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RScienceLibr_8_HypothesisTests.html
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ul.outline li.nofold {
padding: 0 0 0 20px;
background: transparent url(data:image/gif;base64,R0lGODdhCQAJAIACAMzMzOvr/ywAAAAACQAJAAACD4SPoRvG614Dctb4MEMcFAA7) no-repeat 0px 0.5em;
}
ul.outline li.unfolded {
padding: 0 0 0 20px;
background: transparent url(data:image/gif;base64,R0lGODdhCQAJAKEDAMPD/8zMzOvr/////ywAAAAACQAJAAACEYyPoivG614LAlg7ZZbxoR8UADs=) no-repeat 0px 0.5em;
}
ul.outline li.folded {
padding: 0 0 0 20px;
background: transparent url(data:image/gif;base64,R0lGODdhCQAJAKEDAMPD/8zMzOvr/////ywAAAAACQAJAAACFIyPoiu2sJyCyoF7W3hxz850CFIAADs=) no-repeat 0px 0.5em;
}
ul.outline li.unfolded:hover {
padding: 0 0 0 20px;
background: transparent url(data:image/gif;base64,R0lGODdhCQAJAKEDAAAAAAAA/8PD/////ywAAAAACQAJAAACEYSPoivG614DIlg7ZZbxoQ8UADs=) no-repeat 0px 0.5em;
}
ul.outline li.folded:hover {
padding: 0 0 0 20px;
background: transparent url(data:image/gif;base64,R0lGODdhCQAJAKEDAAAAAAAA/8PD/////ywAAAAACQAJAAACFISPoiu2sZyCyoV7G3hxz850CFIAADs=) no-repeat 0px 0.5em;
}
a.titleslide { font-weight: bold; font-style: italic }
img.hidden { display: none; visibility: hidden }
div.initial_prompt { display: none; visibility: hidden }
div.slide {
visibility: visible;
position: inherit;
}
div.handout {
border-top-style: solid;
border-top-width: thin;
border-top-color: black;
}
@media screen {
.hidden { display: none; visibility: visible }
div.slide.hidden { display: block; visibility: visible }
div.handout.hidden { display: block; visibility: visible }
div.background { display: none; visibility: hidden }
body.single_slide div.initial_prompt { display: block; visibility: visible }
body.single_slide div.background { display: block; visibility: visible }
body.single_slide div.background.hidden { display: none; visibility: hidden }
body.single_slide .invisible { visibility: hidden }
body.single_slide .hidden { display: none; visibility: hidden }
body.single_slide div.slide { position: absolute }
body.single_slide div.handout { display: none; visibility: hidden }
}
@media print {
.hidden { display: block; visibility: visible }
div.slide pre { font-size: 60%; padding-left: 0.5em; }
div.toolbar { display: none; visibility: hidden; }
div.slidy_toc { display: none; visibility: hidden; }
div.background { display: none; visibility: hidden; }
div.slide { page-break-before: always }
div.slide.first-slide { page-break-before: avoid }
}
.jslider table {
margin-left: 0em;
margin-right: 0em;
}
table.dataTable, .shiny-datatable-output div {
font-size: 14pt;
}
.dataTables_info, .dataTables_paginate {
font-size: 19px;
}
pre.sourceCode, code.sourceCode {
font-size: 80%;
}
label, button, input, select, textarea {
font-size: 14pt;
}
ul.nav, ul.nav li {
list-style-type: none;
}
</style>
<script src="data:application/javascript;base64,/* slidy.js

   Copyright (c) 2005-2013 W3C (MIT, ERCIM, Keio), All Rights Reserved.
   W3C liability, trademark, document use and software licensing
   rules apply, see:

   http://www.w3.org/Consortium/Legal/copyright-documents
   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;

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</head>
<body>
<div class="slide titlepage">
<h1 class="title">Hypothesis Testing</h1>
<p class="author">
Fred LaPolla
</p>
<p class="date">June 24, 2021</p>
</div>
<div class="slide section level2">
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a>knitr<span class="op">::</span>opts_chunk<span class="op">$</span><span class="kw">set</span>(<span class="dt">echo =</span> <span class="ot">TRUE</span>)</span></code></pre></div>
</div>
<div id="hypothesis-testing" class="slide section level2">
<h1>Hypothesis Testing</h1>
<p>Tests to see if differences appear in groups we are analyzing.</p>
<p>Typically we want to see if the null hypothesis is true or can be rejected.</p>
<p>Results are termed in rejection of the null or failure to reject the null.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="kw">library</span>(RCurl)</span>
<span id="cb2-2"><a href="#cb2-2"></a>url <-<span class="kw">getURL</span>(<span class="st">"https://raw.githubusercontent.com/fredlapolla/RScience2021_libr/master/NYC_HANES_DIAB.csv"</span>)</span>
<span id="cb2-3"><a href="#cb2-3"></a>nyc <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">text =</span> url)</span>
<span id="cb2-4"><a href="#cb2-4"></a>nyc <-<span class="st"> </span><span class="kw">na.omit</span>(nyc)</span>
<span id="cb2-5"><a href="#cb2-5"></a>nyc<span class="op">$</span>AGEGROUP <-<span class="st"> </span><span class="kw">factor</span>(nyc<span class="op">$</span>AGEGROUP, <span class="dt">levels =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">3</span>, <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">"Youngest"</span>, <span class="st">"Middle"</span>, <span class="st">"Aged"</span>))</span>
<span id="cb2-6"><a href="#cb2-6"></a>nyc<span class="op">$</span>GENDER <-<span class="st"> </span><span class="kw">factor</span>(nyc<span class="op">$</span>GENDER, <span class="dt">levels =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">2</span>, <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">"male"</span>, <span class="st">"female"</span>))</span>
<span id="cb2-7"><a href="#cb2-7"></a><span class="co"># Rename the HSQ_1 factor for identification</span></span>
<span id="cb2-8"><a href="#cb2-8"></a> nyc<span class="op">$</span>HSQ_<span class="dv">1</span> <-<span class="st"> </span><span class="kw">factor</span>(nyc<span class="op">$</span>HSQ_<span class="dv">1</span>, <span class="dt">levels =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dt">labels=</span><span class="kw">c</span>(<span class="st">"Excellent"</span>,<span class="st">"Very Good"</span>,<span class="st">"Good"</span>, <span class="st">"Fair"</span>, <span class="st">"Poor"</span>))</span>
<span id="cb2-9"><a href="#cb2-9"></a> <span class="co"># Rename the DX_DBTS as a factor</span></span>
<span id="cb2-10"><a href="#cb2-10"></a> nyc<span class="op">$</span>DX_DBTS <-<span class="st"> </span><span class="kw">factor</span>(nyc<span class="op">$</span>DX_DBTS,<span class="dt">levels =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">3</span>, <span class="dt">labels=</span><span class="kw">c</span>(<span class="st">"Diabetes with DX"</span>,<span class="st">"Diabetes with no DX"</span>,<span class="st">"No Diabetes"</span>))</span></code></pre></div>
</div>
<div id="p-values" class="slide section level2">
<h1>P Values</h1>
<p>Important to note that a P value is just the odds of finding a result as “far” from the mean of the control group assuming the null hypothesis was true. So .05 means that only 5% of the time we would assume a result as far from the control group’s mean assuming there is no difference.</p>
<p>This is important because in data like RNA Seq Analysis, we may have 1000s of rows, simply see which results are significant at .05 is <strong>Not</strong> going to be meaningful.</p>
<p><strong>Remember</strong> a P value < .05, does not mean either that your finding is “true” and it definitely does not mean it is biologically or scientifically significant.</p>
<p>A p value should be only one part of a broader context, including confidence intervals and honest assessment of how likely the findings were in the first place.</p>
<p>There is an on-going push among statisticians to de-emphasize the p value.</p>
<p>If you have a very small p in r, you get a value like “p-value < 2.2e-16” but for publishing you should write something like “p < .001”</p>
</div>
<div id="contingency-tables-and-chi-squared-x2" class="slide section level2">
<h1>Contingency tables and Chi Squared X^2</h1>
<p>Used for assessing if the proportions of of nominal (factor) variables are what we would expect if the groups were equal of not.</p>
<p>Chi square assumes > 5 observations per cell. Null hypothesis is that rows and columns are independent.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a><span class="kw">chisq.test</span>(nyc<span class="op">$</span>AGEGROUP, nyc<span class="op">$</span>DX_DBTS)</span></code></pre></div>
<pre><code>##
## Pearson's Chi-squared test
##
## data: nyc$AGEGROUP and nyc$DX_DBTS
## X-squared = 88.936, df = 4, p-value < 2.2e-16</code></pre>
<p>We can get the effect size by taking the square root of (X^2/n*degrees of freedom), which is called Cranmer’s V.</p>
</div>
<div id="adding-contingency-tables" class="slide section level2">
<h1>Adding contingency tables</h1>
<p>Typically we will also want to see the actual tables. Creating a table will show us the total nubers, prop.table will tell us the percentage by either row (setting the margin to 1) or column (setting the margin to 2)</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a>AgeDxTable <-<span class="st"> </span><span class="kw">table</span>(nyc<span class="op">$</span>AGEGROUP, nyc<span class="op">$</span>DX_DBTS)</span>
<span id="cb5-2"><a href="#cb5-2"></a>AgeDxTable</span></code></pre></div>
<pre><code>##
## Diabetes with DX Diabetes with no DX No Diabetes
## Youngest 8 3 487
## Middle 53 18 320
## Aged 43 10 170</code></pre>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1"></a> <span class="co"># Proportions of Age by DX per row</span></span>
<span id="cb7-2"><a href="#cb7-2"></a> <span class="kw">prop.table</span>(AgeDxTable, <span class="dv">1</span>)</span></code></pre></div>
<pre><code>##
## Diabetes with DX Diabetes with no DX No Diabetes
## Youngest 0.016064257 0.006024096 0.977911647
## Middle 0.135549872 0.046035806 0.818414322
## Aged 0.192825112 0.044843049 0.762331839</code></pre>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1"></a> <span class="co"># Proportions of Age by DX per column</span></span>
<span id="cb9-2"><a href="#cb9-2"></a> <span class="kw">prop.table</span>(AgeDxTable, <span class="dv">2</span>)</span></code></pre></div>
<pre><code>##
## Diabetes with DX Diabetes with no DX No Diabetes
## Youngest 0.07692308 0.09677419 0.49846469
## Middle 0.50961538 0.58064516 0.32753327
## Aged 0.41346154 0.32258065 0.17400205</code></pre>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1"></a><span class="kw">chisq.test</span>(nyc<span class="op">$</span>AGEGROUP, nyc<span class="op">$</span>DX_DBTS)</span></code></pre></div>
<pre><code>##
## Pearson's Chi-squared test
##
## data: nyc$AGEGROUP and nyc$DX_DBTS
## X-squared = 88.936, df = 4, p-value < 2.2e-16</code></pre>
</div>
<div id="contingency-test-with-small-values" class="slide section level2">
<h1>Contingency test with small values</h1>
<p>For small n (less than 5 observations in a cell), the test for fisher’s exact test is:</p>
<p>fisher.test()</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1"></a><span class="kw">fisher.test</span>(nyc<span class="op">$</span>AGEGROUP, nyc<span class="op">$</span>DX_DBTS)</span></code></pre></div>
<pre><code>##
## Fisher's Exact Test for Count Data
##
## data: nyc$AGEGROUP and nyc$DX_DBTS
## p-value < 2.2e-16
## alternative hypothesis: two.sided</code></pre>
</div>
<div id="on-your-own" class="slide section level2">
<h1>On your own</h1>
<p>Make a contingency table of HSQ1 vs a dichotomized Has or does not have diabetes. Run a chi square test and look up the Cranmer’s V (square-root of X square divided by n * df). We can then look up online a table to see if this is a small, moderate or large effect.</p>
</div>
<div id="parametric-tests" class="slide section level2">
<h1>Parametric Tests</h1>
<p>Parametric tests assume normality of our data.</p>
<p>We can visually assess this with histograms. We can also use the Sharpiro-Wilk test that comes in pastecs::stat.desc(norm = TRUE) to see a p value for if the data is normal</p>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1"></a><span class="kw">library</span>(pastecs)</span>
<span id="cb15-2"><a href="#cb15-2"></a><span class="kw">stat.desc</span>(nyc<span class="op">$</span>UCREATININE, <span class="dt">norm =</span> <span class="ot">TRUE</span>)</span></code></pre></div>
<pre><code>## nbr.val nbr.null nbr.na min max range
## 1.112000e+03 0.000000e+00 0.000000e+00 1.000000e+00 6.120000e+02 6.110000e+02
## sum median mean SE.mean CI.mean.0.95 var
## 1.544280e+05 1.280000e+02 1.388741e+02 2.593517e+00 5.088744e+00 7.479680e+03
## std.dev coef.var skewness skew.2SE kurtosis kurt.2SE
## 8.648514e+01 6.227593e-01 1.063545e+00 7.249154e+00 1.852644e+00 6.319477e+00
## normtest.W normtest.p
## 9.378843e-01 3.863051e-21</code></pre>
<p>We can also run this test on its own:</p>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1"></a><span class="kw">shapiro.test</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL)</span></code></pre></div>
<pre><code>##
## Shapiro-Wilk normality test
##
## data: nyc$CHOLESTEROLTOTAL
## W = 0.98776, p-value = 5.092e-08</code></pre>
<p>The normtest.p test tells us if data is likely to differ significantly from a normal distribution. p < .05 means it is not normally distributed, but a caveat is that very large sets of data will often have a “significant” p value since they are powered to detect very small differences.</p>
<p>We can also run the Kolmogorov-Smirnov Test:</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1"></a><span class="kw">ks.test</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL, pnorm, <span class="kw">mean</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL, <span class="dt">na.rm =</span> <span class="ot">TRUE</span>), <span class="kw">sd</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL, <span class="dt">na.rm =</span> <span class="ot">TRUE</span>))</span></code></pre></div>
<pre><code>## Warning in ks.test(nyc$CHOLESTEROLTOTAL, pnorm, mean(nyc$CHOLESTEROLTOTAL, :
## ties should not be present for the Kolmogorov-Smirnov test</code></pre>
<pre><code>##
## One-sample Kolmogorov-Smirnov test
##
## data: nyc$CHOLESTEROLTOTAL
## D = 0.039853, p-value = 0.05848
## alternative hypothesis: two-sided</code></pre>
</div>
<div id="homogenity-of-variance" class="slide section level2">
<h1>Homogenity of Variance</h1>
<p>We also want to test the assumption of homogeneity of variance. This basically means that at all levels going up of a variable, the amount of variation remains consistently the same. For example, we would want to know if the amount of variation in, say, cholesterol, was similar in diabetics and non-diabetics to compare. We can test this with a command called</p>
<p>leveneTest(VariableOfInterest, groups, center = median/mean)</p>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1"></a><span class="kw">library</span>(car)</span></code></pre></div>
<pre><code>## Loading required package: carData</code></pre>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1"></a><span class="kw">leveneTest</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL, nyc<span class="op">$</span>GENDER, <span class="dt">center =</span> mean)</span></code></pre></div>
<pre><code>## Levene's Test for Homogeneity of Variance (center = mean)
## Df F value Pr(>F)
## group 1 0.0271 0.8692
## 1110</code></pre>
<p>Like with the Shapiro-Wilk, a significant p < .05 means this does not match the assumption of equality of variance.</p>
</div>
<div id="t-test" class="slide section level2">
<h1>T Test</h1>
<p>T Test is used for comparing the means between two normally distributed groups. The null hypothesis says there is no difference between means of the groups.</p>
<p>First we will review assessing normality.</p>
<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1"></a><span class="kw">par</span>(<span class="dt">mfrow =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">2</span>))</span>
<span id="cb26-2"><a href="#cb26-2"></a><span class="kw">library</span>(psych)</span></code></pre></div>
<pre><code>##
## Attaching package: 'psych'</code></pre>
<pre><code>## The following object is masked from 'package:car':
##
## logit</code></pre>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1"></a><span class="kw">library</span>(dplyr)</span></code></pre></div>
<pre><code>##
## Attaching package: 'dplyr'</code></pre>
<pre><code>## The following object is masked from 'package:car':
##
## recode</code></pre>
<pre><code>## The following objects are masked from 'package:pastecs':
##
## first, last</code></pre>
<pre><code>## The following objects are masked from 'package:stats':
##
## filter, lag</code></pre>
<pre><code>## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union</code></pre>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb35-1"><a href="#cb35-1"></a><span class="kw">by</span>( nyc<span class="op">$</span>CHOLESTEROLTOTAL,nyc<span class="op">$</span>GENDER, hist)</span></code></pre></div>
<p><img src="data:image/png;base64,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" width="768" /></p>
<pre><code>## nyc$GENDER: male
## $breaks
## [1] 80 100 120 140 160 180 200 220 240 260 280 300 320 340
##
## $counts
## [1] 2 19 28 89 96 90 73 41 23 8 3 1 1
##
## $density
## [1] 0.0002109705 0.0020042194 0.0029535865 0.0093881857 0.0101265823
## [6] 0.0094936709 0.0077004219 0.0043248945 0.0024261603 0.0008438819
## [11] 0.0003164557 0.0001054852 0.0001054852
##
## $mids
## [1] 90 110 130 150 170 190 210 230 250 270 290 310 330
##
## $xname
## [1] "dd[x, ]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## ------------------------------------------------------------
## nyc$GENDER: female
## $breaks
## [1] 80 100 120 140 160 180 200 220 240 260 280 300 320
##
## $counts
## [1] 2 11 41 113 122 139 94 58 38 11 3 6
##
## $density
## [1] 0.0001567398 0.0008620690 0.0032131661 0.0088557994 0.0095611285
## [6] 0.0108934169 0.0073667712 0.0045454545 0.0029780564 0.0008620690
## [11] 0.0002351097 0.0004702194
##
## $mids
## [1] 90 110 130 150 170 190 210 230 250 270 290 310
##
## $xname
## [1] "dd[x, ]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"</code></pre>
<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1"></a>psych<span class="op">::</span><span class="kw">describe</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL)</span></code></pre></div>
<pre><code>## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 1112 185.79 37.68 183 184.18 38.55 95 335 240 0.45 0.28 1.13</code></pre>
<div class="sourceCode" id="cb39"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb39-1"><a href="#cb39-1"></a>femChol <-<span class="st"> </span>nyc <span class="op">%>%</span><span class="st"> </span><span class="kw">filter</span>(GENDER <span class="op">==</span><span class="st"> "female"</span>) </span>
<span id="cb39-2"><a href="#cb39-2"></a>maleChol <-<span class="st"> </span>nyc <span class="op">%>%</span><span class="st"> </span><span class="kw">filter</span>(GENDER <span class="op">==</span><span class="st"> "male"</span>)</span>
<span id="cb39-3"><a href="#cb39-3"></a>psych<span class="op">::</span><span class="kw">describe</span>(femChol<span class="op">$</span>CHOLESTEROLTOTAL)</span></code></pre></div>
<pre><code>## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 638 187.39 37.55 184 185.7 38.55 95 315 220 0.47 0.23 1.49</code></pre>
<div class="sourceCode" id="cb41"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb41-1"><a href="#cb41-1"></a>psych<span class="op">::</span><span class="kw">describe</span>(maleChol<span class="op">$</span>CHOLESTEROLTOTAL)</span></code></pre></div>
<pre><code>## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 474 183.64 37.79 181 182.21 37.06 98 335 237 0.43 0.32 1.74</code></pre>
<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb43-1"><a href="#cb43-1"></a><span class="co">## close enough for the demo</span></span></code></pre></div>
</div>
<div id="t-tests" class="slide section level2">
<h1>T-Tests</h1>
<p>Now to actually do the T-Test: t.test compares the means. If we are comparing two objects, such as two columns, the notation is t.test(varA <strong>,</strong> VarB). If we are comparing some column by some variable (like cholesterol by sex) we would use the tilde:</p>
<div class="sourceCode" id="cb44"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb44-1"><a href="#cb44-1"></a><span class="kw">t.test</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL <span class="op">~</span><span class="st"> </span>nyc<span class="op">$</span>GENDER)</span></code></pre></div>
<pre><code>##
## Welch Two Sample t-test
##
## data: nyc$CHOLESTEROLTOTAL by nyc$GENDER
## t = -1.6414, df = 1015.7, p-value = 0.101
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -8.2355605 0.7334772
## sample estimates:
## mean in group male mean in group female
## 183.6392 187.3903</code></pre>
<p>In R, if you set var.equal = FALSE, R automatically checks the variances to see if they are equal and “decides” to run the student vs Welch test based on if they are equal or not, so you can leave as False.</p>
<div class="sourceCode" id="cb46"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb46-1"><a href="#cb46-1"></a><span class="kw">t.test</span>(femChol<span class="op">$</span>CHOLESTEROLTOTAL, maleChol<span class="op">$</span>CHOLESTEROLTOTAL, <span class="dt">paired =</span> <span class="ot">FALSE</span>, <span class="dt">alternative =</span> <span class="st">"two.sided"</span>, <span class="dt">conf.level =</span> <span class="fl">0.95</span>, <span class="dt">var.equal =</span> <span class="ot">FALSE</span>)</span></code></pre></div>
<pre><code>##
## Welch Two Sample t-test
##
## data: femChol$CHOLESTEROLTOTAL and maleChol$CHOLESTEROLTOTAL
## t = 1.6414, df = 1015.7, p-value = 0.101
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.7334772 8.2355605
## sample estimates:
## mean of x mean of y
## 187.3903 183.6392</code></pre>
<p>Things to note, paired is set to false. Paired would mean they were the same people/subjects. So for example if we weighed people at the start of a test, then put them on a diet and weighed at the end, that would be paired. Here the male and female groups are totally separate people.</p>
<p>The tails “alternative” is two.sided. It could be lesser or greater if we were doing a single tailed test, but this is less common.</p>
<p>We also set variance as equal because the variances were close. A more conservative approach would be to set as false.</p>
</div>
<div id="on-your-own-1" class="slide section level2">
<h1>On Your Own</h1>
<p>Try comparing mean LDL by if a person has diabetes or not. To do this you will need to:</p>
<ol style="list-style-type: decimal">
<li>Collapse Diabetes into two groups</li>
<li>Check that LDL Estimate appears normally distributed</li>
<li>Run a T Test.</li>
</ol>
</div>
<div id="non-parametric-tests-for-comparing-medians" class="slide section level2">
<h1>Non-Parametric Tests for Comparing Medians</h1>
<h3 id="mann-whitney-unpaired-and-wilcoxon-paired">Mann-Whitney (unpaired) and Wilcoxon (paired)</h3>
<p>If we have a small sample under 30 (which in this case we have a large sample) and non-normally distributed data we may need to choose a non-parametric test.</p>
<p><strong>Confusing note:</strong> Both of these are called wilcox.test() in R, and we then set an argument to be paired = TRUE or FALSE.</p>
<p>Remember paired means they are the same subjects before and after, unpaired means they are separate.</p>
<p>Also non-parametric means not normally distributed. Outliers will throw off t-tests and parametric tests.</p>
<div class="sourceCode" id="cb48"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb48-1"><a href="#cb48-1"></a><span class="co">## Because paired = False, technically this is a Mann-Whitney test</span></span>
<span id="cb48-2"><a href="#cb48-2"></a><span class="kw">wilcox.test</span>( nyc<span class="op">$</span>COTININE <span class="op">~</span><span class="st"> </span>nyc<span class="op">$</span>GENDER, <span class="dt">paired =</span> <span class="ot">FALSE</span>)</span></code></pre></div>
<pre><code>##
## Wilcoxon rank sum test with continuity correction
##
## data: nyc$COTININE by nyc$GENDER
## W = 160394, p-value = 0.06218
## alternative hypothesis: true location shift is not equal to 0</code></pre>
<p>If these were before and after data, we could perform the Wilcoxon test by setting paired = TRUE.</p>
</div>
<div id="on-your-own-2" class="slide section level2">
<h1>On Your Own</h1>
<p>Try comparing the means of A1C in diabetics to non-diabetics. What command will you use, and which arguments will it take?</p>
</div>
<div id="correlations" class="slide section level2">
<h1>Correlations</h1>
<h3 id="pearson-r-parametric-spearman-rho-non-parametric-kendalls-tau-non-parametric">Pearson’ R (parametric), Spearman Rho (non-parametric), Kendall’s Tau (non-parametric)</h3>
<p>There are several options: cor(), cor.test() and rcorr(). Cor does not provide a confidence interval or P Value, but can do multiple correlations. Rcorr() requires a matrix and does not calculte Kendall’s Tau.</p>
<p>Note here we are doing cor.test(), but when we made heatmaps we did just cor(). The difference is cor.test provides the 95% confidence intervals and a p value, as well as the pearson’s R or spearman’s Rho, where cor just provides R/Rho.</p>
<div class="sourceCode" id="cb50"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb50-1"><a href="#cb50-1"></a><span class="kw">cor.test</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL, nyc<span class="op">$</span>SPAGE, <span class="dt">method =</span> <span class="st">"pearson"</span>)</span></code></pre></div>
<pre><code>##
## Pearson's product-moment correlation
##
## data: nyc$CHOLESTEROLTOTAL and nyc$SPAGE
## t = 6.6702, df = 1110, p-value = 4.021e-11
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1391289 0.2521869
## sample estimates:
## cor
## 0.1963103</code></pre>
<p>We can then square the R result. This gives us an estimate of how much the variability in the outcome is shared by the other correlating variable. This is often expressed as how much variation is accounted for by the other variable.</p>
</div>
<div id="non-parametric-spearmans-rho" class="slide section level2">
<h1>Non-Parametric: Spearman’s Rho</h1>
<div class="sourceCode" id="cb52"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb52-1"><a href="#cb52-1"></a><span class="kw">cor.test</span>(nyc<span class="op">$</span>GLUCOSE, nyc<span class="op">$</span>A1C, <span class="dt">method =</span> <span class="st">"spearman"</span>)</span></code></pre></div>
<pre><code>## Warning in cor.test.default(nyc$GLUCOSE, nyc$A1C, method = "spearman"): Cannot
## compute exact p-value with ties</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: nyc$GLUCOSE and nyc$A1C
## S = 126116500, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.4496878</code></pre>
</div>
<div id="non-parametric-kendalls-tau" class="slide section level2">
<h1>Non-Parametric: Kendall’s Tau</h1>
<p>Kendall’s Tau is more appropriate for smaller data</p>
</div>
<div id="on-your-own-3" class="slide section level2">
<h1>On Your Own</h1>
<p>Run a correlation of lead to to total mercury. Which test will you choose and why? What results do you get?</p>
</div>
<div id="analysis-of-variance-anova" class="slide section level2">
<h1>Analysis of Variance ANOVA</h1>
<p>A test that assumes normal distribution for assessing difference in means when you have multiple groups. There are multiple ways to do this, and one is to run aov() which does a linear regression on the back end. The result of this then should be summarized or run through ANOVA.</p>
<div class="sourceCode" id="cb55"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb55-1"><a href="#cb55-1"></a>CholDiabAnova <-<span class="st"> </span><span class="kw">aov</span>(nyc<span class="op">$</span>CHOLESTEROLTOTAL <span class="op">~</span><span class="st"> </span>nyc<span class="op">$</span>DX_DBTS)</span>
<span id="cb55-2"><a href="#cb55-2"></a><span class="kw">summary</span>(CholDiabAnova)</span></code></pre></div>
<pre><code>## Df Sum Sq Mean Sq F value Pr(>F)
## nyc$DX_DBTS 2 2479 1240 0.873 0.418
## Residuals 1109 1575020 1420</code></pre>
<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb57-1"><a href="#cb57-1"></a><span class="kw">anova</span>(CholDiabAnova)</span></code></pre></div>
<pre><code>## Analysis of Variance Table
##
## Response: nyc$CHOLESTEROLTOTAL
## Df Sum Sq Mean Sq F value Pr(>F)
## nyc$DX_DBTS 2 2479 1239.7 0.8729 0.418
## Residuals 1109 1575020 1420.2</code></pre>
<p>We often may want to adjust the p value if we have multiple p values. We can use p.adjust and set the method, for example “bonferroni” and “fdr”</p>
<div class="sourceCode" id="cb59"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb59-1"><a href="#cb59-1"></a><span class="kw">p.adjust</span>(.<span class="dv">418</span>, <span class="dt">method=</span><span class="st">"bonferroni"</span>, <span class="dv">3</span>)</span></code></pre></div>
<pre><code>## [1] 1</code></pre>
<div class="sourceCode" id="cb61"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb61-1"><a href="#cb61-1"></a><span class="kw">p.adjust</span>(.<span class="dv">418</span>, <span class="dt">method =</span> <span class="st">"fdr"</span>, <span class="dv">3</span>)</span></code></pre></div>
<pre><code>## [1] 1</code></pre>
</div>
<div id="power-assessment" class="slide section level2">
<h1>Power Assessment</h1>
<p>Assessing power will help readers of your research to know the likelihood of type II error (saying there is not a difference when in fact one exists). Underpowered studies are a major problem in pre-clinical research that limit the replicability of findings. It is best to be transparent about providing a power calculation so that readers will know if results need to be confirmed with larger studies.</p>
<p>Check out the information provided by Stat Methods on using the pwr package for power tests for different common hypothesis tests: <a href="https://www.statmethods.net/stats/power.html" class="uri">https://www.statmethods.net/stats/power.html</a></p>
<div class="sourceCode" id="cb63"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb63-1"><a href="#cb63-1"></a><span class="kw">install.packages</span>(<span class="st">"pwr"</span>, <span class="dt">repos =</span> <span class="st">"http://cran.us.r-project.org"</span>)</span></code></pre></div>
<pre><code>##
## The downloaded binary packages are in
## /var/folders/wh/kxxcb38x3970_qdg14gscpd1k2bqnj/T//RtmpyExycI/downloaded_packages</code></pre>
<div class="sourceCode" id="cb65"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb65-1"><a href="#cb65-1"></a><span class="kw">library</span>(pwr) </span>
<span id="cb65-2"><a href="#cb65-2"></a><span class="kw">pwr.t.test</span>(<span class="dt">n=</span><span class="dv">450</span> , <span class="dt">d =</span><span class="fl">0.1194496</span> , <span class="dt">sig.level =</span><span class="fl">0.05</span>, <span class="dt">type =</span> <span class="st">"two.sample"</span>, <span class="dt">alternative=</span>(<span class="st">"two.sided"</span>))</span></code></pre></div>
<pre><code>##
## Two-sample t test power calculation
##
## n = 450
## d = 0.1194496
## sig.level = 0.05
## power = 0.43254
## alternative = two.sided
##
## NOTE: n is number in *each* group</code></pre>
<div class="sourceCode" id="cb67"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb67-1"><a href="#cb67-1"></a><span class="kw">pwr.t.test</span>( <span class="dt">d =</span> <span class="fl">0.1194496</span> , <span class="dt">sig.level =</span> <span class="fl">0.05</span>, <span class="dt">power =</span> <span class="fl">0.8</span>, <span class="dt">type =</span> <span class="st">"two.sample"</span>, <span class="dt">alternative=</span>(<span class="st">"two.sided"</span>))</span></code></pre></div>
<pre><code>##
## Two-sample t test power calculation
##
## n = 1101.15
## d = 0.1194496
## sig.level = 0.05
## power = 0.8
## alternative = two.sided
##
## NOTE: n is number in *each* group</code></pre>
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