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<title>Introduction to R: A Computational Workbench for Biological Data Analysis</title>
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<script src="data:application/x-javascript;base64,/* slidy.js

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   http://www.w3.org/Consortium/Legal/copyright-software

   Defines single name "w3c_slidy" in global namespace
   Adds event handlers without trampling on any others
*/

// the slidy object implementation
var w3c_slidy = {
  // classify which kind of browser we're running under
  ns_pos: (typeof window.pageYOffset!='undefined'),
  khtml: ((navigator.userAgent).indexOf("KHTML") >= 0 ? true : false),
  opera: ((navigator.userAgent).indexOf("Opera") >= 0 ? true : false),
  ipad: ((navigator.userAgent).indexOf("iPad") >= 0 ? true : false),
  iphone: ((navigator.userAgent).indexOf("iPhone") >= 0 ? true : false),
  android: ((navigator.userAgent).indexOf("Android") >= 0 ? true : false),
  ie: (typeof document.all != "undefined" && !this.opera),
  ie6: (!this.ns_pos && navigator.userAgent.indexOf("MSIE 6") != -1),
  ie7: (!this.ns_pos && navigator.userAgent.indexOf("MSIE 7") != -1),
  ie8: (!this.ns_pos && navigator.userAgent.indexOf("MSIE 8") != -1),
  ie9: (!this.ns_pos && navigator.userAgent.indexOf("MSIE 9") != -1),

  // data for swipe and double tap detection on touch screens
  last_tap: 0,
  prev_tap: 0,
  start_x: 0,
  start_y: 0,
  delta_x: 0,
  delta_y: 0,

  // are we running as XHTML? (doesn't work on Opera)
  is_xhtml: /xml/.test(document.contentType),

  slide_number: 0, // integer slide count: 0, 1, 2, ...
  slide_number_element: null, // element containing slide number
  slides: [], // set to array of slide div's
  notes: [], // set to array of handout div's
  backgrounds: [], // set to array of background div's
  observers: [], // list of observer functions
  toolbar: null, // element containing toolbar
  title: null, // document title
  last_shown: null, // last incrementally shown item
  eos: null,  // span element for end of slide indicator
  toc: null, // table of contents
  outline: null, // outline element with the focus
  selected_text_len: 0, // length of drag selection on document
  view_all: 0,  // 1 to view all slides + handouts
  want_toolbar: true,  // user preference to show/hide toolbar
  mouse_click_enabled: true, // enables left click for next slide
  scroll_hack: 0, // IE work around for position: fixed
  disable_slide_click: false,  // used by clicked anchors

  lang: "en", // updated to language specified by html file

  help_anchor: null, // used for keyboard focus hack in showToolbar()
  help_page: "http://www.w3.org/Talks/Tools/Slidy2/help/help.html",
  help_text: "Navigate with mouse click, space bar, Cursor Left/Right, " +
             "or Pg Up and Pg Dn. Use S and B to change font size.",

  size_index: 0,
  size_adjustment: 0,
  sizes:  new Array("10pt", "12pt", "14pt", "16pt", "18pt", "20pt",
                    "22pt", "24pt", "26pt", "28pt", "30pt", "32pt"),

  // needed for efficient resizing
  last_width: 0,
  last_height: 0,


  // Needed for cross browser support for relative width/height on
  // object elements. The work around is to save width/height attributes
  // and then to recompute absolute width/height dimensions on resizing
   objects: [],

  // attach initialiation event handlers
  set_up: function () {
    var init = function() { w3c_slidy.init(); };
    if (typeof window.addEventListener != "undefined")
      window.addEventListener("load", init, false);
    else
      window.attachEvent("onload", init);
  },

  hide_slides: function () {
    if (document.body && !w3c_slidy.initialized)
      document.body.style.visibility = "hidden";
    else
      setTimeout(w3c_slidy.hide_slides, 50);
  },

  // hack to persuade IE to compute correct document height
  // as needed for simulating fixed positioning of toolbar
  ie_hack: function () {
    window.resizeBy(0,-1);
    window.resizeBy(0, 1);
  },

  init: function () {
    //alert("slidy starting test 10");
    document.body.style.visibility = "visible";
    this.init_localization();
    this.add_toolbar();
    this.wrap_implicit_slides();
    this.collect_slides();
    this.collect_notes();
    this.collect_backgrounds();
    this.objects = document.body.getElementsByTagName("object");
    this.patch_anchors();
    this.slide_number = this.find_slide_number(location.href);
    window.offscreenbuffering = true;
    this.size_adjustment = this.find_size_adjust();
    this.time_left = this.find_duration();
    this.hide_image_toolbar();  // suppress IE image toolbar popup
    this.init_outliner();  // activate fold/unfold support
    this.title = document.title;
    this.keyboardless = (this.ipad||this.iphone||this.android);

    if (this.keyboardless)
    {
      w3c_slidy.remove_class(w3c_slidy.toolbar, "hidden")
      this.want_toolbar = 0;
    }

    // work around for opera bug
    this.is_xhtml = (document.body.tagName == "BODY" ? false : true);

    if (this.slides.length > 0)
    {
      var slide = this.slides[this.slide_number];
   
      if (this.slide_number > 0)
      {
        this.set_visibility_all_incremental("visible");
        this.last_shown = this.previous_incremental_item(null);
        this.set_eos_status(true);
      }
      else
      {
        this.last_shown = null;
        this.set_visibility_all_incremental("hidden");
        this.set_eos_status(!this.next_incremental_item(this.last_shown));
      }

      this.set_location();
      this.add_class(this.slides[0], "first-slide");
      w3c_slidy.show_slide(slide);
    }

    this.toc = this.table_of_contents();

    this.add_initial_prompt();

    // bind event handlers without interfering with custom page scripts
    // Tap events behave too weirdly to support clicks reliably on
    // iPhone and iPad, so exclude these from click handler

    if (!this.keyboardless)
    {
      this.add_listener(document.body, "click", this.mouse_button_click);
      this.add_listener(document.body, "mousedown", this.mouse_button_down);
    }

    this.add_listener(document, "keydown", this.key_down);
    this.add_listener(document, "keypress", this.key_press);
    this.add_listener(window, "resize", this.resized);
    this.add_listener(window, "scroll", this.scrolled);
    this.add_listener(window, "unload", this.unloaded);

    this.add_listener(document, "gesturechange", function ()
    {
      return false;
    });

    this.attach_touch_handers(this.slides);

    // this seems to be a debugging hack
    //if (!document.body.onclick)
    //  document.body.onclick = function () { };

    this.single_slide_view();

    //this.set_location();

    this.resized();

    if (this.ie7)
      setTimeout(w3c_slidy.ie_hack, 100);

    this.show_toolbar();

    // for back button detection
    setInterval(function () { w3c_slidy.check_location(); }, 200);
    w3c_slidy.initialized = true;
  },

  // create div element with links to each slide
  table_of_contents: function () {
    var toc = this.create_element("div");
    this.add_class(toc, "slidy_toc hidden");
    //toc.setAttribute("tabindex", "0");

    var heading = this.create_element("div");
    this.add_class(heading, "toc-heading");
    heading.innerHTML = this.localize("Table of Contents");

    toc.appendChild(heading);
    var previous = null;

    for (var i = 0; i < this.slides.length; ++i)
    {
      var title = this.has_class(this.slides[i], "title");
      var num = document.createTextNode((i + 1) + ". ");

      toc.appendChild(num);

      var a = this.create_element("a");
      a.setAttribute("href", "#(" + (i+1) + ")");

      if (title)
        this.add_class(a, "titleslide");

      var name = document.createTextNode(this.slide_name(i));
      a.appendChild(name);
      a.onclick = w3c_slidy.toc_click;
      a.onkeydown = w3c_slidy.toc_key_down;
      a.previous = previous;

      if (previous)
        previous.next = a;

      toc.appendChild(a);

      if (i == 0)
        toc.first = a;

      if (i < this.slides.length - 1)
      {
        var br = this.create_element("br");
        toc.appendChild(br);
      }

      previous = a;
    }

    toc.focus = function () {
      if (this.first)
        this.first.focus();
    }

    toc.onmouseup = w3c_slidy.mouse_button_up;

    toc.onclick = function (e) {
      e||(e=window.event);

      if (w3c_slidy.selected_text_len <= 0)
         w3c_slidy.hide_table_of_contents(true);

      w3c_slidy.stop_propagation(e);
    
      if (e.cancel != undefined)
        e.cancel = true;
      
      if (e.returnValue != undefined)
        e.returnValue = false;
      
      return false;
    };

    document.body.insertBefore(toc, document.body.firstChild);
    return toc;
  },

  is_shown_toc: function () {
    return !w3c_slidy.has_class(w3c_slidy.toc, "hidden");
  },

  show_table_of_contents: function () {
    w3c_slidy.remove_class(w3c_slidy.toc, "hidden");
    var toc = w3c_slidy.toc;
    toc.focus();

    if (w3c_slidy.ie7 && w3c_slidy.slide_number == 0)
      setTimeout(w3c_slidy.ie_hack, 100);
  },

  hide_table_of_contents: function (focus) {
    w3c_slidy.add_class(w3c_slidy.toc, "hidden");

    if (focus && !w3c_slidy.opera &&
        !w3c_slidy.has_class(w3c_slidy.toc, "hidden"))
      w3c_slidy.set_focus();
  },

  toggle_table_of_contents: function () {
    if (w3c_slidy.is_shown_toc())
      w3c_slidy.hide_table_of_contents(true);
    else
      w3c_slidy.show_table_of_contents();
  },

  // called on clicking toc entry
  toc_click: function (e) {
    if (!e)
      e = window.event;

    var target = w3c_slidy.get_target(e);

    if (target && target.nodeType == 1)
    {
      var uri = target.getAttribute("href");

      if (uri)
      {
        //alert("going to " + uri);
        var slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.hide_slide(slide);
        w3c_slidy.slide_number = w3c_slidy.find_slide_number(uri);
        slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.last_shown = null;
        w3c_slidy.set_location();
        w3c_slidy.set_visibility_all_incremental("hidden");
        w3c_slidy.set_eos_status(!w3c_slidy.next_incremental_item(w3c_slidy.last_shown));
        w3c_slidy.show_slide(slide);
        //target.focus();

        try
        {
          if (!w3c_slidy.opera)
            w3c_slidy.set_focus();
        }
        catch (e)
        {
        }
      }
    }

    w3c_slidy.hide_table_of_contents(true);
    if (w3c_slidy.ie7) w3c_slidy.ie_hack();
    w3c_slidy.stop_propagation(e);
    return w3c_slidy.cancel(e);
  },

  // called onkeydown for toc entry
  toc_key_down: function (event) {
    var key;

    if (!event)
      var event = window.event;

    // kludge around NS/IE differences 
    if (window.event)
      key = window.event.keyCode;
    else if (event.which)
      key = event.which;
    else
      return true; // Yikes! unknown browser

    // ignore event if key value is zero
    // as for alt on Opera and Konqueror
    if (!key)
      return true;

    // check for concurrent control/command/alt key
    // but are these only present on mouse events?

    if (event.ctrlKey || event.altKey)
      return true;

    if (key == 13)
    {
      var uri = this.getAttribute("href");

      if (uri)
      {
        //alert("going to " + uri);
       var slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.hide_slide(slide);
        w3c_slidy.slide_number = w3c_slidy.find_slide_number(uri);
        slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.last_shown = null;
        w3c_slidy.set_location();
        w3c_slidy.set_visibility_all_incremental("hidden");
        w3c_slidy.set_eos_status(!w3c_slidy.next_incremental_item(w3c_slidy.last_shown));
        w3c_slidy.show_slide(slide);
        //target.focus();

        try
        {
          if (!w3c_slidy.opera)
            w3c_slidy.set_focus();
        }
        catch (e)
        {
        }
      }

      w3c_slidy.hide_table_of_contents(true);

      if (self.ie7)
       w3c_slidy.ie_hack();

      return w3c_slidy.cancel(event);
    }

    if (key == 40 && this.next)
    {
      this.next.focus();
      return w3c_slidy.cancel(event);
    }

    if (key == 38 && this.previous)
    {
      this.previous.focus();
      return w3c_slidy.cancel(event);
    }

    return true;
  },

  touchstart: function (e)
  {
    // a double touch often starts with a
    // single touch due to fingers touching
    // down at slightly different times
    // thus avoid calling preventDefault here
    this.prev_tap = this.last_tap;
    this.last_tap = (new Date).getTime();

    var tap_delay = this.last_tap - this.prev_tap;

    if (tap_delay <= 200)
    {
      // double tap
    }

    var touch = e.touches[0];

    this.pageX = touch.pageX;
    this.pageY = touch.pageY;
    this.screenX = touch.screenX;
    this.screenY = touch.screenY;
    this.clientX = touch.clientX;
    this.clientY = touch.clientY;

    this.delta_x = this.delta_y = 0;
  },

  touchmove: function (e)
  {
    // override native gestures for single touch
    if (e.touches.length > 1)
      return;

    e.preventDefault();
    var touch = e.touches[0];
    this.delta_x = touch.pageX - this.pageX;
    this.delta_y = touch.pageY - this.pageY;
  },

  touchend: function (e)
  {
    // default behavior for multi-touch
    if (e.touches.length > 1)
      return;

    var delay = (new Date).getTime() - this.last_tap;
    var dx = this.delta_x;
    var dy = this.delta_y;
    var abs_dx = Math.abs(dx);
    var abs_dy = Math.abs(dy);

    if (delay < 500 && (abs_dx > 100 || abs_dy > 100))
    {
      if (abs_dx > 0.5 * abs_dy)
      {
        e.preventDefault();

        if (dx < 0)
          w3c_slidy.next_slide(true);
        else
          w3c_slidy.previous_slide(true);
      }
      else if (abs_dy > 2 * abs_dx)
      {
        e.preventDefault();
        w3c_slidy.toggle_table_of_contents();
      }
    }
  },

  // ### OBSOLETE ###
  before_print: function () {
    this.show_all_slides();
    this.hide_toolbar();
    alert("before print");
  },

  // ### OBSOLETE ###
  after_print: function () {
    if (!this.view_all)
    {
      this.single_slide_view();
      this.show_toolbar();
    }
    alert("after print");
  },

  // ### OBSOLETE ###
  print_slides: function () {
    this.before_print();
    window.print();
    this.after_print();
  },

  // ### OBSOLETE ?? ###
  toggle_view: function () {
    if (this.view_all)
    {
      this.single_slide_view();
      this.show_toolbar();
      this.view_all = 0;
    }
    else
    {
      this.show_all_slides();
      this.hide_toolbar();
      this.view_all = 1;
    }
  },

  // prepare for printing  ### OBSOLETE ###
  show_all_slides: function () {
    this.remove_class(document.body, "single_slide");
    this.set_visibility_all_incremental("visible");
  },

  // restore after printing  ### OBSOLETE ###
  single_slide_view: function () {
    this.add_class(document.body, "single_slide");
    this.set_visibility_all_incremental("visible");
    this.last_shown = this.previous_incremental_item(null);
  },

  // suppress IE's image toolbar pop up
  hide_image_toolbar: function () {
    if (!this.ns_pos)
    {
      var images = document.getElementsByTagName("IMG");

      for (var i = 0; i < images.length; ++i)
        images[i].setAttribute("galleryimg", "no");
    }
  },

  unloaded: function (e) {
    //alert("unloaded");
  },

  // Safari and Konqueror don't yet support getComputedStyle()
  // and they always reload page when location.href is updated
  is_KHTML: function () {
    var agent = navigator.userAgent;
    return (agent.indexOf("KHTML") >= 0 ? true : false);
  },

  // find slide name from first h1 element
  // default to document title + slide number
  slide_name: function (index) {
    var name = null;
    var slide = this.slides[index];

    var heading = this.find_heading(slide);

    if (heading)
      name = this.extract_text(heading);

    if (!name)
      name = this.title + "(" + (index + 1) + ")";

    name.replace(/\&/g, "&amp;");
    name.replace(/\</g, "&lt;");
    name.replace(/\>/g, "&gt;");

    return name;
  },

  // find first h1 element in DOM tree
  find_heading: function (node) {
    if (!node || node.nodeType != 1)
      return null;

    if (node.nodeName == "H1" || node.nodeName == "h1")
      return node;

    var child = node.firstChild;

    while (child)
    {
      node = this.find_heading(child);

      if (node)
        return node;

      child = child.nextSibling;
    }

    return null;
  },

  // recursively extract text from DOM tree
  extract_text: function (node) {
    if (!node)
      return "";

    // text nodes
    if (node.nodeType == 3)
      return node.nodeValue;

    // elements
    if (node.nodeType == 1)
    {
      node = node.firstChild;
      var text = "";

      while (node)
      {
        text = text + this.extract_text(node);
        node = node.nextSibling;
      }

      return text;
    }

    return "";
  },

  // find copyright text from meta element
  find_copyright: function () {
    var name, content;
    var meta = document.getElementsByTagName("meta");

    for (var i = 0; i < meta.length; ++i)
    {
      name = meta[i].getAttribute("name");
      content = meta[i].getAttribute("content");

      if (name == "copyright")
        return content;
    }

    return null;
  },

  find_size_adjust: function () {
    var name, content, offset;
    var meta = document.getElementsByTagName("meta");

    for (var i = 0; i < meta.length; ++i)
    {
      name = meta[i].getAttribute("name");
      content = meta[i].getAttribute("content");

      if (name == "font-size-adjustment")
        return 1 * content;
    }

    return 1;
  },

  // <meta name="duration" content="20" />  for 20 minutes
  find_duration: function () {
    var name, content, offset;
    var meta = document.getElementsByTagName("meta");

    for (var i = 0; i < meta.length; ++i)
    {
      name = meta[i].getAttribute("name");
      content = meta[i].getAttribute("content");

      if (name == "duration")
        return 60000 * content;
    }

    return null;
  },

  replace_by_non_breaking_space: function (str) {
    for (var i = 0; i < str.length; ++i)
      str[i] = 160;
  },

  // ### CHECK ME ### is use of "li" okay for text/html?
  // for XHTML do we also need to specify namespace?
  init_outliner: function () {
    var items = document.getElementsByTagName("li");

    for (var i = 0; i < items.length; ++i)
    {
      var target = items[i];

      if (!this.has_class(target.parentNode, "outline"))
        continue;

      target.onclick = this.outline_click;
/* ### more work needed for IE6
      if (!this.ns_pos)
      {
        target.onmouseover = this.hover_outline;
        target.onmouseout = this.unhover_outline;
      }
*/
      if (this.foldable(target))
      {
        target.foldable = true;
        target.onfocus = function () {w3c_slidy.outline = this;};
        target.onblur = function () {w3c_slidy.outline = null;};

        if (!target.getAttribute("tabindex"))
          target.setAttribute("tabindex", "0");

        if (this.has_class(target, "expand"))
          this.unfold(target);
        else
          this.fold(target);
      }
      else
      {
        this.add_class(target, "nofold");
        target.visible = true;
        target.foldable = false;
      }
    }
  },

  foldable: function (item) {
    if (!item || item.nodeType != 1)
      return false;

    var node = item.firstChild;

    while (node)
    {
      if (node.nodeType == 1 && this.is_block(node))
        return true;

      node = node.nextSibling;
    }

    return false;
  },

  // ### CHECK ME ### switch to add/remove "hidden" class
  fold: function (item) {
    if (item)
    {
      this.remove_class(item, "unfolded");
      this.add_class(item, "folded");
    }

    var node = item ? item.firstChild : null;

    while (node)
    {
      if (node.nodeType == 1 && this.is_block(node)) // element
      {
         w3c_slidy.add_class(node, "hidden");
      }

      node = node.nextSibling;
    }

    item.visible = false;
  },

  // ### CHECK ME ### switch to add/remove "hidden" class
  unfold: function (item) {
    if (item)
    {
      this.add_class(item, "unfolded");
      this.remove_class(item, "folded");
    }

    var node = item ? item.firstChild : null;

    while (node)
    {
      if (node.nodeType == 1 && this.is_block(node)) // element
      {
        w3c_slidy.remove_class(node, "hidden");
      }

      node = node.nextSibling;
    }

    item.visible = true;
  },

  outline_click: function (e) {
    if (!e)
      e = window.event;

    var rightclick = false;
    var target = w3c_slidy.get_target(e);

    while (target && target.visible == undefined)
      target = target.parentNode;

    if (!target)
      return true;

    if (e.which)
      rightclick = (e.which == 3);
    else if (e.button)
      rightclick = (e.button == 2);

    if (!rightclick && target.visible != undefined)
    {
      if (target.foldable)
      {
        if (target.visible)
          w3c_slidy.fold(target);
        else
          w3c_slidy.unfold(target);
      }

      w3c_slidy.stop_propagation(e);
      e.cancel = true;
      e.returnValue = false;
    }

    return false;
  },

  add_initial_prompt: function () {
    var prompt = this.create_element("div");
    prompt.setAttribute("class", "initial_prompt");

    var p1 = this.create_element("p");
    prompt.appendChild(p1);
    p1.setAttribute("class", "help");

    if (this.keyboardless)
      p1.innerHTML = "swipe left to move to next slide";
    else
      p1.innerHTML = "Space, Right Arrow or swipe left to move to " +
                     "next slide, click help below for more details";

    this.add_listener(prompt, "click", function (e) {
      document.body.removeChild(prompt);
      w3c_slidy.stop_propagation(e);
    
      if (e.cancel != undefined)
        e.cancel = true;
      
      if (e.returnValue != undefined)
        e.returnValue = false;
      
      return false;
    });

    document.body.appendChild(prompt);
    this.initial_prompt = prompt;
    setTimeout(function() {document.body.removeChild(prompt);}, 5000);
  },

  add_toolbar: function () {
    var counter, page;

     this.toolbar = this.create_element("div");
     this.toolbar.setAttribute("class", "toolbar");

     // a reasonably behaved browser
     if (this.ns_pos || !this.ie6)
     {
       var right = this.create_element("div");
       right.setAttribute("style", "float: right; text-align: right");

       counter = this.create_element("span")
       counter.innerHTML = this.localize("slide") + " n/m";
       right.appendChild(counter);
       this.toolbar.appendChild(right);

       var left = this.create_element("div");
       left.setAttribute("style", "text-align: left");

       // global end of slide indicator
       this.eos = this.create_element("span");
       this.eos.innerHTML = "* ";
       left.appendChild(this.eos);

       var help = this.create_element("a");
       help.setAttribute("href", this.help_page);
       help.setAttribute("title", this.localize(this.help_text));
       help.innerHTML = this.localize("help?");
       left.appendChild(help);
       help.style.display="none"; 
       this.help_anchor = help;  // save for focus hack

       var gap1 = document.createTextNode(" ");
       left.appendChild(gap1);

       var contents = this.create_element("a");
       contents.setAttribute("href", "javascript:w3c_slidy.toggle_table_of_contents()");
       contents.setAttribute("title", this.localize("table of contents"));
       contents.innerHTML = this.localize("Contents");
       left.appendChild(contents);

       var gap2 = document.createTextNode(" ");
       left.appendChild(gap2);

       var copyright = this.find_copyright();

       if (copyright)
       {
         var span = this.create_element("span");
         span.className = "copyright";
         span.innerHTML = copyright;
         left.appendChild(span);
       }

       this.toolbar.setAttribute("tabindex", "0");
       this.toolbar.appendChild(left);
     }
     else // IE6 so need to work around its poor CSS support
     {
       this.toolbar.style.position = (this.ie7 ? "fixed" : "absolute");
       this.toolbar.style.zIndex = "200";
       this.toolbar.style.width = "99.9%";
       this.toolbar.style.height = "1.2em";
       this.toolbar.style.top = "auto";
       this.toolbar.style.bottom = "0";
       this.toolbar.style.left = "0";
       this.toolbar.style.right = "0";
       this.toolbar.style.textAlign = "left";
       this.toolbar.style.fontSize = "60%";
       this.toolbar.style.color = "red";
       this.toolbar.borderWidth = 0;
       this.toolbar.className = "toolbar";
       this.toolbar.style.background = "rgb(240,240,240)";

       // would like to have help text left aligned
       // and page counter right aligned, floating
       // div's don't work, so instead use nested
       // absolutely positioned div's.

       var sp = this.create_element("span");
       sp.innerHTML = "&nbsp;&nbsp;*&nbsp;";
       this.toolbar.appendChild(sp);
       this.eos = sp;  // end of slide indicator

       var help = this.create_element("a");
       help.setAttribute("href", this.help_page);
       help.setAttribute("title", this.localize(this.help_text));
       help.innerHTML = this.localize("help?");
       this.toolbar.appendChild(help);
       this.help_anchor = help;  // save for focus hack

       var gap1 = document.createTextNode(" ");
       this.toolbar.appendChild(gap1);

       var contents = this.create_element("a");
       contents.setAttribute("href", "javascript:toggleTableOfContents()");
       contents.setAttribute("title", this.localize("table of contents".localize));
       contents.innerHTML = this.localize("contents?");
       this.toolbar.appendChild(contents);

       var gap2 = document.createTextNode(" ");
       this.toolbar.appendChild(gap2);

       var copyright = this.find_copyright();

       if (copyright)
       {
         var span = this.create_element("span");
         span.innerHTML = copyright;
         span.style.color = "black";
         span.style.marginLeft = "0.5em";
         this.toolbar.appendChild(span);
       }

       counter = this.create_element("div")
       counter.style.position = "absolute";
       counter.style.width = "auto"; //"20%";
       counter.style.height = "1.2em";
       counter.style.top = "auto";
       counter.style.bottom = 0;
       counter.style.right = "0";
       counter.style.textAlign = "right";
       counter.style.color = "red";
       counter.style.background = "rgb(240,240,240)";

       counter.innerHTML = this.localize("slide") + " n/m";
       this.toolbar.appendChild(counter);
     }

     // ensure that click isn't passed through to the page
     this.toolbar.onclick =
         function (e) {
           if (!e)
             e = window.event;

           var target = e.target;

           if (!target && e.srcElement)
             target = e.srcElement;

           // work around Safari bug
           if (target && target.nodeType == 3)
             target = target.parentNode;

           w3c_slidy.stop_propagation(e);

           if (target && target.nodeName.toLowerCase() != "a")
             w3c_slidy.mouse_button_click(e);
         };

     this.slide_number_element = counter;
     this.set_eos_status(false);
     document.body.appendChild(this.toolbar);
  },

  // wysiwyg editors make it hard to use div elements
  // e.g. amaya loses the div when you copy and paste
  // this function wraps div elements around implicit
  // slides which start with an h1 element and continue
  // up to the next heading or div element
  wrap_implicit_slides: function () {
    var i, heading, node, next, div;
    var headings = document.getElementsByTagName("h1");

    if (!headings)
      return;

    for (i = 0; i < headings.length; ++i)
    {
      heading = headings[i];

      if (heading.parentNode != document.body)
        continue;

      node = heading.nextSibling;

      div = document.createElement("div");
      this.add_class(div, "slide");
      document.body.replaceChild(div, heading);
      div.appendChild(heading);

      while (node)
      {
        if (node.nodeType == 1) // an element
        {
           if (node.nodeName == "H1" || node.nodeName == "h1")
             break;

           if (node.nodeName == "DIV" || node.nodeName == "div")
           {
             if (this.has_class(node, "slide"))
               break;

             if (this.has_class(node, "handout"))
               break;
           }
        }

        next = node.nextSibling;
        node = document.body.removeChild(node);
        div.appendChild(node);
        node = next;
      } 
    }
  },

  attach_touch_handers: function(slides)
  {
    var i, slide;

    for (i = 0; i < slides.length; ++i)
    {
      slide = slides[i];
      this.add_listener(slide, "touchstart", this.touchstart);
      this.add_listener(slide, "touchmove", this.touchmove);
      this.add_listener(slide, "touchend", this.touchend);
    }
  },

// return new array of all slides
  collect_slides: function () {
    var slides = new Array();
    var divs = document.body.getElementsByTagName("div");

    for (var i = 0; i < divs.length; ++i)
    {
      div = divs.item(i);

      if (this.has_class(div, "slide"))
      {
        // add slide to collection
        slides[slides.length] = div;

        // hide each slide as it is found
        this.add_class(div, "hidden");

        // add dummy <br/> at end for scrolling hack
        var node1 = document.createElement("br");
        div.appendChild(node1);
        var node2 = document.createElement("br");
        div.appendChild(node2);
      }
      else if (this.has_class(div, "background"))
      {  // work around for Firefox SVG reload bug
        // which otherwise replaces 1st SVG graphic with 2nd
        div.style.display = "block";
      }
    }

    this.slides = slides;
  },

  // return new array of all <div class="handout">
  collect_notes: function () {
    var notes = new Array();
    var divs = document.body.getElementsByTagName("div");

    for (var i = 0; i < divs.length; ++i)
    {
      div = divs.item(i);

      if (this.has_class(div, "handout"))
      {
        // add note to collection
        notes[notes.length] = div;

        // and hide it
        this.add_class(div, "hidden");
      }
    }

    this.notes = notes;
  },

  // return new array of all <div class="background">
  // including named backgrounds e.g. class="background titlepage"
  collect_backgrounds: function () {
    var backgrounds = new Array();
    var divs = document.body.getElementsByTagName("div");

    for (var i = 0; i < divs.length; ++i)
    {
      div = divs.item(i);

      if (this.has_class(div, "background"))
      {
        // add background to collection
        backgrounds[backgrounds.length] = div;

        // and hide it
        this.add_class(div, "hidden");
      }
    }

    this.backgrounds = backgrounds;
  },

  // set click handlers on all anchors
  patch_anchors: function () {
    var self = w3c_slidy;
    var handler = function (event) {
      // compare this.href with location.href
      // for link to another slide in this doc

      if (self.page_address(this.href) == self.page_address(location.href))
      {
        // yes, so find new slide number
        var newslidenum = self.find_slide_number(this.href);

        if (newslidenum != self.slide_number)
        {
          var slide = self.slides[self.slide_number];
          self.hide_slide(slide);
          self.slide_number = newslidenum;
          slide = self.slides[self.slide_number];
          self.show_slide(slide);
          self.set_location();
        }
      }
      else
        w3c_slidy.stop_propagation(event);

//      else if (this.target == null)
//        location.href = this.href;

      this.blur();
      self.disable_slide_click = true;
    };

    var anchors = document.body.getElementsByTagName("a");

    for (var i = 0; i < anchors.length; ++i)
    {
      if (window.addEventListener)
        anchors[i].addEventListener("click", handler, false);
      else
        anchors[i].attachEvent("onclick", handler);
    }
  },

  // ### CHECK ME ### see which functions are invoked via setTimeout
  // either directly or indirectly for use of w3c_slidy vs this
  show_slide_number: function () {
    var timer = w3c_slidy.get_timer();
    w3c_slidy.slide_number_element.innerHTML = timer + w3c_slidy.localize("slide") + " " +
           (w3c_slidy.slide_number + 1) + "/" + w3c_slidy.slides.length;
  },

  // every 200mS check if the location has been changed as a
  // result of the user activating the Back button/menu item
  // doesn't work for Opera < 9.5
  check_location: function () {
    var hash = location.hash;

    if (w3c_slidy.slide_number > 0 && (hash == "" || hash == "#"))
      w3c_slidy.goto_slide(0);
    else if (hash.length > 2 && hash != "#("+(w3c_slidy.slide_number+1)+")")
    {
      var num = parseInt(location.hash.substr(2));

      if (!isNaN(num))
        w3c_slidy.goto_slide(num-1);
    }

    if (w3c_slidy.time_left && w3c_slidy.slide_number > 0)
    {
      w3c_slidy.show_slide_number();

      if (w3c_slidy.time_left > 0)
        w3c_slidy.time_left -= 200;
    } 
  },

  get_timer: function () {
    var timer = "";
    if (w3c_slidy.time_left)
    {
      var mins, secs;
      secs = Math.floor(w3c_slidy.time_left/1000);
      mins = Math.floor(secs / 60);
      secs = secs % 60;
      timer = (mins ? mins+"m" : "") + secs + "s ";
    }

    return timer;
  },

  // this doesn't push location onto history stack for IE
  // for which a hidden iframe hack is needed: load page into
  // the iframe with script that set's parent's location.hash
  // but that won't work for standalone use unless we can
  // create the page dynamically via a javascript: URL
  // ### use history.pushState if available
  set_location: function () {
     var uri = w3c_slidy.page_address(location.href);
     var hash = "#(" + (w3c_slidy.slide_number+1) + ")";

     if (w3c_slidy.slide_number >= 0)
       uri = uri + hash;

     if (typeof(history.pushState) != "undefined" && location.protocol !== "file:")
     {
       document.title = w3c_slidy.title + " (" + (w3c_slidy.slide_number+1) + ")";
       history.pushState(0, document.title, hash);
       w3c_slidy.show_slide_number();
       w3c_slidy.notify_observers();
       return;
     }

     if (w3c_slidy.ie && (w3c_slidy.ie6 || w3c_slidy.ie7))
       w3c_slidy.push_hash(hash);

     if (uri != location.href) // && !khtml
        location.href = uri;

     if (this.khtml)
        hash = "(" + (w3c_slidy.slide_number+1) + ")";

     if (!this.ie && location.hash != hash && location.hash != "")
       location.hash = hash;

     document.title = w3c_slidy.title + " (" + (w3c_slidy.slide_number+1) + ")";
     w3c_slidy.show_slide_number();
     w3c_slidy.notify_observers();
  },

  notify_observers: function ()
  {
    var slide = this.slides[this.slide_number];

    for (var i = 0; i < this.observers.length; ++i)
      this.observers[i](this.slide_number+1, this.find_heading(slide).innerText, location.href);
  },

  add_observer: function (observer)
  {
    for (var i = 0; i < this.observers.length; ++i)
    {
      if (observer == this.observers[i])
        return;
    }

    this.observers.push(observer);
  },

  remove_observer: function (o)
  {
    for (var i = 0; i < this.observers.length; ++i)
    {
      if (observer == this.observers[i])
      {
        this.observers.splice(i,1);
        break;
      }
    }
  },

  page_address: function (uri) {
    var i = uri.indexOf("#");

    if (i < 0)
      i = uri.indexOf("%23");

    // check if anchor is entire page

    if (i < 0)
      return uri;  // yes

    return uri.substr(0, i);
  },

  // only used for IE6 and IE7
  on_frame_loaded: function (hash) {
    location.hash = hash;
    var uri = w3c_slidy.page_address(location.href);
    location.href = uri + hash;
  },

  // history hack with thanks to Bertrand Le Roy
  push_hash: function (hash) {
    if (hash == "") hash = "#(1)";
      window.location.hash = hash;

    var doc = document.getElementById("historyFrame").contentWindow.document;
    doc.open("javascript:'<html></html>'");
    doc.write("<html><head><script type=\"text/javascript\">window.parent.w3c_slidy.on_frame_loaded('"+
      (hash) + "');</script></head><body>hello mum</body></html>");
      doc.close();
  },

  // find current slide based upon location
  // first find target anchor and then look
  // for associated div element enclosing it
  // finally map that to slide number
  find_slide_number: function (uri) {
    // first get anchor from page location

    var i = uri.indexOf("#");

    // check if anchor is entire page
    if (i < 0)
      return 0;  // yes

    var anchor = unescape(uri.substr(i+1));

    // now use anchor as XML ID to find target
    var target = document.getElementById(anchor);

    if (!target)
    {
      // does anchor look like "(2)" for slide 2 ??
      // where first slide is (1)
      var re = /\((\d)+\)/;

      if (anchor.match(re))
      {
        var num = parseInt(anchor.substring(1, anchor.length-1));

        if (num > this.slides.length)
          num = 1;

        if (--num < 0)
          num = 0;

        return num;
      }

      // accept [2] for backwards compatibility
      re = /\[(\d)+\]/;

      if (anchor.match(re))
      {
         var num = parseInt(anchor.substring(1, anchor.length-1));

         if (num > this.slides.length)
            num = 1;

         if (--num < 0)
            num = 0;

         return num;
      }

      // oh dear unknown anchor
      return 0;
    }

    // search for enclosing slide

    while (true)
    {
      // browser coerces html elements to uppercase!
      if (target.nodeName.toLowerCase() == "div" &&
            this.has_class(target, "slide"))
      {
        // found the slide element
        break;
      }

      // otherwise try parent element if any

      target = target.parentNode;

      if (!target)
      {
        return 0;   // no luck!
      }
    };

    for (i = 0; i < slides.length; ++i)
    {
      if (slides[i] == target)
        return i;  // success
    }

    // oh dear still no luck
    return 0;
  },

  previous_slide: function (incremental) {
    if (!w3c_slidy.view_all)
    {
      var slide;

      if ((incremental || w3c_slidy.slide_number == 0) && w3c_slidy.last_shown != null)
      {
        w3c_slidy.last_shown = w3c_slidy.hide_previous_item(w3c_slidy.last_shown);
        w3c_slidy.set_eos_status(false);
      }
      else if (w3c_slidy.slide_number > 0)
      {
        slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.hide_slide(slide);

        w3c_slidy.slide_number = w3c_slidy.slide_number - 1;
        slide = w3c_slidy.slides[w3c_slidy.slide_number];
        w3c_slidy.set_visibility_all_incremental("visible");
        w3c_slidy.last_shown = w3c_slidy.previous_incremental_item(null);
        w3c_slidy.set_eos_status(true);
        w3c_slidy.show_slide(slide);
      }

      w3c_slidy.set_location();

      if (!w3c_slidy.ns_pos)
        w3c_slidy.refresh_toolbar(200);
    }
  },

  next_slide: function (incremental) {
    if (!w3c_slidy.view_all)
    {
      var slide, last = w3c_slidy.last_shown;

      if (incremental || w3c_slidy.slide_number == w3c_slidy.slides.length - 1)
         w3c_slidy.last_shown = w3c_slidy.reveal_next_item(w3c_slidy.last_shown);

      if ((!incremental || w3c_slidy.last_shown == null) &&
             w3c_slidy.slide_number < w3c_slidy.slides.length - 1)
      {
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.hide_slide(slide);

         w3c_slidy.slide_number = w3c_slidy.slide_number + 1;
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.last_shown = null;
         w3c_slidy.set_visibility_all_incremental("hidden");
         w3c_slidy.show_slide(slide);
      }
      else if (!w3c_slidy.last_shown)
      {
         if (last && incremental)
           w3c_slidy.last_shown = last;
      }

      w3c_slidy.set_location();

      w3c_slidy.set_eos_status(!w3c_slidy.next_incremental_item(w3c_slidy.last_shown));

      if (!w3c_slidy.ns_pos)
         w3c_slidy.refresh_toolbar(200);
     }
  },

  // to first slide with nothing revealed
  // i.e. state at start of presentation
  first_slide: function () {
     if (!w3c_slidy.view_all)
     {
       var slide;

       if (w3c_slidy.slide_number != 0)
       {
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.hide_slide(slide);

         w3c_slidy.slide_number = 0;
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.last_shown = null;
         w3c_slidy.set_visibility_all_incremental("hidden");
         w3c_slidy.show_slide(slide);
       }

       w3c_slidy.set_eos_status(
         !w3c_slidy.next_incremental_item(w3c_slidy.last_shown));
       w3c_slidy.set_location();
     }
  },

  // goto last slide with everything revealed
  // i.e. state at end of presentation
  last_slide: function () {
    if (!w3c_slidy.view_all)
    {
      var slide;

      w3c_slidy.last_shown = null; //revealNextItem(lastShown);

      if (w3c_slidy.last_shown == null &&
          w3c_slidy.slide_number < w3c_slidy.slides.length - 1)
      {
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.hide_slide(slide);
         w3c_slidy.slide_number = w3c_slidy.slides.length - 1;
         slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.set_visibility_all_incremental("visible");
         w3c_slidy.last_shown = w3c_slidy.previous_incremental_item(null);

         w3c_slidy.show_slide(slide);
      }
      else
      {
         w3c_slidy.set_visibility_all_incremental("visible");
         w3c_slidy.last_shown = w3c_slidy.previous_incremental_item(null);
      }

      w3c_slidy.set_eos_status(true);
      w3c_slidy.set_location();
    }
  },


  // ### check this and consider add/remove class
  set_eos_status: function (state) {
    if (this.eos)
      this.eos.style.color = (state ? "rgb(240,240,240)" : "red");
  },

  // first slide is 0
  goto_slide: function (num) {
    //alert("going to slide " + (num+1));
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];
    w3c_slidy.hide_slide(slide);
    w3c_slidy.slide_number = num;
    slide = w3c_slidy.slides[w3c_slidy.slide_number];
    w3c_slidy.last_shown = null;
    w3c_slidy.set_visibility_all_incremental("hidden");
    w3c_slidy.set_eos_status(!w3c_slidy.next_incremental_item(w3c_slidy.last_shown));
    document.title = w3c_slidy.title + " (" + (w3c_slidy.slide_number+1) + ")";
    w3c_slidy.show_slide(slide);
    w3c_slidy.show_slide_number();
  },


  show_slide: function (slide) {
    this.sync_background(slide);
    this.remove_class(slide, "hidden");

    // work around IE9 object rendering bug
    setTimeout("window.scrollTo(0,0);", 1);
  },

  hide_slide: function (slide) {
    this.add_class(slide, "hidden");
  },

  set_focus: function (element)
  {
    if (element)
      element.focus();
    else
    {
      w3c_slidy.help_anchor.focus();

      setTimeout(function() {
        w3c_slidy.help_anchor.blur();
      }, 1);
    }
  },

  // show just the backgrounds pertinent to this slide
  // when slide background-color is transparent
  // this should now work with rgba color values
  sync_background: function (slide) {
    var background;
    var bgColor;

    if (slide.currentStyle)
      bgColor = slide.currentStyle["backgroundColor"];
    else if (document.defaultView)
    {
      var styles = document.defaultView.getComputedStyle(slide,null);

      if (styles)
        bgColor = styles.getPropertyValue("background-color");
      else // broken implementation probably due Safari or Konqueror
      {
        //alert("defective implementation of getComputedStyle()");
        bgColor = "transparent";
      }
    }
    else
      bgColor == "transparent";

    if (bgColor == "transparent" ||
        bgColor.indexOf("rgba") >= 0 ||
        bgColor.indexOf("opacity") >= 0)
    {
      var slideClass = this.get_class_list(slide);

      for (var i = 0; i < this.backgrounds.length; i++)
      {
        background = this.backgrounds[i];

        var bgClass = this.get_class_list(background);

        if (this.matching_background(slideClass, bgClass))
          this.remove_class(background, "hidden");
        else
          this.add_class(background, "hidden");
      }
    }
    else // forcibly hide all backgrounds
      this.hide_backgrounds();
  },

  hide_backgrounds: function () {
    for (var i = 0; i < this.backgrounds.length; i++)
    {
      background = this.backgrounds[i];
      this.add_class(background, "hidden");
    }
  },

  // compare classes for slide and background
  matching_background: function (slideClass, bgClass) {
    var i, count, pattern, result;

    // define pattern as regular expression
    pattern = /\w+/g;

    // check background class names
    result = bgClass.match(pattern);

    for (i = count = 0; i < result.length; i++)
    {
      if (result[i] == "hidden")
        continue;

      if (result[i] == "background")
	continue;

      ++count;
    }

    if (count == 0)  // default match
      return true;

    // check for matches and place result in array
    result = slideClass.match(pattern);

    // now check if desired name is present for background
    for (i = count = 0; i < result.length; i++)
    {
      if (result[i] == "hidden")
        continue;

      if (this.has_token(bgClass, result[i]))
        return true;
    }

    return false;
  },

  resized: function () {
     var width = 0;

     if ( typeof( window.innerWidth ) == 'number' )
       width = window.innerWidth;  // Non IE browser
     else if (document.documentElement && document.documentElement.clientWidth)
       width = document.documentElement.clientWidth;  // IE6
     else if (document.body && document.body.clientWidth)
       width = document.body.clientWidth; // IE4

     var height = 0;

     if ( typeof( window.innerHeight ) == 'number' )
       height = window.innerHeight;  // Non IE browser
     else if (document.documentElement && document.documentElement.clientHeight)
       height = document.documentElement.clientHeight;  // IE6
     else if (document.body && document.body.clientHeight)
       height = document.body.clientHeight; // IE4

     if (height && (width/height > 1.05*1024/768))
     {
       width = height * 1024.0/768;
     }

     // IE fires onresize even when only font size is changed!
     // so we do a check to avoid blocking < and > actions
     if (width != w3c_slidy.last_width || height != w3c_slidy.last_height)
     {
       if (width >= 1100)
         w3c_slidy.size_index = 5;    // 4
       else if (width >= 1000)
         w3c_slidy.size_index = 4;    // 3
       else if (width >= 800)
         w3c_slidy.size_index = 3;    // 2
       else if (width >= 600)
         w3c_slidy.size_index = 2;    // 1
       else if (width)
         w3c_slidy.size_index = 0;

       // add in font size adjustment from meta element e.g.
       // <meta name="font-size-adjustment" content="-2" />
       // useful when slides have too much content ;-)

       if (0 <= w3c_slidy.size_index + w3c_slidy.size_adjustment &&
             w3c_slidy.size_index + w3c_slidy.size_adjustment < w3c_slidy.sizes.length)
         w3c_slidy.size_index = w3c_slidy.size_index + w3c_slidy.size_adjustment;

       // enables cross browser use of relative width/height
       // on object elements for use with SVG and Flash media
       w3c_slidy.adjust_object_dimensions(width, height);

       if (document.body.style.fontSize != w3c_slidy.sizes[w3c_slidy.size_index])
       {
         document.body.style.fontSize = w3c_slidy.sizes[w3c_slidy.size_index];
       }

       w3c_slidy.last_width = width;
       w3c_slidy.last_height = height;

       // force reflow to work around Mozilla bug
       if (w3c_slidy.ns_pos)
       {
         var slide = w3c_slidy.slides[w3c_slidy.slide_number];
         w3c_slidy.hide_slide(slide);
         w3c_slidy.show_slide(slide);
       }

       // force correct positioning of toolbar
       w3c_slidy.refresh_toolbar(200);
     }
  },

  scrolled: function () {
    if (w3c_slidy.toolbar && !w3c_slidy.ns_pos && !w3c_slidy.ie7)
    {
      w3c_slidy.hack_offset = w3c_slidy.scroll_x_offset();
      // hide toolbar
      w3c_slidy.toolbar.style.display = "none";

      // make it reappear later
      if (w3c_slidy.scrollhack == 0 && !w3c_slidy.view_all)
      {
        setTimeout(function () {w3c_slidy.show_toolbar(); }, 1000);
        w3c_slidy.scrollhack = 1;
      }
    }
  },

  hide_toolbar: function () {
    w3c_slidy.add_class(w3c_slidy.toolbar, "hidden");
    window.focus();
  },

  // used to ensure IE refreshes toolbar in correct position
  refresh_toolbar: function (interval) {
    if (!w3c_slidy.ns_pos && !w3c_slidy.ie7)
    {
      w3c_slidy.hide_toolbar();
      setTimeout(function () {w3c_slidy.show_toolbar();}, interval);
    }
  },

  // restores toolbar after short delay
  show_toolbar: function () {
    if (w3c_slidy.want_toolbar)
    {
      w3c_slidy.toolbar.style.display = "block";

      if (!w3c_slidy.ns_pos)
      {
        // adjust position to allow for scrolling
        var xoffset = w3c_slidy.scroll_x_offset();
        w3c_slidy.toolbar.style.left = xoffset;
        w3c_slidy.toolbar.style.right = xoffset;

        // determine vertical scroll offset
        //var yoffset = scrollYOffset();

        // bottom is doc height - window height - scroll offset
        //var bottom = documentHeight() - lastHeight - yoffset

        //if (yoffset > 0 || documentHeight() > lastHeight)
        //   bottom += 16;  // allow for height of scrollbar

        w3c_slidy.toolbar.style.bottom = 0; //bottom;
      }

      w3c_slidy.remove_class(w3c_slidy.toolbar, "hidden");
    }

    w3c_slidy.scrollhack = 0;


    // set the keyboard focus to the help link on the
    // toolbar to ensure that document has the focus
    // IE doesn't always work with window.focus()
    // and this hack has benefit of Enter for help

    try
    {
      if (!w3c_slidy.opera)
        w3c_slidy.set_focus();
    }
    catch (e)
    {
    }
  },

// invoked via F key
  toggle_toolbar: function () {
    if (!w3c_slidy.view_all)
    {
      if (w3c_slidy.has_class(w3c_slidy.toolbar, "hidden"))
      {
        w3c_slidy.remove_class(w3c_slidy.toolbar, "hidden")
        w3c_slidy.want_toolbar = 1;
      }
      else
      {
        w3c_slidy.add_class(w3c_slidy.toolbar, "hidden")
        w3c_slidy.want_toolbar = 0;
      }
    }
  },

  scroll_x_offset: function () {
    if (window.pageXOffset)
      return self.pageXOffset;

    if (document.documentElement && 
             document.documentElement.scrollLeft)
      return document.documentElement.scrollLeft;

    if (document.body)
      return document.body.scrollLeft;

    return 0;
  },

  scroll_y_offset: function () {
    if (window.pageYOffset)
      return self.pageYOffset;

    if (document.documentElement && 
             document.documentElement.scrollTop)
      return document.documentElement.scrollTop;

    if (document.body)
      return document.body.scrollTop;

    return 0;
  },

  // looking for a way to determine height of slide content
  // the slide itself is set to the height of the window
  optimize_font_size: function () {
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];

    //var dh = documentHeight(); //getDocHeight(document);
    var dh = slide.scrollHeight;
    var wh = getWindowHeight();
    var u = 100 * dh / wh;

    alert("window utilization = " + u + "% (doc "
      + dh + " win " + wh + ")");
  },

  // from document object
  get_doc_height: function (doc) {
    if (!doc)
      doc = document;

    if (doc && doc.body && doc.body.offsetHeight)
      return doc.body.offsetHeight;  // ns/gecko syntax

    if (doc && doc.body && doc.body.scrollHeight)
      return doc.body.scrollHeight;

    alert("couldn't determine document height");
  },

  get_window_height: function () {
    if ( typeof( window.innerHeight ) == 'number' )
      return window.innerHeight;  // Non IE browser

    if (document.documentElement && document.documentElement.clientHeight)
      return document.documentElement.clientHeight;  // IE6

    if (document.body && document.body.clientHeight)
      return document.body.clientHeight; // IE4
  },

  document_height: function () {
    var sh, oh;

    sh = document.body.scrollHeight;
    oh = document.body.offsetHeight;

    if (sh && oh)
    {
      return (sh > oh ? sh : oh);
    }

    // no idea!
    return 0;
  },

  smaller: function () {
    if (w3c_slidy.size_index > 0)
    {
      --w3c_slidy.size_index;
    }

    w3c_slidy.toolbar.style.display = "none";
    document.body.style.fontSize = w3c_slidy.sizes[w3c_slidy.size_index];
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];
    w3c_slidy.hide_slide(slide);
    w3c_slidy.show_slide(slide);
    setTimeout(function () {w3c_slidy.show_toolbar(); }, 50);
  },

  bigger: function () {
    if (w3c_slidy.size_index < w3c_slidy.sizes.length - 1)
    {
      ++w3c_slidy.size_index;
    }

    w3c_slidy.toolbar.style.display = "none";
    document.body.style.fontSize = w3c_slidy.sizes[w3c_slidy.size_index];
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];
    w3c_slidy.hide_slide(slide);
    w3c_slidy.show_slide(slide);
    setTimeout(function () {w3c_slidy.show_toolbar(); }, 50);
  },

  // enables cross browser use of relative width/height
  // on object elements for use with SVG and Flash media
  // with thanks to Ivan Herman for the suggestion
  adjust_object_dimensions: function (width, height) {
    for( var i = 0; i < w3c_slidy.objects.length; i++ )
    {
      var obj = this.objects[i];
      var mimeType = obj.getAttribute("type");

      if (mimeType == "image/svg+xml" || mimeType == "application/x-shockwave-flash")
      {
        if ( !obj.initialWidth ) 
          obj.initialWidth = obj.getAttribute("width");

        if ( !obj.initialHeight ) 
          obj.initialHeight = obj.getAttribute("height");

        if ( obj.initialWidth && obj.initialWidth.charAt(obj.initialWidth.length-1) == "%" )
        {
          var w = parseInt(obj.initialWidth.slice(0, obj.initialWidth.length-1));
          var newW = width * (w/100.0);
          obj.setAttribute("width",newW);
        }

        if ( obj.initialHeight &&
             obj.initialHeight.charAt(obj.initialHeight.length-1) == "%" )
        {
          var h = parseInt(obj.initialHeight.slice(0, obj.initialHeight.length-1));
          var newH = height * (h/100.0);
          obj.setAttribute("height", newH);
        }
      }
    }
  },

  // needed for Opera to inhibit default behavior
  // since Opera delivers keyPress even if keyDown
  // was cancelled
  key_press: function (event) {
    if (!event)
      event = window.event;

    if (!w3c_slidy.key_wanted)
      return w3c_slidy.cancel(event);

    return true;
  },

  //  See e.g. http://www.quirksmode.org/js/events/keys.html for keycodes
  key_down: function (event) {
    var key, target, tag;

    w3c_slidy.key_wanted = true;

    if (!event)
      event = window.event;

    // kludge around NS/IE differences 
    if (window.event)
    {
      key = window.event.keyCode;
      target = window.event.srcElement;
    }
    else if (event.which)
    {
      key = event.which;
      target = event.target;
    }
    else
      return true; // Yikes! unknown browser

    // ignore event if key value is zero
    // as for alt on Opera and Konqueror
    if (!key)
       return true;

    // avoid interfering with keystroke
    // behavior for non-slidy chrome elements
    if (!w3c_slidy.slidy_chrome(target) &&
        w3c_slidy.special_element(target))
      return true;

    // check for concurrent control/command/alt key
    // but are these only present on mouse events?

    if (event.ctrlKey || event.altKey || event.metaKey)
       return true;

    // dismiss table of contents if visible
    if (w3c_slidy.is_shown_toc() && key != 9 && key != 16 && key != 38 && key != 40)
    {
      w3c_slidy.hide_table_of_contents(true);

      if (key == 27 || key == 84 || key == 67)
        return w3c_slidy.cancel(event);
    }

    if (key == 34) // Page Down
    {
      if (w3c_slidy.view_all)
        return true;

      w3c_slidy.next_slide(false);
      return w3c_slidy.cancel(event);
    }
    else if (key == 33) // Page Up
    {
      if (w3c_slidy.view_all)
        return true;

      w3c_slidy.previous_slide(false);
      return w3c_slidy.cancel(event);
    }
    else if (key == 32) // space bar
    {
      w3c_slidy.next_slide(true);
      return w3c_slidy.cancel(event);
    }
    else if (key == 37) // Left arrow
    {
      w3c_slidy.previous_slide(!event.shiftKey);
      return w3c_slidy.cancel(event);
    }
    else if (key == 36) // Home
    {
      w3c_slidy.first_slide();
      return w3c_slidy.cancel(event);
    }
    else if (key == 35) // End
    {
      w3c_slidy.last_slide();
      return w3c_slidy.cancel(event);
    }
    else if (key == 39) // Right arrow
    {
      w3c_slidy.next_slide(!event.shiftKey);
      return w3c_slidy.cancel(event);
    }
    else if (key == 13) // Enter
    {
      if (w3c_slidy.outline)
      {
        if (w3c_slidy.outline.visible)
          w3c_slidy.fold(w3c_slidy.outline);
        else
          w3c_slidy.unfold(w3c_slidy.outline);
          
       return w3c_slidy.cancel(event);
      }
    }
    else if (key == 188)  // < for smaller fonts
    {
      w3c_slidy.smaller();
      return w3c_slidy.cancel(event);
    }
    else if (key == 190)  // > for larger fonts
    {
      w3c_slidy.bigger();
      return w3c_slidy.cancel(event);
    }
    else if (key == 189 || key == 109)  // - for smaller fonts
    {
      w3c_slidy.smaller();
      return w3c_slidy.cancel(event);
    }
    else if (key == 187 || key == 191 || key == 107)  // = +  for larger fonts
    {
      w3c_slidy.bigger();
      return w3c_slidy.cancel(event);
    }
    else if (key == 83)  // S for smaller fonts
    {
      w3c_slidy.smaller();
      return w3c_slidy.cancel(event);
    }
    else if (key == 66)  // B for larger fonts
    {
      w3c_slidy.bigger();
      return w3c_slidy.cancel(event);
    }
    else if (key == 90)  // Z for last slide
    {
      w3c_slidy.last_slide();
      return w3c_slidy.cancel(event);
    }
    else if (key == 70)  // F for toggle toolbar
    {
      w3c_slidy.toggle_toolbar();
      return w3c_slidy.cancel(event);
    }
    else if (key == 65)  // A for toggle view single/all slides
    {
      w3c_slidy.toggle_view();
      return w3c_slidy.cancel(event);
    }
    else if (key == 75)  // toggle action of left click for next page
    {
      w3c_slidy.mouse_click_enabled = !w3c_slidy.mouse_click_enabled;
      var alert_msg = (w3c_slidy.mouse_click_enabled ?
                "enabled" : "disabled") +  " mouse click advance";

      alert(w3c_slidy.localize(alert_msg));
      return w3c_slidy.cancel(event);
    }
    else if (key == 84 || key == 67)  // T or C for table of contents
    {
      if (w3c_slidy.toc)
        w3c_slidy.toggle_table_of_contents();

      return w3c_slidy.cancel(event);
    }
    else if (key == 72) // H for help
    {
      window.location = w3c_slidy.help_page;
      return w3c_slidy.cancel(event);
    }
    //else alert("key code is "+ key);

    return true;
  },

  // safe for both text/html and application/xhtml+xml
  create_element: function (name) {
    if (this.xhtml && (typeof document.createElementNS != 'undefined'))
      return document.createElementNS("http://www.w3.org/1999/xhtml", name)

    return document.createElement(name);
  },

  get_element_style: function (elem, IEStyleProp, CSSStyleProp) {
    if (elem.currentStyle)
    {
      return elem.currentStyle[IEStyleProp];
    }
    else if (window.getComputedStyle)
    {
      var compStyle = window.getComputedStyle(elem, "");
      return compStyle.getPropertyValue(CSSStyleProp);
    }
    return "";
  },

  // the string str is a whitespace separated list of tokens
  // test if str contains a particular token, e.g. "slide"
  has_token: function (str, token) {
    if (str)
    {
      // define pattern as regular expression
      var pattern = /\w+/g;

      // check for matches
      // place result in array
      var result = str.match(pattern);

      // now check if desired token is present
      for (var i = 0; i < result.length; i++)
      {
        if (result[i] == token)
          return true;
      }
    }

    return false;
  },

  get_class_list: function (element) {
    if (typeof element.className != 'undefined')
      return element.className;

    return element.getAttribute("class");
  },

  has_class: function (element, name) {
    if (element.nodeType != 1)
      return false;

    var regexp = new RegExp("(^| )" + name + "\W*");

    if (typeof element.className != 'undefined')
      return regexp.test(element.className);

    return regexp.test(element.getAttribute("class"));
  },

  remove_class: function (element, name) {
    var regexp = new RegExp("(^| )" + name + "\W*");
    var clsval = "";

    if (typeof element.className != 'undefined')
    {
      clsval = element.className;

      if (clsval)
      {
        clsval = clsval.replace(regexp, "");
        element.className = clsval;
      }
    }
    else
    {
      clsval = element.getAttribute("class");

      if (clsval)
      {
        clsval = clsval.replace(regexp, "");
        element.setAttribute("class", clsval);
      }
    }
  },

  add_class: function (element, name) {
    if (!this.has_class(element, name))
    {
      if (typeof element.className != 'undefined')
        element.className += " " + name;
      else
      {
        var clsval = element.getAttribute("class");
        clsval = clsval ? clsval + " " + name : name;
        element.setAttribute("class", clsval);
      }
    }
  },

  // HTML elements that can be used with class="incremental"
  // note that you can also put the class on containers like
  // up, ol, dl, and div to make their contents appear
  // incrementally. Upper case is used since this is what
  // browsers report for HTML node names (text/html).
  incremental_elements: null,
  okay_for_incremental: function (name) {
    if (!this.incremental_elements)
    {
      var inclist = new Array();
      inclist["p"] = true;
      inclist["pre"] = true;
      inclist["li"] = true;
      inclist["blockquote"] = true;
      inclist["dt"] = true;
      inclist["dd"] = true;
      inclist["h2"] = true;
      inclist["h3"] = true;
      inclist["h4"] = true;
      inclist["h5"] = true;
      inclist["h6"] = true;
      inclist["span"] = true;
      inclist["address"] = true;
      inclist["table"] = true;
      inclist["tr"] = true;
      inclist["th"] = true;
      inclist["td"] = true;
      inclist["img"] = true;
      inclist["object"] = true;
      this.incremental_elements = inclist;
    }
    return this.incremental_elements[name.toLowerCase()];
  },

  next_incremental_item: function (node) {
    var br = this.is_xhtml ? "br" : "BR";
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];

    for (;;)
    {
      node = w3c_slidy.next_node(slide, node);

      if (node == null || node.parentNode == null)
        break;

      if (node.nodeType == 1)  // ELEMENT
      {
        if (node.nodeName == br)
          continue;

        if (w3c_slidy.has_class(node, "incremental")
             && w3c_slidy.okay_for_incremental(node.nodeName))
          return node;

        if (w3c_slidy.has_class(node.parentNode, "incremental")
             && !w3c_slidy.has_class(node, "non-incremental"))
          return node;
      }
    }

    return node;
  },

  previous_incremental_item: function (node) {
    var br = this.is_xhtml ? "br" : "BR";
    var slide = w3c_slidy.slides[w3c_slidy.slide_number];

    for (;;)
    {
      node = w3c_slidy.previous_node(slide, node);

      if (node == null || node.parentNode == null)
        break;

      if (node.nodeType == 1)
      {
        if (node.nodeName == br)
          continue;

        if (w3c_slidy.has_class(node, "incremental")
             && w3c_slidy.okay_for_incremental(node.nodeName))
          return node;

        if (w3c_slidy.has_class(node.parentNode, "incremental")
             && !w3c_slidy.has_class(node, "non-incremental"))
          return node;
      }
    }

    return node;
  },

  // set visibility for all elements on current slide with
  // a parent element with attribute class="incremental"
  set_visibility_all_incremental: function (value) {
    var node = this.next_incremental_item(null);

    if (value == "hidden")
    {
      while (node)
      {
        w3c_slidy.add_class(node, "invisible");
        node = w3c_slidy.next_incremental_item(node);
      }
    }
    else // value == "visible"
    {
      while (node)
      {
        w3c_slidy.remove_class(node, "invisible");
        node = w3c_slidy.next_incremental_item(node);
      }
    }
  },

  // reveal the next hidden item on the slide
  // node is null or the node that was last revealed
  reveal_next_item: function (node) {
    node = w3c_slidy.next_incremental_item(node);

    if (node && node.nodeType == 1)  // an element
      w3c_slidy.remove_class(node, "invisible");

    return node;
  },

  // exact inverse of revealNextItem(node)
  hide_previous_item: function (node) {
    if (node && node.nodeType == 1)  // an element
      w3c_slidy.add_class(node, "invisible");

    return this.previous_incremental_item(node);
  },

  // left to right traversal of root's content
  next_node: function (root, node) {
    if (node == null)
      return root.firstChild;

    if (node.firstChild)
      return node.firstChild;

    if (node.nextSibling)
      return node.nextSibling;

    for (;;)
    {
      node = node.parentNode;

      if (!node || node == root)
        break;

      if (node && node.nextSibling)
        return node.nextSibling;
    }

    return null;
  },

  // right to left traversal of root's content
  previous_node: function (root, node) {
    if (node == null)
    {
      node = root.lastChild;

      if (node)
      {
        while (node.lastChild)
          node = node.lastChild;
      }

      return node;
    }

    if (node.previousSibling)
    {
      node = node.previousSibling;

      while (node.lastChild)
        node = node.lastChild;

      return node;
    }

    if (node.parentNode != root)
      return node.parentNode;

    return null;
  },

  previous_sibling_element: function (el) {
    el = el.previousSibling;

    while (el && el.nodeType != 1)
      el = el.previousSibling;

    return el;
  },

  next_sibling_element: function (el) {
    el = el.nextSibling;

    while (el && el.nodeType != 1)
      el = el.nextSibling;

    return el;
  },

  first_child_element: function (el) {
    var node;

    for (node = el.firstChild; node; node = node.nextSibling)
    {
      if (node.nodeType == 1)
        break;
    }

    return node;
  },

  first_tag: function (element, tag) {
    var node;

    if (!this.is_xhtml)
      tag = tag.toUpperCase();

    for (node = element.firstChild; node; node = node.nextSibling)
    {
      if (node.nodeType == 1 && node.nodeName == tag)
        break;
    }

    return node;
  },

  hide_selection: function () {
    if (window.getSelection) // Firefox, Chromium, Safari, Opera
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<body>
<div class="slide titlepage">
<h1 class="title">Introduction to R: A Computational Workbench for Biological Data Analysis</h1>
<p class="author">
Brian Capaldo
</p>
<p class="date">6/10/2017</p>
</div>
<div id="acknowledgements" class="slide section level2">
<h1>Acknowledgements</h1>
<ul>
<li><p><a href="https://computationalproteomics.ccis.northeastern.edu/">May Institute</a></p>
<ul>
<li><a href="https://github.com/MayInstitute/MayInstitute2017">GitHub</a></li>
</ul></li>
<li><p>Association of Biomolecular Research Facilities</p></li>
<li><p>International Society for Advancement of Cytometry</p></li>
<li><p>The R Project for Statisitcal Computing</p></li>
<li><p>The Bioconductor Project</p></li>
<li><p><a href="https://www.rstudio.com/">RStudio</a></p></li>
<li><p>UVA Office of Research Core Administration</p></li>
</ul>
</div>
<div id="attributesbrian" class="slide section level2">
<h1>attributes(Brian)</h1>
<ul>
<li><p>BS in Cellular and Molecular Biology</p></li>
<li><p>Wet lab experience in yeast/bacterial genetics and materials science</p></li>
<li><p>PhD in Biochemistry and Molecular Genetics</p></li>
<li><p>Core informatician at UVA SOM ORCA</p>
<ol style="list-style-type: decimal">
<li><p>Cytometry</p></li>
<li><p>Mass spectrometry</p></li>
<li><p>Next Generation Sequencing</p></li>
<li><p>Microarrays</p></li>
</ol></li>
<li><p><a href="https://github.com/bc2zb">GitHub</a></p></li>
</ul>
</div>
<div id="why-r" class="slide section level2">
<h1>Why R?</h1>
<ul>
<li><p>It’s flexible (this presentation was made using R)</p></li>
<li><p>It’s open source</p></li>
<li><p>It’s widely supported</p></li>
<li><p>Its design philosophy</p></li>
<li><p><a href="https://cran.r-project.org/">Installing R</a></p></li>
</ul>
</div>
<div id="history-of-r" class="slide section level2">
<h1>History of R</h1>
<ul>
<li><p>The R programming language has its roots in S, a language created forty years ago at ATT Bell Labs by Chambers, Becker and Wilks.</p></li>
<li><p>The motivation for S was to simplify the task of calling statistical routines written in FORTRAN (this involved writing code to read in, format and write out the data).</p></li>
<li><p>The goal of S was to free users of the drudgery of writing that interface code and speed up the data analyst’s workflow. The key linguistic design principle was to design a language that could be extended and that was devoid of arbitrary limitations.</p></li>
<li><p>The S language was such a success that users started writing statistical routines in S.</p></li>
<li><p>The R programming language was designed by Ross Ihaka and Robert Gentleman at the University of Auckland around 1992.</p></li>
<li><p>R departed from S in number of ways, it was an open source language released under a GPL license to ensure that everything related to R remains in the public domain, R cleaned up some corners of S and improve the performance of programs written in the language.</p></li>
</ul>
</div>
<div id="r-as-a-computational-bench-top" class="slide section level2">
<h1>R as a computational bench top</h1>
<ul>
<li><p>Data as experiments</p></li>
<li><p>Data structures as glassware</p></li>
<li><p>Functions as instruments</p></li>
<li><p>Vignettes as protocols</p></li>
</ul>
</div>
<div id="data-types-in-r" class="slide section level2">
<h1>Data types in R</h1>
<p>The base types include <code>double</code>, <code>integer</code>, <code>characater</code> and <code>logical</code>. Values can be tested as belonging to one of those types.</p>
</div>
<div id="section" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">typeof</span>(<span class="dv">1</span>)</code></pre></div>
<pre><code>## [1] "double"</code></pre>
</div>
<div id="section-1" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">typeof</span>(1L)</code></pre></div>
<pre><code>## [1] "integer"</code></pre>
</div>
<div id="section-2" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">is.numeric</span>(<span class="fl">1.1</span>)</code></pre></div>
<pre><code>## [1] TRUE</code></pre>
</div>
<div id="section-3" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">is.logical</span>(<span class="ot">TRUE</span>)</code></pre></div>
<pre><code>## [1] TRUE</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">is.character</span>(<span class="st">"Hello"</span>)</code></pre></div>
<pre><code>## [1] TRUE</code></pre>
</div>
<div id="vectors" class="slide section level2">
<h1>Vectors</h1>
<p>R provides several kinds of compound data structures commonly referred to as <em>vectors</em>. All operations in R are <em>vectorized</em>, this means that they take vectors as arguments and they will operate on the individual values (basic types) of these vectors.</p>
<p>The operator <code>[<-</code> is the assignment function.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">2</span>,<span class="dv">2</span>) <span class="co"># 'c()' is the concatenate function</span>
y <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>,<span class="dv">1</span>)
( x +<span class="st"> </span>y ) *<span class="st"> </span>x</code></pre></div>
<pre><code>## [1] 3 8 6</code></pre>
</div>
<div id="atomic-vectors" class="slide section level2">
<h1>Atomic vectors</h1>
<p>Atomic vectors are homogeneous (possibly multi-dimensional) data structures.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">2</span>,<span class="dv">3</span>) <span class="co"># again using 'c()' to concatenate</span></code></pre></div>
<pre><code>## [1] 1 2 3</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">c</span>(<span class="st">"one"</span>,<span class="st">"two"</span>,<span class="st">"three"</span>)</code></pre></div>
<pre><code>## [1] "one" "two" "three"</code></pre>
</div>
<div id="subsetting" class="slide section level2">
<h1>Subsetting</h1>
<p>All vectors can be accessed used subsetting operators <code>[</code> and <code>[[</code></p>
<ul>
<li><p><code>typeof()</code></p>
<ul>
<li>to find out what basic type is in the vector</li>
</ul></li>
<li><p><code>length()</code></p>
<ul>
<li>how many elements are in it</li>
</ul></li>
<li><p><code>attributes()</code></p>
<ul>
<li>query the vector’s meta data</li>
</ul></li>
</ul>
</div>
<div id="element-of-vectors-can-be-accessed-individually." class="slide section level2">
<h1>Element of vectors can be accessed individually.</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x <-<span class="st"> </span><span class="kw">c</span>(1L, 2L, 3L) <span class="co"># The `L` lets R know you want an interger</span>
x[<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">45</span>
x[<span class="dv">1</span>]</code></pre></div>
<pre><code>## [1] 45</code></pre>
</div>
<div id="a-two-dimensional-atomic-vector-is-called-a-matrix-and-higher-dimensional-vector-is-called-an-array." class="slide section level2">
<h1>A two dimensional atomic vector is called a <em>matrix</em> and higher-dimensional vector is called an <em>array</em>.</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a <-<span class="st"> </span><span class="kw">matrix</span>(<span class="dv">1</span>:<span class="dv">6</span>, <span class="dt">ncol =</span> <span class="dv">3</span>, <span class="dt">nrow =</span> <span class="dv">2</span>)
b <-<span class="st"> </span><span class="kw">array</span>(<span class="dv">1</span>:<span class="dv">12</span>, <span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">3</span>,<span class="dv">4</span>))</code></pre></div>
</div>
<div id="a" class="slide section level2">
<h1>a</h1>
<p>a <- matrix(1:6, ncol = 3, nrow = 2)</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6</code></pre>
</div>
<div id="b" class="slide section level2">
<h1>b</h1>
<p>b <- array(1:12, c(2,3,4))</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">b</code></pre></div>
<pre><code>## , , 1
##
## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6
##
## , , 2
##
## [,1] [,2] [,3]
## [1,] 7 9 11
## [2,] 8 10 12
##
## , , 3
##
## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6
##
## , , 4
##
## [,1] [,2] [,3]
## [1,] 7 9 11
## [2,] 8 10 12</code></pre>
</div>
<div id="dynamic-typing-and-coercions" class="slide section level2">
<h1>Dynamic typing and coercions</h1>
<p>Matrices and array, like vectors, are homogeneous, but it is possible to assign values of different basic types into any one of them. This causes a <em>coercion</em> of the entire data structure.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x</code></pre></div>
<pre><code>## [1] 45 2 3</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x[[<span class="dv">1</span>]] <-<span class="fl">1.1</span>
x</code></pre></div>
<pre><code>## [1] 1.1 2.0 3.0</code></pre>
</div>
<div id="section-4" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[[<span class="dv">2</span>,<span class="dv">1</span>]] <-<span class="st"> "one"</span>
a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] "1" "3" "5"
## [2,] "one" "4" "6"</code></pre>
</div>
<div id="r-has-a-powerful-set-of-subsetting-operations-that-apply-to-all-vectors-uniformly.-r-allows-to-subset-ranges-rows-columns-of-vectors." class="slide section level2">
<h1>R has a powerful set of subsetting operations that apply to all vectors uniformly. R allows, to subset ranges, rows, columns of vectors.</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[<span class="dv">1</span>,] <span class="co"># subset the first row</span></code></pre></div>
<pre><code>## [1] "1" "3" "5"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[<span class="dv">1</span>:<span class="dv">2</span>,] <span class="co"># subset a range consisting of the first and second row</span></code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] "1" "3" "5"
## [2,] "one" "4" "6"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[<span class="dv">1</span>:<span class="dv">2</span>,<span class="dv">2</span>:<span class="dv">3</span>] <span class="co"># subset a range consisting of the first and second row and the second and third column</span></code></pre></div>
<pre><code>## [,1] [,2]
## [1,] "3" "5"
## [2,] "4" "6"</code></pre>
</div>
<div id="coercions" class="slide section level2">
<h1>Coercions</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa <-<span class="st"> </span><span class="kw">as.integer</span>(a) <span class="co"># as.___ functions coerce one type into another</span></code></pre></div>
<pre><code>## Warning: NAs introduced by coercion</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] "1" "3" "5"
## [2,] "one" "4" "6"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa</code></pre></div>
<pre><code>## [1] 1 NA 3 4 5 6</code></pre>
</div>
<div id="section-5" class="slide section level2">
<h1></h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa</code></pre></div>
<pre><code>## [1] 1 NA 3 4 5 6</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dim</span>(aa) <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">3</span>) <span class="co"># dim() refers to the dimension of the data structure</span>
aa</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] NA 4 6</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[<span class="dv">1</span>, a[<span class="dv">1</span>,] ><span class="st"> </span><span class="dv">1</span>] <span class="co"># here we are subsetting the first row of a and returning which positions are > 1</span></code></pre></div>
<pre><code>## [1] "3" "5"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa[<span class="dv">1</span>, aa[<span class="dv">1</span>,] ><span class="st"> </span><span class="dv">1</span>]</code></pre></div>
<pre><code>## [1] 3 5</code></pre>
</div>
<div id="when-using-a-predicate-such-as-a1-1-for-subsetting-behind-the-scenes-r-generates-a-vector-of-logical-values.-true-indicates-a-position-that-should-be-extracted.-so-this-is" class="slide section level2">
<h1>When using a predicate such as <code>a[1,] > 1</code> for subsetting, behind the scenes R generates a vector of logical values. True indicates a position that should be extracted. So this is:</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa[<span class="dv">1</span>,]><span class="dv">1</span></code></pre></div>
<pre><code>## [1] FALSE TRUE TRUE</code></pre>
</div>
<div id="we-can-use-logical-arrays-to-subset-as-follows" class="slide section level2">
<h1>We can use logical arrays to subset as follows:</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">aa[<span class="dv">1</span>, <span class="kw">c</span>(<span class="ot">FALSE</span>, <span class="ot">TRUE</span>, <span class="ot">TRUE</span>)]</code></pre></div>
<pre><code>## [1] 3 5</code></pre>
</div>
<div id="subsetting-can-be-used-in-assignment-operations-as-well." class="slide section level2">
<h1>Subsetting can be used in assignment operations as well.</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] "1" "3" "5"
## [2,] "one" "4" "6"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">a[<span class="dv">1</span>:<span class="dv">3</span>] <-<span class="st"> </span>a[<span class="dv">4</span>:<span class="dv">6</span>]
a</code></pre></div>
<pre><code>## [,1] [,2] [,3]
## [1,] "4" "6" "5"
## [2,] "5" "4" "6"</code></pre>
</div>
<div id="lists" class="slide section level2">
<h1>Lists</h1>
<p>Lists are heterogeneous vectors. The elements of list can be of any kind, including lists and vectors.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">list</span>(<span class="dv">1</span>, <span class="st">"hi"</span>, <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">2</span>))</code></pre></div>
<pre><code>## [[1]]
## [1] 1
##
## [[2]]
## [1] "hi"
##
## [[3]]
## [1] 1 2</code></pre>
<p>The <code>typeof()</code> a list is <code>list</code>. You can test for a list with <code>is.list()</code> and coerce to a list with <code>as.list()</code>. You can turn a list into an atomic vector with <code>unlist()</code>. If the elements of a list have different types, <code>unlist()</code> will coerce.</p>
</div>
<div id="referential-transparency" class="slide section level2">
<h1>Referential transparency</h1>
<p>To facilitate equational reasoning, R attempts to provide <em>referential transparency</em> for function calls. Referential transparency means that arguments are not changed by the function being called. So the following function <code>f(x)</code> does not modify the vector passed in.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x</code></pre></div>
<pre><code>## [1] 1.1 2.0 3.0</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">f <-<span class="st"> </span>function(x) { x[<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">1</span> }
<span class="kw">f</span>(x)
x</code></pre></div>
<pre><code>## [1] 1.1 2.0 3.0</code></pre>
</div>
<div id="questions-on-the-basics-of-r" class="slide section level2">
<h1>Questions on the basics of R?</h1>
</div>
<div id="packages" class="slide section level2">
<h1>Packages</h1>
<ul>
<li><p>In R, collections of data, functions, and compiled code are stored as <em>packages</em>. <em>Packages</em> can be thought of as the computational benchtop equivalent of the reagents and instruments required to perfrom a specific computational assay.</p></li>
<li><p>There are two primary repositories from which to get <em>packages</em>, <a href="https://cran.r-project.org/">CRAN</a> and <a href="http://bioconductor.org/">Bioconductor</a></p></li>
<li><p>Bioconductor has made available a number of previous <a href="http://bioconductor.org/help/course-materials/">courses</a> as well</p></li>
</ul>
</div>
<div id="installing-packages-from-cran" class="slide section level2">
<h1>Installing packages from CRAN</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">install.packages</span>(<span class="st">"tidyverse"</span>, <span class="dt">verbose =</span> T, <span class="dt">repos=</span><span class="st">'http://cran.us.r-project.org'</span>)</code></pre></div>
<pre><code>##
## The downloaded binary packages are in
## /var/folders/d_/gyqsqcq13m7_kcpx9hxdxx540000gn/T//Rtmp8pHiP8/downloaded_packages</code></pre>
</div>
<div id="installing-packages-from-bioconductor" class="slide section level2">
<h1>Installing packages from Bioconductor</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">source</span>(<span class="st">"https://bioconductor.org/biocLite.R"</span>)</code></pre></div>
<pre><code>## Bioconductor version 3.5 (BiocInstaller 1.26.0), ?biocLite for help</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">biocLite</span>(<span class="st">"flowCore"</span>, <span class="dt">verbose =</span> T, <span class="dt">suppressUpdates =</span> T)</code></pre></div>
<pre><code>## BioC_mirror: https://bioconductor.org</code></pre>
<pre><code>## Using Bioconductor 3.5 (BiocInstaller 1.26.0), R 3.4.0 (2017-04-21).</code></pre>
<pre><code>## Installing package(s) 'flowCore'</code></pre>
<pre><code>##
## The downloaded binary packages are in
## /var/folders/d_/gyqsqcq13m7_kcpx9hxdxx540000gn/T//Rtmp8pHiP8/downloaded_packages</code></pre>
</div>
<div id="loading-libraries" class="slide section level2">
<h1>Loading libraries</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(flowCore)
<span class="kw">library</span>(tidyverse)</code></pre></div>
<pre><code>## Loading tidyverse: ggplot2
## Loading tidyverse: tibble
## Loading tidyverse: tidyr
## Loading tidyverse: readr
## Loading tidyverse: purrr
## Loading tidyverse: dplyr</code></pre>
<pre><code>## Conflicts with tidy packages ----------------------------------------------</code></pre>
<pre><code>## filter(): dplyr, flowCore, stats
## lag(): dplyr, stats</code></pre>
</div>
<div id="read-files" class="slide section level2">
<h1>Read Files</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">file.name <-<span class="st"> </span><span class="kw">system.file</span>(<span class="st">"extdata"</span>,<span class="st">"0877408774.B08"</span>, <span class="dt">package=</span><span class="st">"flowCore"</span>)
x <-<span class="st"> </span><span class="kw">read.FCS</span>(file.name, <span class="dt">transformation=</span><span class="ot">FALSE</span>)
<span class="kw">summary</span>(x)</code></pre></div>
<pre><code>## FSC-H SSC-H FL1-H FL2-H FL3-H FL1-A
## Min. 85.0000 11.0000 0.0000 0.0000 0.0000 0.0000
## 1st Qu. 385.0000 141.0000 233.0000 277.0000 90.0000 0.0000
## Median 441.0000 189.0000 545.5000 346.0000 193.0000 26.0000
## Mean 491.9644 277.9105 439.1023 366.1567 179.7122 34.0766
## 3rd Qu. 518.0000 270.0000 610.0000 437.0000 264.0000 51.0000
## Max. 1023.0000 1023.0000 912.0000 1023.0000 900.0000 1023.0000
## FL4-H Time
## Min. 0.0000 1.00
## 1st Qu. 210.0000 122.00
## Median 279.0000 288.00
## Mean 323.5306 294.77
## 3rd Qu. 390.0000 457.50
## Max. 1022.0000 626.00</code></pre>
</div>
<div id="search-keywords" class="slide section level2">
<h1>Search Keywords</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">keyword</span>(x,<span class="kw">c</span>(<span class="st">"$P1E"</span>, <span class="st">"$P2E"</span>, <span class="st">"$P3E"</span>, <span class="st">"$P4E"</span>))</code></pre></div>
<pre><code>## $`$P1E`
## [1] "0,0"
##
## $`$P2E`
## [1] "0,0"
##
## $`$P3E`
## [1] "4,0"
##
## $`$P4E`
## [1] "4,0"</code></pre>
</div>
<div id="print-summary" class="slide section level2">
<h1>Print Summary</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(<span class="kw">read.FCS</span>(file.name)) <span class="co"># if you weren't sure if this is the right file</span></code></pre></div>
<pre><code>## FSC-H SSC-H FL1-H FL2-H FL3-H FL1-A
## Min. 85.0000 11.0000 1.00000 1.00000 1.000000 0.0000
## 1st Qu. 385.0000 141.0000 8.13123 12.07901 2.246790 0.0000
## Median 441.0000 189.0000 135.16485 22.46790 5.674221 26.0000
## Mean 491.9644 277.9105 157.79417 105.98637 8.464880 34.0766
## 3rd Qu. 518.0000 270.0000 241.44182 50.93675 10.746078 51.0000
## Max. 1023.0000 1023.0000 3651.74127 9910.45856 3278.121151 1023.0000
## FL4-H Time
## Min. 1.00000 1.00
## 1st Qu. 6.61169 122.00
## Median 12.29826 288.00
## Mean 140.39784 294.77
## 3rd Qu. 33.37625 457.50
## Max. 9821.71889 626.00</code></pre>
</div>
<div id="one-fcs-file" class="slide section level2">
<h1>One FCS file</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">x <span class="co"># Operator did not annotate the channels!</span></code></pre></div>
<pre><code>## flowFrame object '0877408774.B08'
## with 10000 cells and 8 observables:
## name desc range minRange maxRange
## $P1 FSC-H FSC-H 1024 0 1023
## $P2 SSC-H SSC-H 1024 0 1023
## $P3 FL1-H <NA> 1024 0 1023
## $P4 FL2-H <NA> 1024 0 1023
## $P5 FL3-H <NA> 1024 0 1023
## $P6 FL1-A <NA> 1024 0 1023
## $P7 FL4-H <NA> 1024 0 1023
## $P8 Time Time (51.20 sec.) 1024 0 1023
## 147 keywords are stored in the 'description' slot</code></pre>
</div>
<div id="biaxial-plot" class="slide section level2">
<h1>Biaxial Plot</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(ggcyto)</code></pre></div>
<pre><code>## Loading required package: ncdfFlow</code></pre>
<pre><code>## Loading required package: RcppArmadillo</code></pre>
<pre><code>## Loading required package: BH</code></pre>
<pre><code>## Loading required package: flowWorkspace</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(x, <span class="st">"FL1-H"</span>, <span class="st">"FL2-H"</span>)</code></pre></div>
<pre><code>## Warning: Removed 32 rows containing missing values (geom_hex).</code></pre>
<p><img 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" width="768" /></p>
</div>
<div id="histogram-plot" class="slide section level2">
<h1>Histogram Plot</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(x, <span class="st">"FL1-H"</span>)</code></pre></div>
<p><img 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" width="768" /></p>
</div>
<div id="handling-multiple-fcs-files" class="slide section level2">
<h1>Handling multiple FCS files</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">frames <-<span class="st"> </span><span class="kw">lapply</span>( <span class="co"># member of apply family</span>
<span class="kw">dir</span>(<span class="kw">system.file</span>(<span class="st">"extdata"</span>, <span class="co"># object to which function will be "applied"</span>
<span class="st">"compdata"</span>, <span class="co"># system.file() is pointing to where the data is</span>
<span class="st">"data"</span>,
<span class="dt">package=</span><span class="st">"flowCore"</span>), <span class="co"># which package is the data stored in</span>
<span class="dt">full.names=</span><span class="ot">TRUE</span>), <span class="co"># returns the full file names</span>
read.FCS) <span class="co"># function being applied</span>
<span class="kw">as</span>(frames, <span class="st">"flowSet"</span>) <span class="co"># casting all the frames as a flowSet</span></code></pre></div>
<pre><code>## A flowSet with 5 experiments.
##
## column names:
## FSC-H SSC-H FL1-H FL2-H FL3-H FL1-A FL4-H</code></pre>
</div>
<div id="storing-a-flow-set" class="slide section level2">
<h1>Storing a Flow Set</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">names</span>(frames) <-<span class="st"> </span><span class="kw">sapply</span>(frames, keyword, <span class="st">"SAMPLE ID"</span>) <span class="co"># naming the frames in the flowSet</span>
fs <-<span class="st"> </span><span class="kw">as</span>(frames, <span class="st">"flowSet"</span>) <span class="co"># storing the flowSet as "fs"</span>
fs <span class="co"># TIMTOWTDI</span></code></pre></div>
<pre><code>## A flowSet with 5 experiments.
##
## column names:
## FSC-H SSC-H FL1-H FL2-H FL3-H FL1-A FL4-H</code></pre>
</div>
<div id="annotating-a-flowset" class="slide section level2">
<h1>Annotating a flowSet</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">phenoData</span>(fs)$Filename <-<span class="st"> </span><span class="kw">fsApply</span>(fs, <span class="co"># another apply function</span>
keyword, <span class="co"># applies keyword() on each frame in fs</span>
<span class="st">"$FIL"</span>) <span class="co"># returns the $FIL (file name)</span>
<span class="kw">pData</span>(<span class="kw">phenoData</span>(fs)) <span class="co"># fs is now annotated with the file names</span></code></pre></div>
<pre><code>## name Filename
## NA NA 060909.001
## fitc fitc 060909.002
## pe pe 060909.003
## apc apc 060909.004
## 7AAD 7AAD 060909.005</code></pre>
</div>
<div id="much-more-efficient-method" class="slide section level2">
<h1>Much more efficient method</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">fs <-<span class="st"> </span><span class="kw">read.flowSet</span>(<span class="dt">path=</span><span class="kw">system.file</span>(<span class="st">"extdata"</span>,
<span class="st">"compdata"</span>,
<span class="st">"data"</span>,
<span class="dt">package=</span><span class="st">"flowCore"</span>), <span class="co"># pointing to the data</span>
<span class="dt">name.keyword=</span><span class="st">"SAMPLE ID"</span>,
<span class="dt">phenoData=</span><span class="kw">list</span>(<span class="dt">name=</span><span class="st">"SAMPLE ID"</span>, <span class="dt">Filename=</span><span class="st">"$FIL"</span>)) <span class="co"># annotating the data</span>
fs</code></pre></div>
<pre><code>## A flowSet with 5 experiments.
##
## An object of class 'AnnotatedDataFrame'
## rowNames: NA fitc ... 7AAD (5 total)
## varLabels: name Filename
## varMetadata: labelDescription
##
## column names:
## FSC-H SSC-H FL1-H FL2-H FL3-H FL1-A FL4-H</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">pData</span>(<span class="kw">phenoData</span>(fs))</code></pre></div>
<pre><code>## name Filename
## NA NA 060909.001
## fitc fitc 060909.002
## pe pe 060909.003
## apc apc 060909.004
## 7AAD 7AAD 060909.005</code></pre>
</div>
<div id="vignettes-as-protocols" class="slide section level2">
<h1>Vignettes as Protocols</h1>
<p><a href="http://bioconductor.org/packages/release/bioc/html/ggcyto.html">ggcyto</a></p>
<p><a href="http://bioconductor.org/packages/release/bioc/html/cytofkit.html">cytofkit</a></p>
</div>
<div id="tour-of-rstudio" class="slide section level2">
<h1>Tour of RStudio</h1>
<p><a href="https://www.rstudio.com/">RStudio</a></p>
</div>
<div id="resources" class="slide section level2">
<h1>Resources</h1>
<ul>
<li><p>Lab’s GitHub Repositories</p>
<p>-<a href="https://github.com/nolanlab">Nolan Lab</a></p>
<p>-<a href="https://github.com/rglab">Gottardo Lab</a></p></li>
<li><p>Other labs to follow</p>
<p>-<a href="https://my.vanderbilt.edu/irishlab/">Irish Lab</a></p>
<p>-<a href="http://www.terryfoxlab.ca/people-detail/ryan-brinkman/">Brinkman Lab</a></p></li>
<li><p><a href="https://support.bioconductor.org/">Bioconductor Support</a></p></li>
<li><p><a href="http://cytoforum.stanford.edu/viewforum.php?f=1">CyTOF Forum</a></p></li>
<li><p>Institutional Resources</p></li>
</ul>
</div>
<div id="next-steps-while-here-at-cyto-2017" class="slide section level2">
<h1>Next steps while here at CYTO 2017</h1>
<ul>
<li><p>There are lots of posters about computational cytometry here</p></li>
<li><p>Workshop 11: Automating High Volume Cytometry Data Analysis for Central Facilities</p>
<p>Location: Room 302</p>
<p>Date: Monday, Jun 12 15:45</p></li>
<li><p>Keep posting questions on the <a href="https://github.com/bc2zb/IntroductionToR/issues">GitHub Issues Page</a></p></li>
</ul>
</div>
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