValue ReplaceRepeated Resampling Rescale RescalingTransform ResetDirectory ResetMenusPacket ResetScheduledTask Residue Resolve Rest Resultant ResumePacket Return ReturnExpressionPacket ReturnInputFormPacket ReturnPacket ReturnTextPacket Reverse ReverseBiorthogonalSplineWavelet ReverseElement ReverseEquilibrium ReverseGraph ReverseUpEquilibrium RevolutionAxis RevolutionPlot3D RGBColor RiccatiSolve RiceDistribution RidgeFilter RiemannR RiemannSiegelTheta RiemannSiegelZ Riffle Right RightArrow RightArrowBar RightArrowLeftArrow RightCosetRepresentative RightDownTeeVector RightDownVector RightDownVectorBar RightTee RightTeeArrow RightTeeVector RightTriangle RightTriangleBar RightTriangleEqual RightUpDownVector RightUpTeeVector RightUpVector RightUpVectorBar RightVector RightVectorBar RiskAchievementImportance RiskReductionImportance RogersTanimotoDissimilarity Root RootApproximant RootIntervals RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulerUnits Run RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilarity SameQ SameTest SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveDefinitions SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTaskActiveQ ScheduledTaskData ScheduledTaskObject ScheduledTasks SchurDecomposition ScientificForm ScreenRectangle ScreenStyleEnvironment ScriptBaselineShifts ScriptLevel ScriptMinSize ScriptRules ScriptSizeMultipliers Scrollbars ScrollingOptions ScrollPosition Sec Sech SechDistribution SectionGrouping SectorChart SectorChart3D SectorOrigin SectorSpacing SeedRandom Select Selectable SelectComponents SelectedCells SelectedNotebook Selection SelectionAnimate SelectionCell SelectionCellCreateCell SelectionCellDefaultStyle SelectionCellParentStyle SelectionCreateCell SelectionDebuggerTag SelectionDuplicateCell SelectionEvaluate SelectionEvaluateCreateCell SelectionMove SelectionPlaceholder SelectionSetStyle SelectWithContents SelfLoops SelfLoopStyle SemialgebraicComponentInstances SendMail Sequence SequenceAlignment SequenceForm SequenceHold SequenceLimit Series SeriesCoefficient SeriesData SessionTime Set SetAccuracy SetAlphaChannel SetAttributes Setbacks SetBoxFormNamesPacket SetDelayed SetDirectory SetEnvironment SetEvaluationNotebook SetFileDate SetFileLoadingContext 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StartingStepSize StartOfLine StartOfString StartScheduledTask StartupSound StateDimensions StateFeedbackGains StateOutputEstimator StateResponse StateSpaceModel StateSpaceRealization StateSpaceTransform StationaryDistribution StationaryWaveletPacketTransform StationaryWaveletTransform StatusArea StatusCentrality StepMonitor StieltjesGamma StirlingS1 StirlingS2 StopAsynchronousTask StopScheduledTask StrataVariables StratonovichProcess StreamColorFunction StreamColorFunctionScaling StreamDensityPlot StreamPlot StreamPoints StreamPosition Streams StreamScale StreamStyle String StringBreak StringByteCount StringCases StringCount StringDrop StringExpression StringForm StringFormat StringFreeQ StringInsert StringJoin StringLength StringMatchQ StringPosition StringQ StringReplace StringReplaceList StringReplacePart StringReverse StringRotateLeft StringRotateRight StringSkeleton StringSplit StringTake StringToStream StringTrim StripBoxes StripOnInput StripWrapperBoxes StrokeForm 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