42 |
43 | ``` r
44 |
45 | # visualize quantiles out of given probability
46 | vdist_normal_perc(0.95, mean = 2, sd = 1.36, type = 'both')
47 | ```
48 |
49 | 
50 |
51 | ``` r
52 |
53 | # visualize probability from a given quantile
54 | vdist_normal_prob(c(-1.74, 1.83), type = 'both')
55 | ```
56 |
57 | 
58 |
59 | ## Getting Help
60 |
61 | If you encounter a bug, please file a minimal reproducible example using
62 | [reprex](https://reprex.tidyverse.org/index.html) on github. For
63 | questions and clarifications, use
64 | [StackOverflow](https://stackoverflow.com/).
65 |
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/_pkgdown.yml:
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1 | url: https://vistributions.rsquaredacademy.com
2 | template:
3 | bootstrap: 5
4 |
5 | authors:
6 | Aravind Hebbali:
7 | href: https://www.aravindhebbali.com
8 |
9 | templates:
10 | params:
11 | bootswatch: cerulean
12 | ganalytics: UA-57270671-33
13 | docsearch:
14 | api_key:
15 | index_name: vistribution
16 |
17 | navbar:
18 | title: "vistributions"
19 | type: inverse
20 | left:
21 | - text: "Home"
22 | href: index.html
23 | - text: "Guides"
24 | menu:
25 | - text: "Introduction"
26 | href: articles/introduction-to-vistributions.html
27 | - text: "Reference"
28 | menu:
29 | - text: "Functions"
30 | href: reference/index.html
31 | - text: "News"
32 | href: news/index.html
33 |
34 | right:
35 | - icon: fa-github
36 | href: https://github.com/rsquaredacademy/vistributions
37 |
38 | home:
39 | links:
40 | - text: Our R packages
41 | href: https://pkgs.rsquaredacademy.com
42 | - text: Read our blog
43 | href: https://blog.rsquaredacademy.com
44 | - text: Our ebooks
45 | href: https://ebooks.rsquaredacademy.com
46 | - text: Online courses
47 | href: https://www.rsquaredacademy.com
48 |
49 | reference:
50 | - title: Shiny App
51 |
52 | contents:
53 | - vdist_launch_app
54 |
55 | - title: Binomial
56 |
57 | contents:
58 | - vdist_binom_plot
59 | - vdist_binom_perc
60 | - vdist_binom_prob
61 |
62 |
63 | - title: Chi Square
64 |
65 | contents:
66 | - vdist_chisquare_plot
67 | - vdist_chisquare_perc
68 | - vdist_chisquare_prob
69 |
70 | - title: Normal
71 |
72 | contents:
73 | - vdist_normal_plot
74 | - vdist_normal_perc
75 | - vdist_normal_prob
76 |
77 | - title: f
78 |
79 | contents:
80 | - vdist_f_plot
81 | - vdist_f_perc
82 | - vdist_f_prob
83 |
84 | - title: t
85 |
86 | contents:
87 | - vdist_t_plot
88 | - vdist_t_perc
89 | - vdist_t_prob
--------------------------------------------------------------------------------
/codecov.yml:
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1 | comment: false
2 |
3 | coverage:
4 | status:
5 | project:
6 | default:
7 | target: auto
8 | threshold: 1%
9 | informational: true
10 | patch:
11 | default:
12 | target: auto
13 | threshold: 1%
14 | informational: true
15 |
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/cran-comments.md:
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1 | ## R CMD check results
2 |
3 | 0 errors | 0 warnings | 0 note
4 |
5 |
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/docs/404.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
57 |
58 |
61 |
62 | Content not found. Please use links in the navbar.
63 |
64 | `, etc.) that has more than one element. Defaults to 1 (for ``).
76 | getTopLevel: function($scope) {
77 | for (var i = 1; i <= 6; i++) {
78 | var $headings = this.findOrFilter($scope, 'h' + i);
79 | if ($headings.length > 1) {
80 | return i;
81 | }
82 | }
83 |
84 | return 1;
85 | },
86 |
87 | // returns the elements for the top level, and the next below it
88 | getHeadings: function($scope, topLevel) {
89 | var topSelector = 'h' + topLevel;
90 |
91 | var secondaryLevel = topLevel + 1;
92 | var secondarySelector = 'h' + secondaryLevel;
93 |
94 | return this.findOrFilter($scope, topSelector + ',' + secondarySelector);
95 | },
96 |
97 | getNavLevel: function(el) {
98 | return parseInt(el.tagName.charAt(1), 10);
99 | },
100 |
101 | populateNav: function($topContext, topLevel, $headings) {
102 | var $context = $topContext;
103 | var $prevNav;
104 |
105 | var helpers = this;
106 | $headings.each(function(i, el) {
107 | var $newNav = helpers.generateNavItem(el);
108 | var navLevel = helpers.getNavLevel(el);
109 |
110 | // determine the proper $context
111 | if (navLevel === topLevel) {
112 | // use top level
113 | $context = $topContext;
114 | } else if ($prevNav && $context === $topContext) {
115 | // create a new level of the tree and switch to it
116 | $context = helpers.createChildNavList($prevNav);
117 | } // else use the current $context
118 |
119 | $context.append($newNav);
120 |
121 | $prevNav = $newNav;
122 | });
123 | },
124 |
125 | parseOps: function(arg) {
126 | var opts;
127 | if (arg.jquery) {
128 | opts = {
129 | $nav: arg
130 | };
131 | } else {
132 | opts = arg;
133 | }
134 | opts.$scope = opts.$scope || $(document.body);
135 | return opts;
136 | }
137 | },
138 |
139 | // accepts a jQuery object, or an options object
140 | init: function(opts) {
141 | opts = this.helpers.parseOps(opts);
142 |
143 | // ensure that the data attribute is in place for styling
144 | opts.$nav.attr('data-toggle', 'toc');
145 |
146 | var $topContext = this.helpers.createChildNavList(opts.$nav);
147 | var topLevel = this.helpers.getTopLevel(opts.$scope);
148 | var $headings = this.helpers.getHeadings(opts.$scope, topLevel);
149 | this.helpers.populateNav($topContext, topLevel, $headings);
150 | }
151 | };
152 |
153 | $(function() {
154 | $('nav[data-toggle="toc"]').each(function(i, el) {
155 | var $nav = $(el);
156 | Toc.init($nav);
157 | });
158 | });
159 | })();
160 |
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--------------------------------------------------------------------------------
1 | /*!
2 | * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
3 | * Copyright 2015 Aidan Feldman
4 | * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
5 | !function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('');n.attr("href","#"+e),n.text(t);var r=a("");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
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1 | /*!
2 | * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
3 | * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
4 | * License: MIT
5 | */
6 |
7 | !function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=ls.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
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1 | /*!
2 | * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
3 | * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
4 | * License: MIT
5 | */
6 |
7 | !function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
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1 | $(function() {
2 |
3 | // register a handler to move the focus to the search bar
4 | // upon pressing shift + "/" (i.e. "?")
5 | $(document).on('keydown', function(e) {
6 | if (e.shiftKey && e.keyCode == 191) {
7 | e.preventDefault();
8 | $("#search-input").focus();
9 | }
10 | });
11 |
12 | $(document).ready(function() {
13 | // do keyword highlighting
14 | /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */
15 | var mark = function() {
16 |
17 | var referrer = document.URL ;
18 | var paramKey = "q" ;
19 |
20 | if (referrer.indexOf("?") !== -1) {
21 | var qs = referrer.substr(referrer.indexOf('?') + 1);
22 | var qs_noanchor = qs.split('#')[0];
23 | var qsa = qs_noanchor.split('&');
24 | var keyword = "";
25 |
26 | for (var i = 0; i < qsa.length; i++) {
27 | var currentParam = qsa[i].split('=');
28 |
29 | if (currentParam.length !== 2) {
30 | continue;
31 | }
32 |
33 | if (currentParam[0] == paramKey) {
34 | keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20"));
35 | }
36 | }
37 |
38 | if (keyword !== "") {
39 | $(".contents").unmark({
40 | done: function() {
41 | $(".contents").mark(keyword);
42 | }
43 | });
44 | }
45 | }
46 | };
47 |
48 | mark();
49 | });
50 | });
51 |
52 | /* Search term highlighting ------------------------------*/
53 |
54 | function matchedWords(hit) {
55 | var words = [];
56 |
57 | var hierarchy = hit._highlightResult.hierarchy;
58 | // loop to fetch from lvl0, lvl1, etc.
59 | for (var idx in hierarchy) {
60 | words = words.concat(hierarchy[idx].matchedWords);
61 | }
62 |
63 | var content = hit._highlightResult.content;
64 | if (content) {
65 | words = words.concat(content.matchedWords);
66 | }
67 |
68 | // return unique words
69 | var words_uniq = [...new Set(words)];
70 | return words_uniq;
71 | }
72 |
73 | function updateHitURL(hit) {
74 |
75 | var words = matchedWords(hit);
76 | var url = "";
77 |
78 | if (hit.anchor) {
79 | url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor;
80 | } else {
81 | url = hit.url + '?q=' + escape(words.join(" "));
82 | }
83 |
84 | return url;
85 | }
86 |
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1 | {
2 | "index_name": "vistributions",
3 | "start_urls": [
4 | {
5 | "url": "https://vistributions.rsquaredacademy.com/index.html",
6 | "selectors_key": "homepage",
7 | "tags": [
8 | "homepage"
9 | ]
10 | },
11 | {
12 | "url": "https://vistributions.rsquaredacademy.com/reference",
13 | "selectors_key": "reference",
14 | "tags": [
15 | "reference"
16 | ]
17 | },
18 | {
19 | "url": "https://vistributions.rsquaredacademy.com/articles",
20 | "selectors_key": "articles",
21 | "tags": [
22 | "articles"
23 | ]
24 | }
25 | ],
26 | "stop_urls": [
27 | "/reference/$",
28 | "/reference/index.html",
29 | "/articles/$",
30 | "/articles/index.html"
31 | ],
32 | "sitemap_urls": [
33 | "https://vistributions.rsquaredacademy.com/sitemap.xml"
34 | ],
35 | "selectors": {
36 | "homepage": {
37 | "lvl0": {
38 | "selector": ".contents h1",
39 | "default_value": "vistributions Home page"
40 | },
41 | "lvl1": {
42 | "selector": ".contents h2"
43 | },
44 | "lvl2": {
45 | "selector": ".contents h3",
46 | "default_value": "Context"
47 | },
48 | "lvl3": ".ref-arguments td, .ref-description",
49 | "text": ".contents p, .contents li, .contents .pre"
50 | },
51 | "reference": {
52 | "lvl0": {
53 | "selector": ".contents h1"
54 | },
55 | "lvl1": {
56 | "selector": ".contents .name",
57 | "default_value": "Argument"
58 | },
59 | "lvl2": {
60 | "selector": ".ref-arguments th",
61 | "default_value": "Description"
62 | },
63 | "lvl3": ".ref-arguments td, .ref-description",
64 | "text": ".contents p, .contents li"
65 | },
66 | "articles": {
67 | "lvl0": {
68 | "selector": ".contents h1"
69 | },
70 | "lvl1": {
71 | "selector": ".contents .name"
72 | },
73 | "lvl2": {
74 | "selector": ".contents h2, .contents h3",
75 | "default_value": "Context"
76 | },
77 | "text": ".contents p, .contents li"
78 | }
79 | },
80 | "selectors_exclude": [
81 | ".dont-index"
82 | ],
83 | "min_indexed_level": 2,
84 | "custom_settings": {
85 | "separatorsToIndex": "_",
86 | "attributesToRetrieve": [
87 | "hierarchy",
88 | "content",
89 | "anchor",
90 | "url",
91 | "url_without_anchor"
92 | ]
93 | }
94 | }
95 |
96 |
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1 | // https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
2 | document.addEventListener("DOMContentLoaded", function () {
3 | var mathElements = document.getElementsByClassName("math");
4 | var macros = [];
5 | for (var i = 0; i < mathElements.length; i++) {
6 | var texText = mathElements[i].firstChild;
7 | if (mathElements[i].tagName == "SPAN") {
8 | katex.render(texText.data, mathElements[i], {
9 | displayMode: mathElements[i].classList.contains("display"),
10 | throwOnError: false,
11 | macros: macros,
12 | fleqn: false
13 | });
14 | }}});
15 |
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/docs/lightswitch.js:
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1 |
2 | /*!
3 | * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
4 | * Copyright 2011-2023 The Bootstrap Authors
5 | * Licensed under the Creative Commons Attribution 3.0 Unported License.
6 | * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
7 | */
8 |
9 | const getStoredTheme = () => localStorage.getItem('theme')
10 | const setStoredTheme = theme => localStorage.setItem('theme', theme)
11 |
12 | const getPreferredTheme = () => {
13 | const storedTheme = getStoredTheme()
14 | if (storedTheme) {
15 | return storedTheme
16 | }
17 |
18 | return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
19 | }
20 |
21 | const setTheme = theme => {
22 | if (theme === 'auto') {
23 | document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
24 | } else {
25 | document.documentElement.setAttribute('data-bs-theme', theme)
26 | }
27 | }
28 |
29 | function bsSetupThemeToggle () {
30 | 'use strict'
31 |
32 | const showActiveTheme = (theme, focus = false) => {
33 | var activeLabel, activeIcon;
34 |
35 | document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
36 | const buttonTheme = element.getAttribute('data-bs-theme-value')
37 | const isActive = buttonTheme == theme
38 |
39 | element.classList.toggle('active', isActive)
40 | element.setAttribute('aria-pressed', isActive)
41 |
42 | if (isActive) {
43 | activeLabel = element.textContent;
44 | activeIcon = element.querySelector('span').classList.value;
45 | }
46 | })
47 |
48 | const themeSwitcher = document.querySelector('#dropdown-lightswitch')
49 | if (!themeSwitcher) {
50 | return
51 | }
52 |
53 | themeSwitcher.setAttribute('aria-label', activeLabel)
54 | themeSwitcher.querySelector('span').classList.value = activeIcon;
55 |
56 | if (focus) {
57 | themeSwitcher.focus()
58 | }
59 | }
60 |
61 | window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
62 | const storedTheme = getStoredTheme()
63 | if (storedTheme !== 'light' && storedTheme !== 'dark') {
64 | setTheme(getPreferredTheme())
65 | }
66 | })
67 |
68 | window.addEventListener('DOMContentLoaded', () => {
69 | showActiveTheme(getPreferredTheme())
70 |
71 | document
72 | .querySelectorAll('[data-bs-theme-value]')
73 | .forEach(toggle => {
74 | toggle.addEventListener('click', () => {
75 | const theme = toggle.getAttribute('data-bs-theme-value')
76 | setTheme(theme)
77 | setStoredTheme(theme)
78 | showActiveTheme(theme, true)
79 | })
80 | })
81 | })
82 | }
83 |
84 | setTheme(getPreferredTheme());
85 | bsSetupThemeToggle();
86 |
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/docs/link.svg:
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1 |
2 |
3 |
13 |
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/docs/news/index.html:
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1 |
2 | Changelog • vistributions
3 | Skip to contents
4 |
5 |
6 |
34 |
35 |
36 |
37 | Changelog
38 | Source: NEWS.md
39 |
40 |
41 |
44 |
48 |
49 | vistributions 0.1.2
CRAN release: 2021-05-20
50 | This is a patch release to fix CRAN note about lazy data.
51 |
52 |
56 |
60 |
62 |
63 |
64 |
73 |
74 |
75 |
76 |
77 |
78 |
79 |
80 |
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/docs/pkgdown.css:
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1 | /* Sticky footer */
2 |
3 | /**
4 | * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/
5 | * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css
6 | *
7 | * .Site -> body > .container
8 | * .Site-content -> body > .container .row
9 | * .footer -> footer
10 | *
11 | * Key idea seems to be to ensure that .container and __all its parents__
12 | * have height set to 100%
13 | *
14 | */
15 |
16 | html, body {
17 | height: 100%;
18 | }
19 |
20 | body {
21 | position: relative;
22 | }
23 |
24 | body > .container {
25 | display: flex;
26 | height: 100%;
27 | flex-direction: column;
28 | }
29 |
30 | body > .container .row {
31 | flex: 1 0 auto;
32 | }
33 |
34 | footer {
35 | margin-top: 45px;
36 | padding: 35px 0 36px;
37 | border-top: 1px solid #e5e5e5;
38 | color: #666;
39 | display: flex;
40 | flex-shrink: 0;
41 | }
42 | footer p {
43 | margin-bottom: 0;
44 | }
45 | footer div {
46 | flex: 1;
47 | }
48 | footer .pkgdown {
49 | text-align: right;
50 | }
51 | footer p {
52 | margin-bottom: 0;
53 | }
54 |
55 | img.icon {
56 | float: right;
57 | }
58 |
59 | /* Ensure in-page images don't run outside their container */
60 | .contents img {
61 | max-width: 100%;
62 | height: auto;
63 | }
64 |
65 | /* Fix bug in bootstrap (only seen in firefox) */
66 | summary {
67 | display: list-item;
68 | }
69 |
70 | /* Typographic tweaking ---------------------------------*/
71 |
72 | .contents .page-header {
73 | margin-top: calc(-60px + 1em);
74 | }
75 |
76 | dd {
77 | margin-left: 3em;
78 | }
79 |
80 | /* Section anchors ---------------------------------*/
81 |
82 | a.anchor {
83 | display: none;
84 | margin-left: 5px;
85 | width: 20px;
86 | height: 20px;
87 |
88 | background-image: url(./link.svg);
89 | background-repeat: no-repeat;
90 | background-size: 20px 20px;
91 | background-position: center center;
92 | }
93 |
94 | h1:hover .anchor,
95 | h2:hover .anchor,
96 | h3:hover .anchor,
97 | h4:hover .anchor,
98 | h5:hover .anchor,
99 | h6:hover .anchor {
100 | display: inline-block;
101 | }
102 |
103 | /* Fixes for fixed navbar --------------------------*/
104 |
105 | .contents h1, .contents h2, .contents h3, .contents h4 {
106 | padding-top: 60px;
107 | margin-top: -40px;
108 | }
109 |
110 | /* Navbar submenu --------------------------*/
111 |
112 | .dropdown-submenu {
113 | position: relative;
114 | }
115 |
116 | .dropdown-submenu>.dropdown-menu {
117 | top: 0;
118 | left: 100%;
119 | margin-top: -6px;
120 | margin-left: -1px;
121 | border-radius: 0 6px 6px 6px;
122 | }
123 |
124 | .dropdown-submenu:hover>.dropdown-menu {
125 | display: block;
126 | }
127 |
128 | .dropdown-submenu>a:after {
129 | display: block;
130 | content: " ";
131 | float: right;
132 | width: 0;
133 | height: 0;
134 | border-color: transparent;
135 | border-style: solid;
136 | border-width: 5px 0 5px 5px;
137 | border-left-color: #cccccc;
138 | margin-top: 5px;
139 | margin-right: -10px;
140 | }
141 |
142 | .dropdown-submenu:hover>a:after {
143 | border-left-color: #ffffff;
144 | }
145 |
146 | .dropdown-submenu.pull-left {
147 | float: none;
148 | }
149 |
150 | .dropdown-submenu.pull-left>.dropdown-menu {
151 | left: -100%;
152 | margin-left: 10px;
153 | border-radius: 6px 0 6px 6px;
154 | }
155 |
156 | /* Sidebar --------------------------*/
157 |
158 | #pkgdown-sidebar {
159 | margin-top: 30px;
160 | position: -webkit-sticky;
161 | position: sticky;
162 | top: 70px;
163 | }
164 |
165 | #pkgdown-sidebar h2 {
166 | font-size: 1.5em;
167 | margin-top: 1em;
168 | }
169 |
170 | #pkgdown-sidebar h2:first-child {
171 | margin-top: 0;
172 | }
173 |
174 | #pkgdown-sidebar .list-unstyled li {
175 | margin-bottom: 0.5em;
176 | }
177 |
178 | /* bootstrap-toc tweaks ------------------------------------------------------*/
179 |
180 | /* All levels of nav */
181 |
182 | nav[data-toggle='toc'] .nav > li > a {
183 | padding: 4px 20px 4px 6px;
184 | font-size: 1.5rem;
185 | font-weight: 400;
186 | color: inherit;
187 | }
188 |
189 | nav[data-toggle='toc'] .nav > li > a:hover,
190 | nav[data-toggle='toc'] .nav > li > a:focus {
191 | padding-left: 5px;
192 | color: inherit;
193 | border-left: 1px solid #878787;
194 | }
195 |
196 | nav[data-toggle='toc'] .nav > .active > a,
197 | nav[data-toggle='toc'] .nav > .active:hover > a,
198 | nav[data-toggle='toc'] .nav > .active:focus > a {
199 | padding-left: 5px;
200 | font-size: 1.5rem;
201 | font-weight: 400;
202 | color: inherit;
203 | border-left: 2px solid #878787;
204 | }
205 |
206 | /* Nav: second level (shown on .active) */
207 |
208 | nav[data-toggle='toc'] .nav .nav {
209 | display: none; /* Hide by default, but at >768px, show it */
210 | padding-bottom: 10px;
211 | }
212 |
213 | nav[data-toggle='toc'] .nav .nav > li > a {
214 | padding-left: 16px;
215 | font-size: 1.35rem;
216 | }
217 |
218 | nav[data-toggle='toc'] .nav .nav > li > a:hover,
219 | nav[data-toggle='toc'] .nav .nav > li > a:focus {
220 | padding-left: 15px;
221 | }
222 |
223 | nav[data-toggle='toc'] .nav .nav > .active > a,
224 | nav[data-toggle='toc'] .nav .nav > .active:hover > a,
225 | nav[data-toggle='toc'] .nav .nav > .active:focus > a {
226 | padding-left: 15px;
227 | font-weight: 500;
228 | font-size: 1.35rem;
229 | }
230 |
231 | /* orcid ------------------------------------------------------------------- */
232 |
233 | .orcid {
234 | font-size: 16px;
235 | color: #A6CE39;
236 | /* margins are required by official ORCID trademark and display guidelines */
237 | margin-left:4px;
238 | margin-right:4px;
239 | vertical-align: middle;
240 | }
241 |
242 | /* Reference index & topics ----------------------------------------------- */
243 |
244 | .ref-index th {font-weight: normal;}
245 |
246 | .ref-index td {vertical-align: top; min-width: 100px}
247 | .ref-index .icon {width: 40px;}
248 | .ref-index .alias {width: 40%;}
249 | .ref-index-icons .alias {width: calc(40% - 40px);}
250 | .ref-index .title {width: 60%;}
251 |
252 | .ref-arguments th {text-align: right; padding-right: 10px;}
253 | .ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px}
254 | .ref-arguments .name {width: 20%;}
255 | .ref-arguments .desc {width: 80%;}
256 |
257 | /* Nice scrolling for wide elements --------------------------------------- */
258 |
259 | table {
260 | display: block;
261 | overflow: auto;
262 | }
263 |
264 | /* Syntax highlighting ---------------------------------------------------- */
265 |
266 | pre, code, pre code {
267 | background-color: #f8f8f8;
268 | color: #333;
269 | }
270 | pre, pre code {
271 | white-space: pre-wrap;
272 | word-break: break-all;
273 | overflow-wrap: break-word;
274 | }
275 |
276 | pre {
277 | border: 1px solid #eee;
278 | }
279 |
280 | pre .img, pre .r-plt {
281 | margin: 5px 0;
282 | }
283 |
284 | pre .img img, pre .r-plt img {
285 | background-color: #fff;
286 | }
287 |
288 | code a, pre a {
289 | color: #375f84;
290 | }
291 |
292 | a.sourceLine:hover {
293 | text-decoration: none;
294 | }
295 |
296 | .fl {color: #1514b5;}
297 | .fu {color: #000000;} /* function */
298 | .ch,.st {color: #036a07;} /* string */
299 | .kw {color: #264D66;} /* keyword */
300 | .co {color: #888888;} /* comment */
301 |
302 | .error {font-weight: bolder;}
303 | .warning {font-weight: bolder;}
304 |
305 | /* Clipboard --------------------------*/
306 |
307 | .hasCopyButton {
308 | position: relative;
309 | }
310 |
311 | .btn-copy-ex {
312 | position: absolute;
313 | right: 0;
314 | top: 0;
315 | visibility: hidden;
316 | }
317 |
318 | .hasCopyButton:hover button.btn-copy-ex {
319 | visibility: visible;
320 | }
321 |
322 | /* headroom.js ------------------------ */
323 |
324 | .headroom {
325 | will-change: transform;
326 | transition: transform 200ms linear;
327 | }
328 | .headroom--pinned {
329 | transform: translateY(0%);
330 | }
331 | .headroom--unpinned {
332 | transform: translateY(-100%);
333 | }
334 |
335 | /* mark.js ----------------------------*/
336 |
337 | mark {
338 | background-color: rgba(255, 255, 51, 0.5);
339 | border-bottom: 2px solid rgba(255, 153, 51, 0.3);
340 | padding: 1px;
341 | }
342 |
343 | /* vertical spacing after htmlwidgets */
344 | .html-widget {
345 | margin-bottom: 10px;
346 | }
347 |
348 | /* fontawesome ------------------------ */
349 |
350 | .fab {
351 | font-family: "Font Awesome 5 Brands" !important;
352 | }
353 |
354 | /* don't display links in code chunks when printing */
355 | /* source: https://stackoverflow.com/a/10781533 */
356 | @media print {
357 | code a:link:after, code a:visited:after {
358 | content: "";
359 | }
360 | }
361 |
362 | /* Section anchors ---------------------------------
363 | Added in pandoc 2.11: https://github.com/jgm/pandoc-templates/commit/9904bf71
364 | */
365 |
366 | div.csl-bib-body { }
367 | div.csl-entry {
368 | clear: both;
369 | }
370 | .hanging-indent div.csl-entry {
371 | margin-left:2em;
372 | text-indent:-2em;
373 | }
374 | div.csl-left-margin {
375 | min-width:2em;
376 | float:left;
377 | }
378 | div.csl-right-inline {
379 | margin-left:2em;
380 | padding-left:1em;
381 | }
382 | div.csl-indent {
383 | margin-left: 2em;
384 | }
385 |
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/docs/pkgdown.js:
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1 | /* http://gregfranko.com/blog/jquery-best-practices/ */
2 | (function($) {
3 | $(function() {
4 |
5 | $('nav.navbar').headroom();
6 |
7 | Toc.init({
8 | $nav: $("#toc"),
9 | $scope: $("main h2, main h3, main h4, main h5, main h6")
10 | });
11 |
12 | if ($('#toc').length) {
13 | $('body').scrollspy({
14 | target: '#toc',
15 | offset: $("nav.navbar").outerHeight() + 1
16 | });
17 | }
18 |
19 | // Activate popovers
20 | $('[data-bs-toggle="popover"]').popover({
21 | container: 'body',
22 | html: true,
23 | trigger: 'focus',
24 | placement: "top",
25 | sanitize: false,
26 | });
27 |
28 | $('[data-bs-toggle="tooltip"]').tooltip();
29 |
30 | /* Clipboard --------------------------*/
31 |
32 | function changeTooltipMessage(element, msg) {
33 | var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
34 | element.setAttribute('data-bs-original-title', msg);
35 | $(element).tooltip('show');
36 | element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
37 | }
38 |
39 | if(ClipboardJS.isSupported()) {
40 | $(document).ready(function() {
41 | var copyButton = "";
42 |
43 | $("div.sourceCode").addClass("hasCopyButton");
44 |
45 | // Insert copy buttons:
46 | $(copyButton).prependTo(".hasCopyButton");
47 |
48 | // Initialize tooltips:
49 | $('.btn-copy-ex').tooltip({container: 'body'});
50 |
51 | // Initialize clipboard:
52 | var clipboard = new ClipboardJS('[data-clipboard-copy]', {
53 | text: function(trigger) {
54 | return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, "");
55 | }
56 | });
57 |
58 | clipboard.on('success', function(e) {
59 | changeTooltipMessage(e.trigger, 'Copied!');
60 | e.clearSelection();
61 | });
62 |
63 | clipboard.on('error', function(e) {
64 | changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
65 | });
66 |
67 | });
68 | }
69 |
70 | /* Search marking --------------------------*/
71 | var url = new URL(window.location.href);
72 | var toMark = url.searchParams.get("q");
73 | var mark = new Mark("main#main");
74 | if (toMark) {
75 | mark.mark(toMark, {
76 | accuracy: {
77 | value: "complementary",
78 | limiters: [",", ".", ":", "/"],
79 | }
80 | });
81 | }
82 |
83 | /* Search --------------------------*/
84 | /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */
85 | // Initialise search index on focus
86 | var fuse;
87 | $("#search-input").focus(async function(e) {
88 | if (fuse) {
89 | return;
90 | }
91 |
92 | $(e.target).addClass("loading");
93 | var response = await fetch($("#search-input").data("search-index"));
94 | var data = await response.json();
95 |
96 | var options = {
97 | keys: ["what", "text", "code"],
98 | ignoreLocation: true,
99 | threshold: 0.1,
100 | includeMatches: true,
101 | includeScore: true,
102 | };
103 | fuse = new Fuse(data, options);
104 |
105 | $(e.target).removeClass("loading");
106 | });
107 |
108 | // Use algolia autocomplete
109 | var options = {
110 | autoselect: true,
111 | debug: true,
112 | hint: false,
113 | minLength: 2,
114 | };
115 | var q;
116 | async function searchFuse(query, callback) {
117 | await fuse;
118 |
119 | var items;
120 | if (!fuse) {
121 | items = [];
122 | } else {
123 | q = query;
124 | var results = fuse.search(query, { limit: 20 });
125 | items = results
126 | .filter((x) => x.score <= 0.75)
127 | .map((x) => x.item);
128 | if (items.length === 0) {
129 | items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}];
130 | }
131 | }
132 | callback(items);
133 | }
134 | $("#search-input").autocomplete(options, [
135 | {
136 | name: "content",
137 | source: searchFuse,
138 | templates: {
139 | suggestion: (s) => {
140 | if (s.title == s.what) {
141 | return `${s.dir} > ${s.title}`;
142 | } else if (s.previous_headings == "") {
143 | return `${s.dir} > ${s.title} > ${s.what}`;
144 | } else {
145 | return `${s.dir} > ${s.title} > ${s.previous_headings} > ${s.what}`;
146 | }
147 | },
148 | },
149 | },
150 | ]).on('autocomplete:selected', function(event, s) {
151 | window.location.href = s.path + "?q=" + q + "#" + s.id;
152 | });
153 | });
154 | })(window.jQuery || window.$)
155 |
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1 | pandoc: '3.2'
2 | pkgdown: 2.1.0
3 | pkgdown_sha: ~
4 | articles:
5 | introduction-to-vistributions: introduction-to-vistributions.html
6 | last_built: 2024-11-07T11:30Z
7 | urls:
8 | reference: https://vistributions.rsquaredacademy.com/reference
9 | article: https://vistributions.rsquaredacademy.com/articles
10 |
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1 |
2 | Package index • vistributions
3 | Skip to contents
4 |
5 |
6 |
34 |
35 |
36 |
37 | Package index
38 |
39 |
40 |
47 |
48 |
49 |
50 |
51 | -
52 |
53 |
vdist_launch_app()
54 |
55 |
56 | - Launch shiny app
57 |
64 |
65 |
66 |
67 |
68 | -
69 |
70 |
vdist_binom_plot() vdist_binom_prob() vdist_binom_perc()
71 |
72 |
73 | - Visualize binomial distribution
74 |
81 |
82 |
83 |
84 |
85 | -
86 |
87 |
vdist_chisquare_plot() vdist_chisquare_perc() vdist_chisquare_prob()
88 |
89 |
90 | - Visualize chi square distribution
91 |
98 |
99 |
100 |
101 |
102 | -
103 |
104 |
vdist_normal_plot() vdist_normal_perc() vdist_normal_prob()
105 |
106 |
107 | - Visualize normal distribution
108 |
115 |
116 |
117 |
118 |
119 | -
120 |
121 |
vdist_f_plot() vdist_f_perc() vdist_f_prob()
122 |
123 |
124 | - Visualize f distribution
125 |
132 |
133 |
134 |
135 |
136 | -
137 |
138 |
vdist_t_plot() vdist_t_perc() vdist_t_prob()
139 |
140 |
141 | - Visualize t distribution
142 |
143 |
145 |
146 |
147 |
156 |
157 |
158 |
159 |
160 |
161 |
162 |
163 |
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
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43 | Launches shiny app for visualizing distributions.
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9 | Visualize normal distribution — vdist_norm_plot • vistributions
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118 | Visualize how changes in mean and standard deviation affect the
119 | shape of the normal distribution. Compute & visualize quantiles out of given
120 | probability and probability from a given quantile.
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124 | vdist_norm_plot(mean = 0, sd = 1)
125 |
126 | Arguments
127 |
128 |
130 | mean
131 | Mean of the normal distribution.
133 |
134 | sd
135 | Standard deviation of the normal distribution.
137 |
138 |
139 | See also
140 |
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144 | Examples
145 | # visualize normal distribution
146 | vdist_norm_plot()
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2 | vistributions package — vistributions • vistributions
3 | Skip to contents
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42 |
43 | Visualize probability distributions.
44 |
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55 | Author
56 | Maintainer: Aravind Hebbali hebbali.aravind@gmail.com
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-binomial.R
3 | \name{vdist_binom_plot}
4 | \alias{vdist_binom_plot}
5 | \alias{vdist_binom_prob}
6 | \alias{vdist_binom_perc}
7 | \title{Visualize binomial distribution}
8 | \usage{
9 | vdist_binom_plot(n = 10, p = 0.3, print_plot = TRUE)
10 |
11 | vdist_binom_prob(
12 | n = 10,
13 | p = 0.3,
14 | s = 4,
15 | type = c("lower", "upper", "exact", "interval"),
16 | print_plot = TRUE
17 | )
18 |
19 | vdist_binom_perc(
20 | n = 10,
21 | p = 0.5,
22 | tp = 0.05,
23 | type = c("lower", "upper"),
24 | print_plot = TRUE
25 | )
26 | }
27 | \arguments{
28 | \item{n}{Number of trials.}
29 |
30 | \item{p}{Aggregate probability.}
31 |
32 | \item{print_plot}{logical; if \code{TRUE}, prints the plot else returns a plot object.}
33 |
34 | \item{s}{Number of success.}
35 |
36 | \item{type}{Lower/upper/exact/interval.}
37 |
38 | \item{tp}{Probability of success in a trial.}
39 | }
40 | \description{
41 | Visualize how changes in number of trials and the probability of
42 | success affect the shape of the binomial distribution. Compute & visualize
43 | probability from a given quantile and quantiles out of given probability.
44 | }
45 | \examples{
46 | # visualize binomial distribution
47 | vdist_binom_plot(10, 0.3)
48 |
49 | # visualize probability from a given quantile
50 | vdist_binom_prob(10, 0.3, 4, type = 'exact')
51 | vdist_binom_prob(10, 0.3, 4, type = 'lower')
52 | vdist_binom_prob(10, 0.3, 4, type = 'upper')
53 | vdist_binom_prob(10, 0.3, c(4, 6), type = 'interval')
54 |
55 |
56 | # visualize quantiles out of given probability
57 | vdist_binom_perc(10, 0.5, 0.05)
58 | vdist_binom_perc(10, 0.5, 0.05, "upper")
59 |
60 | }
61 | \seealso{
62 | \code{\link[stats]{Binomial}}
63 | }
64 |
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/man/vdist_chisquare_plot.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-chisquare.R
3 | \name{vdist_chisquare_plot}
4 | \alias{vdist_chisquare_plot}
5 | \alias{vdist_chisquare_perc}
6 | \alias{vdist_chisquare_prob}
7 | \title{Visualize chi square distribution}
8 | \usage{
9 | vdist_chisquare_plot(
10 | df = 3,
11 | normal = FALSE,
12 | xaxis_range = 25,
13 | print_plot = TRUE
14 | )
15 |
16 | vdist_chisquare_perc(
17 | probs = 0.95,
18 | df = 3,
19 | type = c("lower", "upper"),
20 | print_plot = TRUE
21 | )
22 |
23 | vdist_chisquare_prob(
24 | perc = 13,
25 | df = 11,
26 | type = c("lower", "upper"),
27 | print_plot = TRUE
28 | )
29 | }
30 | \arguments{
31 | \item{df}{Degrees of freedom.}
32 |
33 | \item{normal}{If \code{TRUE}, normal curve with same \code{mean} and
34 | \code{sd} as the chi square distribution is drawn.}
35 |
36 | \item{xaxis_range}{The upper range of the X axis.}
37 |
38 | \item{print_plot}{logical; if \code{TRUE}, prints the plot else returns a plot object.}
39 |
40 | \item{probs}{Probability value.}
41 |
42 | \item{type}{Lower tail or upper tail.}
43 |
44 | \item{perc}{Quantile value.}
45 | }
46 | \description{
47 | Visualize how changes in degrees of freedom affect the shape of
48 | the chi square distribution. Compute & visualize quantiles out of given
49 | probability and probability from a given quantile.
50 | }
51 | \examples{
52 | # visualize chi square distribution
53 | vdist_chisquare_plot()
54 | vdist_chisquare_plot(df = 5)
55 | vdist_chisquare_plot(df = 5, normal = TRUE)
56 |
57 | # visualize quantiles out of given probability
58 | vdist_chisquare_perc(0.165, 8, 'lower')
59 | vdist_chisquare_perc(0.22, 13, 'upper')
60 |
61 | # visualize probability from a given quantile.
62 | vdist_chisquare_prob(13.58, 11, 'lower')
63 | vdist_chisquare_prob(15.72, 13, 'upper')
64 |
65 | }
66 | \seealso{
67 | \code{\link[stats]{Chisquare}}
68 | }
69 |
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/man/vdist_f_plot.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-f.R
3 | \name{vdist_f_plot}
4 | \alias{vdist_f_plot}
5 | \alias{vdist_f_perc}
6 | \alias{vdist_f_prob}
7 | \title{Visualize f distribution}
8 | \usage{
9 | vdist_f_plot(num_df = 4, den_df = 30, normal = FALSE, print_plot = TRUE)
10 |
11 | vdist_f_perc(
12 | probs = 0.95,
13 | num_df = 3,
14 | den_df = 30,
15 | type = c("lower", "upper"),
16 | print_plot = TRUE
17 | )
18 |
19 | vdist_f_prob(
20 | perc = 2.35,
21 | num_df = 5,
22 | den_df = 32,
23 | type = c("lower", "upper"),
24 | print_plot = TRUE
25 | )
26 | }
27 | \arguments{
28 | \item{num_df}{Degrees of freedom associated with the numerator of f statistic.}
29 |
30 | \item{den_df}{Degrees of freedom associated with the denominator of f statistic.}
31 |
32 | \item{normal}{If \code{TRUE}, normal curve with same \code{mean} and
33 | \code{sd} as the F distribution is drawn.}
34 |
35 | \item{print_plot}{logical; if \code{TRUE}, prints the plot else returns a plot object.}
36 |
37 | \item{probs}{Probability value.}
38 |
39 | \item{type}{Lower tail or upper tail.}
40 |
41 | \item{perc}{Quantile value.}
42 | }
43 | \description{
44 | Visualize how changes in degrees of freedom affect the
45 | shape of the F distribution. Compute & visualize quantiles out of given
46 | probability and probability from a given quantile.
47 | }
48 | \examples{
49 | # visualize F distribution
50 | vdist_f_plot()
51 | vdist_f_plot(6, 10, normal = TRUE)
52 |
53 | # visualize probability from a given quantile
54 | vdist_f_perc(0.95, 3, 30, 'lower')
55 | vdist_f_perc(0.125, 9, 35, 'upper')
56 |
57 | # visualize quantiles out of given probability
58 | vdist_f_prob(2.35, 5, 32)
59 | vdist_f_prob(1.5222, 9, 35, type = "upper")
60 |
61 | }
62 | \seealso{
63 | \code{\link[stats]{FDist}}
64 | }
65 |
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-app.R
3 | \name{vdist_launch_app}
4 | \alias{vdist_launch_app}
5 | \title{Launch shiny app}
6 | \usage{
7 | vdist_launch_app()
8 | }
9 | \description{
10 | Launches shiny app for visualizing distributions.
11 | }
12 | \examples{
13 | \dontrun{
14 | vdist_launch_app ()
15 | }
16 | }
17 |
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/man/vdist_normal_plot.Rd:
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1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-normal.R
3 | \name{vdist_normal_plot}
4 | \alias{vdist_normal_plot}
5 | \alias{vdist_normal_perc}
6 | \alias{vdist_normal_prob}
7 | \title{Visualize normal distribution}
8 | \usage{
9 | vdist_normal_plot(mean = 0, sd = 1, print_plot = TRUE)
10 |
11 | vdist_normal_perc(
12 | probs = 0.95,
13 | mean = 0,
14 | sd = 1,
15 | type = c("lower", "upper", "both"),
16 | print_plot = TRUE
17 | )
18 |
19 | vdist_normal_prob(
20 | perc = 3,
21 | mean = 0,
22 | sd = 1,
23 | type = c("lower", "upper", "both"),
24 | print_plot = TRUE
25 | )
26 | }
27 | \arguments{
28 | \item{mean}{Mean of the normal distribution.}
29 |
30 | \item{sd}{Standard deviation of the normal distribution.}
31 |
32 | \item{print_plot}{logical; if \code{TRUE}, prints the plot else returns a plot object.}
33 |
34 | \item{probs}{Probability value.}
35 |
36 | \item{type}{Lower tail, upper tail or both.}
37 |
38 | \item{perc}{Quantile value.}
39 | }
40 | \description{
41 | Visualize how changes in mean and standard deviation affect the
42 | shape of the normal distribution. Compute & visualize quantiles out of given
43 | probability and probability from a given quantile.
44 | }
45 | \examples{
46 | # visualize normal distribution
47 | vdist_normal_plot()
48 | vdist_normal_plot(mean = 2, sd = 0.6)
49 |
50 | # visualize quantiles out of given probability
51 | vdist_normal_perc(0.95, mean = 2, sd = 1.36)
52 | vdist_normal_perc(0.3, mean = 2, sd = 1.36, type = 'upper')
53 | vdist_normal_perc(0.95, mean = 2, sd = 1.36, type = 'both')
54 |
55 | # visualize probability from a given quantile
56 | vdist_normal_prob(3.78, mean = 2, sd = 1.36)
57 | vdist_normal_prob(3.43, mean = 2, sd = 1.36, type = 'upper')
58 | vdist_normal_prob(c(-1.74, 1.83), type = 'both')
59 |
60 | }
61 | \seealso{
62 | \code{\link[stats]{Normal}}
63 | }
64 |
--------------------------------------------------------------------------------
/man/vdist_t.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vdist-t.R
3 | \name{vdist_t}
4 | \alias{vdist_t}
5 | \alias{vdist_t_plot}
6 | \alias{vdist_t_perc}
7 | \alias{vdist_t_prob}
8 | \title{Visualize t distribution}
9 | \usage{
10 | vdist_t_plot(df = 3, print_plot = TRUE)
11 |
12 | vdist_t_perc(
13 | probs = 0.95,
14 | df = 4,
15 | type = c("lower", "upper", "both"),
16 | print_plot = TRUE
17 | )
18 |
19 | vdist_t_prob(
20 | perc = 1.6,
21 | df = 7,
22 | type = c("lower", "upper", "interval", "both"),
23 | print_plot = TRUE
24 | )
25 | }
26 | \arguments{
27 | \item{df}{Degrees of freedom.}
28 |
29 | \item{print_plot}{logical; if \code{TRUE}, prints the plot else returns a plot object.}
30 |
31 | \item{probs}{Probability value.}
32 |
33 | \item{type}{Lower tail, upper tail, interval or both.}
34 |
35 | \item{perc}{Quantile value.}
36 | }
37 | \description{
38 | Visualize how degrees of freedom affect the shape of t
39 | distribution, visualize quantiles out of given probability and
40 | probability from a given quantile.
41 | }
42 | \examples{
43 | # visualize t distribution
44 | vdist_t_plot()
45 | vdist_t_plot(6)
46 | vdist_t_plot(df = 8)
47 |
48 | # visualize quantiles out of given probability
49 | vdist_t_perc(probs = 0.95, df = 4, type = 'lower')
50 | vdist_t_perc(probs = 0.35, df = 4, type = 'upper')
51 | vdist_t_perc(probs = 0.69, df = 7, type = 'both')
52 |
53 | # visualize probability from a given quantile
54 | vdist_t_prob(2.045, 7, 'lower')
55 | vdist_t_prob(0.945, 7, 'upper')
56 | vdist_t_prob(1.445, 7, 'interval')
57 | vdist_t_prob(1.6, 7, 'both')
58 |
59 | }
60 | \seealso{
61 | \code{\link[stats]{TDist}}
62 | }
63 |
--------------------------------------------------------------------------------
/man/vistributions.Rd:
--------------------------------------------------------------------------------
1 | % Generated by roxygen2: do not edit by hand
2 | % Please edit documentation in R/vistributions.R
3 | \docType{package}
4 | \name{vistributions}
5 | \alias{vistributions}
6 | \alias{vistributions-package}
7 | \title{\code{vistributions} package}
8 | \description{
9 | Visualize probability distributions.
10 | }
11 | \seealso{
12 | Useful links:
13 | \itemize{
14 | \item \url{https://github.com/rsquaredacademy/vistributions}
15 | \item \url{https://vistributions.rsquaredacademy.com}
16 | \item Report bugs at \url{https://github.com/rsquaredacademy/vistributions/issues}
17 | }
18 |
19 | }
20 | \author{
21 | \strong{Maintainer}: Aravind Hebbali \email{hebbali.aravind@gmail.com}
22 |
23 | }
24 | \keyword{internal}
25 |
--------------------------------------------------------------------------------
/tests/figs/deps.txt:
--------------------------------------------------------------------------------
1 | - vdiffr-svg-engine: 1.0
2 | - vdiffr: 0.3.1
3 | - freetypeharfbuzz: 0.2.5
4 |
--------------------------------------------------------------------------------
/tests/testthat.R:
--------------------------------------------------------------------------------
1 | library(testthat)
2 | library(vistributions)
3 |
4 | test_check("vistributions")
5 |
--------------------------------------------------------------------------------
/tests/testthat/test-binomial.R:
--------------------------------------------------------------------------------
1 | context("test-binomial")
2 |
3 | test_that("vdist_binom_plot throws the appropriate errors", {
4 | expect_error(vdist_binom_plot(10, -0.5), "p must be between 0 and 1 only.")
5 | expect_error(vdist_binom_plot(10, 1.5), "p must be between 0 and 1 only.")
6 | expect_error(vdist_binom_plot("10", 0.5), "n must be numeric.")
7 | expect_error(vdist_binom_plot(as.factor(10), 0.5), "n must be numeric.")
8 | expect_error(vdist_binom_plot(10, "0.5"), "p must be numeric.")
9 | expect_error(vdist_binom_plot(10, as.factor(0.5)), "p must be numeric.")
10 | })
11 |
12 | test_that("vdist_binom_prob throws the appropriate errors", {
13 | expect_error(vdist_binom_prob(10, -0.5, 4), "p must be between 0 and 1 only.")
14 | expect_error(vdist_binom_prob(10, 1.5, 4), "p must be between 0 and 1 only.")
15 | expect_error(vdist_binom_prob(10, "0.5", 4), "p must be numeric.")
16 | expect_error(vdist_binom_prob("10", 0.5, 4), "n must be numeric.")
17 | expect_error(vdist_binom_prob(as.factor(10), 0.5, 4), "n must be numeric.")
18 | expect_error(vdist_binom_prob(10, 0.5, "4"), "s must be numeric.")
19 | expect_error(vdist_binom_prob(10, 0.5, as.factor(4)), "s must be numeric.")
20 | expect_error(vdist_binom_prob(10, 0.3, 4, type = 'interval'), "Please specify an interval for s.")
21 | expect_error(vdist_binom_prob(3, 0.3, 4), "s must be less than or equal to n.")
22 | })
23 |
24 | test_that("vdist_binom_perc throws the appropriate errors", {
25 | expect_error(vdist_binom_perc(10, -0.5, 0.05), "p must be between 0 and 1 only.")
26 | expect_error(vdist_binom_perc(10, 1.5, 0.05), "p must be between 0 and 1 only.")
27 | expect_error(vdist_binom_perc(10, 0.5, -0.05), "tp must be between 0 and 0.5 only.")
28 | expect_error(vdist_binom_perc(10, 0.5, 0.51), "tp must be between 0 and 0.5 only.")
29 | expect_error(vdist_binom_perc("10", 0.5, 0.05), "n must be numeric.")
30 | expect_error(vdist_binom_perc(as.factor(10), 0.5, 0.05), "n must be numeric.")
31 | expect_error(vdist_binom_perc(10, "0.5", 0.05), "p must be numeric.")
32 | expect_error(vdist_binom_perc(10, as.factor(0.5), 0.05), "p must be numeric.")
33 | expect_error(vdist_binom_perc(10, 0.5, "0.05"), "tp must be numeric.")
34 | expect_error(vdist_binom_perc(10, 0.5, as.factor(0.05)), "tp must be numeric.")
35 | })
36 |
37 |
38 |
39 |
40 |
41 |
--------------------------------------------------------------------------------
/tests/testthat/test-chisquare.R:
--------------------------------------------------------------------------------
1 | context("test-chisquare")
2 |
3 | test_that("vdist_chi_plot returns appropriate error messages", {
4 | expect_error(vdist_chisquare_plot("3"), "df must be numeric.")
5 |
6 | expect_error(vdist_chisquare_plot(as.factor(3)), "df must be numeric.")
7 |
8 | expect_error(vdist_chisquare_plot(normal = 3), "normal must be a logical value.")
9 |
10 | expect_error(vdist_chisquare_plot(normal = "3"), "normal must be a logical value.")
11 | })
12 |
13 | test_that("vdist_chisquare_perc returns appropriate error messages", {
14 | expect_error(vdist_chisquare_perc("0.95"), "probs must be numeric.")
15 |
16 | expect_error(vdist_chisquare_perc(as.factor(1)), "probs must be numeric.")
17 |
18 | expect_error(vdist_chisquare_perc(df = "3"), "df must be numeric.")
19 |
20 | expect_error(vdist_chisquare_perc(df = as.factor(3)), "df must be numeric.")
21 | })
22 |
23 | test_that("vdist_chisquare_prob returns appropriate error messages", {
24 | expect_error(vdist_chisquare_prob("0.95", df = 3), "perc must be numeric.")
25 |
26 | expect_error(vdist_chisquare_prob(as.factor(1), df = 3), "perc must be numeric.")
27 |
28 | expect_error(vdist_chisquare_prob(df = "3"), "df must be numeric.")
29 |
30 | expect_error(vdist_chisquare_prob(df = as.factor(3)), "df must be numeric.")
31 | })
32 |
--------------------------------------------------------------------------------
/tests/testthat/test-f.R:
--------------------------------------------------------------------------------
1 | context("test-f")
2 |
3 | test_that("vdist_f_plot returns appropriate error messages", {
4 | expect_error(vdist_f_plot("3"), "num_df must be numeric.")
5 |
6 | expect_error(vdist_f_plot(as.factor(3)), "num_df must be numeric.")
7 |
8 | expect_error(vdist_f_plot(den_df = "3"), "den_df must be numeric.")
9 |
10 | expect_error(vdist_f_plot(den_df = as.factor(3)), "den_df must be numeric.")
11 |
12 | expect_error(vdist_f_plot(normal = 3), "normal must be a logical value.")
13 |
14 | expect_error(vdist_f_plot(normal = "3"), "normal must be a logical value.")
15 | })
16 |
17 | test_that("vdist_f_perc returns appropriate error messages", {
18 | expect_error(vdist_f_perc("0.95"), "probs must be numeric.")
19 |
20 | expect_error(vdist_f_perc(as.factor(1)), "probs must be numeric.")
21 |
22 | expect_error(vdist_f_perc(num_df = "3"), "num_df must be numeric.")
23 |
24 | expect_error(vdist_f_perc(num_df = as.factor(3)), "num_df must be numeric.")
25 |
26 | expect_error(vdist_f_perc(den_df = "3"), "den_df must be numeric.")
27 |
28 | expect_error(vdist_f_perc(den_df = as.factor(3)), "den_df must be numeric.")
29 |
30 | expect_error(vdist_f_perc(1.02), "probs must be between 0 and 1 only.")
31 |
32 | })
33 |
34 | test_that("vdist_f_prob returns appropriate error messages", {
35 | expect_error(vdist_f_prob("0.95", 3, 30), "perc must be numeric.")
36 |
37 | expect_error(vdist_f_prob(as.factor(1), 3, 30), "perc must be numeric.")
38 |
39 | expect_error(vdist_f_prob(0.95, num_df = "3", den_df = 30), "num_df must be numeric.")
40 |
41 | expect_error(vdist_f_prob(0.95, num_df = as.factor(3), den_df = 30), "num_df must be numeric.")
42 |
43 | expect_error(vdist_f_prob(0.95, 3, den_df = "3"), "den_df must be numeric.")
44 |
45 | expect_error(vdist_f_prob(0.95, 3, den_df = as.factor(3)), "den_df must be numeric.")
46 | })
47 |
--------------------------------------------------------------------------------
/tests/testthat/test-normal.R:
--------------------------------------------------------------------------------
1 | context("test-normal")
2 |
3 | test_that("vdist_normal_plot throws the appropriate errors", {
4 | expect_error(vdist_normal_plot("10", 0.5), "mean must be numeric.")
5 | expect_error(vdist_normal_plot(as.factor(10), 0.5), "mean must be numeric.")
6 | expect_error(vdist_normal_plot(10, "0.5"), "sd must be numeric.")
7 | expect_error(vdist_normal_plot(10, as.factor(0.5)), "sd must be numeric.")
8 | expect_error(vdist_normal_plot(10, -2), "sd must be a positive value.")
9 | })
10 |
11 | test_that("vdist_normal_prob throws the appropriate errors", {
12 | expect_error(vdist_normal_prob("0.95"), "perc must be numeric.")
13 | expect_error(vdist_normal_prob(TRUE), "perc must be numeric.")
14 | expect_error(vdist_normal_prob(0.95, "10", 0.5), "mean must be numeric.")
15 | expect_error(vdist_normal_prob(0.95, as.factor(10), 0.5), "mean must be numeric.")
16 | expect_error(vdist_normal_prob(0.95, 10, "0.5"), "sd must be numeric.")
17 | expect_error(vdist_normal_prob(0.95, 10, as.factor(0.5)), "sd must be numeric.")
18 | expect_error(vdist_normal_prob(0.95, 10, -2), "sd must be a positive value.")
19 | expect_error(vdist_normal_prob(c(-1.74, 1.83, 0.6)), "Please do not specify more than 2 percentile values.")
20 | expect_error(vdist_normal_prob(c(-1.74), type = 'both'), "Specify two percentile values.")
21 | })
22 |
23 | test_that("vdist_normal_perc throws the appropriate errors", {
24 | expect_error(vdist_normal_perc(1.5), "probs must be between 0 and 1 only.")
25 | expect_error(vdist_normal_perc("0.95"), "probs must be numeric.")
26 | expect_error(vdist_normal_perc(TRUE), "probs must be numeric.")
27 | expect_error(vdist_normal_perc(0.95, "10", 0.5), "mean must be numeric.")
28 | expect_error(vdist_normal_perc(0.95, as.factor(10), 0.5), "mean must be numeric.")
29 | expect_error(vdist_normal_perc(0.95, 10, "0.5"), "sd must be numeric.")
30 | expect_error(vdist_normal_perc(0.95, 10, as.factor(0.5)), "sd must be numeric.")
31 | expect_error(vdist_normal_perc(0.95, 10, -2), "sd must be a positive value.")
32 | })
33 |
34 |
35 |
36 |
37 |
--------------------------------------------------------------------------------
/tests/testthat/test-t.R:
--------------------------------------------------------------------------------
1 | context("test-t")
2 |
3 | test_that("vdist_t_plot throws the appropriate errors", {
4 | expect_error(vdist_t_plot("10"), "df must be numeric.")
5 | expect_error(vdist_t_plot(TRUE), "df must be numeric.")
6 | })
7 |
8 | test_that("vdist_t_prob throws the appropriate errors", {
9 | expect_error(vdist_t_prob("0.95", df = 10), "perc must be numeric.")
10 | expect_error(vdist_t_prob(TRUE, df = 10), "perc must be numeric.")
11 | expect_error(vdist_t_prob(0.95, "10"), "df must be numeric.")
12 | expect_error(vdist_t_prob(0.95, TRUE), "df must be numeric.")
13 | })
14 |
15 | test_that("vdist_t_perc throws the appropriate errors", {
16 | expect_error(vdist_t_perc(1.5), "probs must be between 0 and 1 only.")
17 | expect_error(vdist_t_perc("0.95"), "probs must be numeric.")
18 | expect_error(vdist_t_perc(TRUE), "probs must be numeric.")
19 | expect_error(vdist_t_perc(0.95, "10"), "df must be numeric.")
20 | expect_error(vdist_t_perc(0.95, TRUE), "df must be numeric.")
21 | })
22 |
23 |
24 |
25 |
26 |
--------------------------------------------------------------------------------
/tests/testthat/test-visual.R:
--------------------------------------------------------------------------------
1 | context("test-visual")
2 |
3 | test_that("output from vdist_binom_plot is as expected", {
4 | skip_on_cran()
5 | p <- vdist_binom_plot(10, 0.3)
6 | vdiffr::expect_doppelganger("binomial plot", p)
7 | })
8 |
9 | test_that("output from vdist_binom_prob is as expected", {
10 | skip_on_cran()
11 |
12 | p1 <- vdist_binom_prob(10, 0.3, 4, type = 'exact')
13 | vdiffr::expect_doppelganger("binomial prob exact", p1)
14 |
15 | p2 <- vdist_binom_prob(10, 0.3, 4, type = 'lower')
16 | vdiffr::expect_doppelganger("binomial prob lower", p2)
17 |
18 | p3 <- vdist_binom_prob(10, 0.3, 4, type = 'upper')
19 | vdiffr::expect_doppelganger("binomial prob upper", p3)
20 |
21 | p4 <- vdist_binom_prob(10, 0.3, c(4, 6), type = 'interval')
22 | vdiffr::expect_doppelganger("binomial prob interval", p4)
23 | })
24 |
25 | test_that("output from vdist_binom_perc is as expected", {
26 | skip_on_cran()
27 |
28 | p5 <- vdist_binom_perc(10, 0.5, 0.05)
29 | vdiffr::expect_doppelganger("binomial perc lower", p5)
30 |
31 | p6 <- vdist_binom_perc(10, 0.5, 0.05, "upper")
32 | vdiffr::expect_doppelganger("binomial perc upper", p6)
33 | })
34 |
35 | test_that("output from vdist_chisquare_plot is as expected", {
36 | skip_on_cran()
37 |
38 | p7 <- vdist_chisquare_plot()
39 | vdiffr::expect_doppelganger("chisquare plot 1", p7)
40 |
41 | p7a <- vdist_chisquare_plot(xaxis_range = 35)
42 | vdiffr::expect_doppelganger("chisquare plot 1a", p7a)
43 |
44 | p8 <- vdist_chisquare_plot(df = 5)
45 | vdiffr::expect_doppelganger("chisquare plot 2", p8)
46 |
47 | p9 <- vdist_chisquare_plot(df = 5, normal = TRUE)
48 | vdiffr::expect_doppelganger("chisquare plot 3", p9)
49 | })
50 |
51 | test_that("output from vdist_chisquare_perc is as expected", {
52 | skip_on_cran()
53 |
54 | p10 <- vdist_chisquare_perc(0.165, 8, 'lower')
55 | vdiffr::expect_doppelganger("chisquare perc lower", p10)
56 |
57 | p11 <- vdist_chisquare_perc(0.22, 13, 'upper')
58 | vdiffr::expect_doppelganger("chisquare perc upper", p11)
59 | })
60 |
61 | test_that("output from vdist_chisquare_prob is as expected", {
62 | skip_on_cran()
63 |
64 | p12 <- vdist_chisquare_prob(13.58, 11, 'lower')
65 | vdiffr::expect_doppelganger("chisquare prob lower", p12)
66 |
67 | p13 <- vdist_chisquare_prob(15.72, 13, 'upper')
68 | vdiffr::expect_doppelganger("chisquare prob upper", p13)
69 | })
70 |
71 | test_that("output from vdist_f_plot is as expected", {
72 | skip_on_cran()
73 |
74 | p14 <- vdist_f_plot()
75 | vdiffr::expect_doppelganger("f plot 1", p14)
76 |
77 | p15 <- vdist_f_plot(6, 10, normal = TRUE)
78 | vdiffr::expect_doppelganger("f plot 2", p15)
79 | })
80 |
81 | test_that("output from vdist_f_perc is as expected", {
82 | skip_on_cran()
83 |
84 | p16 <- vdist_f_perc(0.95, 3, 30, 'lower')
85 | vdiffr::expect_doppelganger("f perc lower", p16)
86 |
87 | p17 <- vdist_f_perc(0.125, 9, 35, 'upper')
88 | vdiffr::expect_doppelganger("f perc upper", p17)
89 | })
90 |
91 | test_that("output from vdist_f_prob is as expected", {
92 | skip_on_cran()
93 |
94 | p18 <- vdist_f_prob(2.35, 5, 32)
95 | vdiffr::expect_doppelganger("f prob lower", p18)
96 |
97 | p19 <- vdist_f_prob(1.5222, 9, 35, type = "upper")
98 | vdiffr::expect_doppelganger("f prob upper", p19)
99 | })
100 |
101 | test_that("output from vdist_normal_plot is as expected", {
102 | skip_on_cran()
103 |
104 | p20 <- vdist_normal_plot()
105 | vdiffr::expect_doppelganger("normal plot 1", p20)
106 |
107 | p21 <- vdist_normal_plot(mean = 2, sd = 0.6)
108 | vdiffr::expect_doppelganger("normal plot 2", p21)
109 | })
110 |
111 | test_that("output from vdist_normal_perc is as expected", {
112 | skip_on_cran()
113 |
114 | p22 <- vdist_normal_perc(0.95, mean = 2, sd = 1.36)
115 | vdiffr::expect_doppelganger("normal perc lower", p22)
116 |
117 | p23 <- vdist_normal_perc(0.95, mean = 2, sd = 1.36, type = 'both')
118 | vdiffr::expect_doppelganger("normal perc both", p23)
119 |
120 | p24 <- vdist_normal_perc(0.3, mean = 2, sd = 1.36, type = 'upper')
121 | vdiffr::expect_doppelganger("normal perc upper", p24)
122 |
123 | })
124 |
125 | test_that("output from vdist_normal_prob is as expected", {
126 | skip_on_cran()
127 |
128 | p25 <- vdist_normal_prob(3.78, mean = 2, sd = 1.36)
129 | vdiffr::expect_doppelganger("normal prob lower", p25)
130 |
131 | p26 <- vdist_normal_prob(3.43, mean = 2, sd = 1.36, type = 'upper')
132 | vdiffr::expect_doppelganger("normal prob upper", p26)
133 |
134 | p27 <- vdist_normal_prob(c(-1.74, 1.83), type = 'both')
135 | vdiffr::expect_doppelganger("normal prob both", p27)
136 | })
137 |
138 | test_that("output from vdist_t_plot is as expected", {
139 | skip_on_cran()
140 |
141 | p28 <- vdist_t_plot()
142 | vdiffr::expect_doppelganger("t plot 1", p28)
143 |
144 | p29 <- vdist_t_plot(6)
145 | vdiffr::expect_doppelganger("t plot 2", p29)
146 |
147 | p30 <- vdist_t_plot(df = 8)
148 | vdiffr::expect_doppelganger("t plot 3", p30)
149 | })
150 |
151 | test_that("output from vdist_t_perc is as expected", {
152 | skip_on_cran()
153 |
154 | p31 <- vdist_t_perc(probs = 0.95, df = 4, type = 'lower')
155 | vdiffr::expect_doppelganger("t perc lower", p31)
156 |
157 | p32 <- vdist_t_perc(probs = 0.35, df = 4, type = 'upper')
158 | vdiffr::expect_doppelganger("t perc upper", p32)
159 |
160 | p33 <- vdist_t_perc(probs = 0.69, df = 7, type = 'both')
161 | vdiffr::expect_doppelganger("t perc both", p33)
162 | })
163 |
164 | test_that("output from vdist_t_prob is as expected", {
165 | skip_on_cran()
166 |
167 | p34 <- vdist_t_prob(2.045, 7, 'lower')
168 | vdiffr::expect_doppelganger("t prob lower", p34)
169 |
170 | p35 <- vdist_t_prob(0.945, 7, 'upper')
171 | vdiffr::expect_doppelganger("t prob upper", p35)
172 |
173 | p36 <- vdist_t_prob(1.445, 7, 'interval')
174 | vdiffr::expect_doppelganger("t prob both", p36)
175 |
176 | p37 <- vdist_t_prob(1.6, 7, 'both')
177 | vdiffr::expect_doppelganger("t prob interval", p37)
178 | })
179 |
180 |
181 |
182 |
183 |
184 |
185 |
186 |
187 |
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/vignettes/.gitignore:
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1 | *.html
2 | *.R
3 |
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/vignettes/introduction-to-vistributions.Rmd:
--------------------------------------------------------------------------------
1 | ---
2 | title: "Exploring Distributions"
3 | output: rmarkdown::html_vignette
4 | vignette: >
5 | %\VignetteIndexEntry{Exploring Distributions}
6 | %\VignetteEngine{knitr::rmarkdown}
7 | %\VignetteEncoding{UTF-8}
8 | ---
9 |
10 | ```{r, echo=FALSE, message=FALSE}
11 | library(vistributions)
12 | ```
13 |
14 | In exploring statistical distributions, we focus on the following:
15 |
16 | - what influences the shape of a distribution
17 | - calculate probability from a given quantile
18 | - calculate quantiles out of given probability
19 |
20 | To explore the above 3 concepts, we have defined functions for the following
21 | distributions:
22 |
23 | - Normal
24 | - Binomial
25 | - Chi Square
26 | - F
27 | - t
28 |
29 | ## Normal Distribution
30 |
31 | ### Distribution Shape
32 |
33 | Visualize how changes in mean and standard deviation affect the shape of the
34 | normal distribution.
35 |
36 | ##### Input
37 | - mean: mean of the normal distribution
38 | - sd: standard deviation of the normal distribution
39 |
40 | ##### Output
41 | - Normal distribution plot
42 |
43 | ```{r norm_plot, fig.width=7, fig.height=7, fig.align='centre'}
44 | vdist_normal_plot(mean = 2, sd = 0.6)
45 | ```
46 |
47 | ### Percentiles
48 |
49 | #### Calculate and visualize quantiles out of given probability.
50 |
51 | ##### Input
52 | - probs: a probability value
53 | - mean: mean of the normal distribution
54 | - sd: standard deviation of the normal distribution
55 | - type: lower/upper tail
56 |
57 | Suppose X, the grade on a exam, is normally distributed with mean 60
58 | and standard deviation 3. The teacher wants to give 10% of the class an A.
59 | What should be the cutoff to determine who gets an A?
60 |
61 | ```{r norm_per1, fig.width=7, fig.height=7, fig.align='centre'}
62 | vdist_normal_perc(0.10, 60, 3, 'upper')
63 | ```
64 |
65 | The teacher wants to give lower 15% of the class a D. What cutoff should the
66 | teacher use to determine who gets an D?
67 |
68 | ```{r norm_per2, fig.width=7, fig.height=7, fig.align='centre'}
69 | vdist_normal_perc(0.85, 60, 3, 'lower')
70 | ```
71 |
72 | The teacher wants to give middle 50% of the class a B. What cutoff should the
73 | teacher use to determine who gets an B?
74 |
75 | ```{r norm_per3, fig.width=7, fig.height=7, fig.align='centre'}
76 | vdist_normal_perc(0.5, 60, 3, 'both')
77 | ```
78 |
79 | ### Probabilities
80 |
81 | #### Calculate and visualize probability from a given quantile
82 |
83 | ##### Input
84 | - perc: a quantile value
85 | - mean: mean of the normal distribution
86 | - sd: standard deviation of the normal distribution
87 | - type: lower/upper/both tail
88 |
89 | Let X be the IQ of a randomly selected student of a school. Assume X ~ N(90, 4).
90 | What is the probability that a randomly selected student has an IQ below 80?
91 |
92 | ```{r norm_prob1, fig.width=7, fig.height=7, fig.align='centre'}
93 | vdist_normal_prob(80, mean = 90, sd = 4)
94 | ```
95 |
96 | What is the probability that a randomly selected student has an IQ above 100?
97 |
98 | ```{r norm_prob2, fig.width=7, fig.height=7, fig.align='centre'}
99 | vdist_normal_prob(100, mean = 90, sd = 4, type = 'upper')
100 | ```
101 |
102 | What is the probability that a randomly selected student has an IQ
103 | between 85 and 100?
104 |
105 | ```{r norm_prob3, fig.width=7, fig.height=7, fig.align='centre'}
106 | vdist_normal_prob(c(85, 100), mean = 90, sd = 4, type = 'both')
107 | ```
108 |
109 | ## Binomial Distribution
110 |
111 | ### Distribution Shape
112 |
113 | Visualize how changes in number of trials and the probability of success affect
114 | the shape of the binomial distribution.
115 |
116 | ```{r binom_plot, fig.width=7, fig.height=7, fig.align='centre'}
117 | vdist_binom_plot(10, 0.3)
118 | ```
119 |
120 | ### Percentiles
121 |
122 | #### Calculate and visualize quantiles out of given probability
123 |
124 | ##### Input
125 | - p: a single aggregated probability of multiple trials
126 | - n: the number of trials
127 | - tp: the probability of success in a trial
128 | - type: lower/upper tail
129 |
130 |
131 | ```{r binom_per1, fig.width=7, fig.height=7, fig.align='centre'}
132 | vdist_binom_perc(10, 0.5, 0.05)
133 | ```
134 |
135 | ```{r binom_per2, fig.width=7, fig.height=7, fig.align='centre'}
136 | vdist_binom_perc(10, 0.5, 0.05, 'upper')
137 | ```
138 |
139 | ### Probabilities
140 |
141 | #### Calculate and visualize probability from a given quantile
142 |
143 | ##### Input
144 | - p: probability of success
145 | - n: the number of trials
146 | - s: number of success in a trial
147 | - type: lower/upper/interval/exact tail
148 |
149 |
150 | Assume twenty-percent (20%) of Magemill have no health insurance. Randomly
151 | sample n = 12 Magemillians. Let X denote the number in the sample with no
152 | health insurance. What is the probability that exactly 4 of the 15 sampled
153 | have no health insurance?
154 |
155 | ```{r binom_prob1, fig.width=7, fig.height=7, fig.align='centre'}
156 | vdist_binom_prob(12, 0.2, 4, type = 'exact')
157 | ```
158 |
159 | What is the probability that at most one of those sampled has no health
160 | insurance?
161 |
162 | ```{r binom_prob2, fig.width=7, fig.height=7, fig.align='centre'}
163 | vdist_binom_prob(12, 0.2, 1, 'lower')
164 | ```
165 |
166 | What is the probability that more than seven have no health insurance?
167 |
168 | ```{r binom_prob3, fig.width=7, fig.height=7, fig.align='centre'}
169 | vdist_binom_prob(12, 0.2, 8, 'upper')
170 | ```
171 |
172 | What is the probability that fewer than 5 have no health insurance?
173 |
174 | ```{r binom_prob4, fig.width=7, fig.height=7, fig.align='centre'}
175 | vdist_binom_prob(12, 0.2, c(0, 4), 'interval')
176 | ```
177 |
178 |
179 | ## Chi Square Distribution
180 |
181 | ### Distribution Shape
182 |
183 | Visualize how changes in degrees of freedom affect the shape of the chi square
184 | distribution.
185 |
186 | ```{r chi_plot, fig.width=7, fig.height=7, fig.align='centre'}
187 | vdist_chisquare_plot(df = 5)
188 | vdist_chisquare_plot(df = 5, normal = TRUE)
189 | ```
190 |
191 | ### Percentiles
192 |
193 | #### Calculate quantiles out of given probability
194 |
195 | ##### Input
196 | - probs: a probability value
197 | - df: degrees of freedom
198 | - type: lower/upper tail
199 |
200 | Let X be a chi-square random variable with 8 degrees of freedom. What is the
201 | upper fifth percentile?
202 |
203 | ```{r chi_per1, fig.width=7, fig.height=7, fig.align='centre'}
204 | vdist_chisquare_perc(0.05, 8, 'upper')
205 | ```
206 |
207 | What is the tenth percentile?
208 |
209 | ```{r chi_per2, fig.width=7, fig.height=7, fig.align='centre'}
210 | vdist_chisquare_perc(0.10, 8, 'lower')
211 | ```
212 |
213 | ### Probability
214 |
215 | #### Calculate probability from a given quantile.
216 |
217 | ##### Input
218 | - perc: a quantile value
219 | - df: degrees of freedom
220 | - type: lower/upper tail
221 |
222 |
223 | What is the probability that a chi-square random variable with 12 degrees of
224 | freedom is greater than 8.79?
225 |
226 | ```{r chi_prob1, fig.width=7, fig.height=7, fig.align='centre'}
227 | vdist_chisquare_prob(8.79, 12, 'upper')
228 | ```
229 |
230 | What is the probability that a chi-square random variable with 12 degrees of
231 | freedom is greater than 8.62?
232 |
233 | ```{r chi_prob2, fig.width=7, fig.height=7, fig.align='centre'}
234 | vdist_chisquare_prob(8.62, 12, 'lower')
235 | ```
236 |
237 | ## F Distribution
238 |
239 | ### Distribution Shape
240 |
241 | Visualize how changes in degrees of freedom affect the shape of the F
242 | distribution.
243 |
244 | ```{r f_plot, fig.width=7, fig.height=7, fig.align='centre'}
245 | vdist_f_plot()
246 | vdist_f_plot(6, 10, normal = TRUE)
247 | ```
248 |
249 | ### Percentiles
250 |
251 | #### Calculate quantiles out of given probability
252 |
253 | ##### Input
254 | - probs: a probability value
255 | - num_df: nmerator degrees of freedom
256 | - den_df: denominator degrees of freedom
257 | - type: lower/upper tail
258 |
259 |
260 | Let X be an F random variable with 4 numerator degrees of freedom and 5
261 | denominator degrees of freedom. What is the upper twenth percentile?
262 |
263 | ```{r f_per1, fig.width=7, fig.height=7, fig.align='centre'}
264 | vdist_f_perc(0.20, 4, 5, 'upper')
265 | ```
266 |
267 | What is the 35th percentile?
268 |
269 | ```{r f_per2, fig.width=7, fig.height=7, fig.align='centre'}
270 | vdist_f_perc(0.35, 4, 5, 'lower')
271 | ```
272 |
273 | ### Probabilities
274 |
275 | #### Calculate probability from a given quantile.
276 |
277 | ##### Input
278 | - perc: a quantile value
279 | - num_df: nmerator degrees of freedom
280 | - den_df: denominator degrees of freedom
281 | - type: lower/upper tail
282 |
283 |
284 | What is the probability that an F random variable with 4 numerator degrees of
285 | freedom and 5 denominator degrees of freedom is greater than 3.89?
286 |
287 | ```{r f_prob1, fig.width=7, fig.height=7, fig.align='centre'}
288 | vdist_f_prob(3.89, 4, 5, 'upper')
289 | ```
290 |
291 | What is the probability that an F random variable with 4 numerator degrees of
292 | freedom and 5 denominator degrees of freedom is less than 2.63?
293 |
294 | ```{r f_prob2, fig.width=7, fig.height=7, fig.align='centre'}
295 | vdist_f_prob(2.63, 4, 5, 'lower')
296 | ```
297 |
298 |
299 | ## t Distribution
300 |
301 | ### Distribution Shape
302 |
303 | Visualize how degrees of freedom affect the shape of t distribution.
304 |
305 | ```{r t_plot, fig.width=7, fig.height=7, fig.align='centre'}
306 | vdist_t_plot(df = 8)
307 | ```
308 |
309 | ### Percentiles
310 |
311 | #### Calculate quantiles out of given probability
312 |
313 | ##### Input
314 | - probs: a probability value
315 | - df: degrees of freedom
316 | - type: lower/upper/both tail
317 |
318 |
319 | What is the upper fifteenth percentile?
320 |
321 | ```{r t_per1, fig.width=7, fig.height=7, fig.align='centre'}
322 | vdist_t_perc(0.15, 8, 'upper')
323 | ```
324 |
325 | What is the eleventh percentile?
326 |
327 | ```{r t_per2, fig.width=7, fig.height=7, fig.align='centre'}
328 | vdist_t_perc(0.11, 8, 'lower')
329 | ```
330 |
331 | What is the area of the curve that has 95% of the t values?
332 |
333 | ```{r t_per3, fig.width=7, fig.height=7, fig.align='centre'}
334 | vdist_t_perc(0.8, 8, 'both')
335 | ```
336 |
337 |
338 | ### Probabilities
339 |
340 | #### Calculate probability from a given quantile.
341 |
342 | ##### Input
343 | - perc: a quantile value
344 | - df: degrees of freedom
345 | - type: lower/upper/interval/both tail
346 |
347 |
348 | Let T follow a t-distribution with r = 6 df.
349 |
350 | What is the probability that the value of T is less than 2?
351 |
352 | ```{r t_prob1, fig.width=7, fig.height=7, fig.align='centre'}
353 | vdist_t_prob(2, 6, 'lower')
354 | ```
355 |
356 | What is the probability that the value of T is greater than 2?
357 |
358 | ```{r t_prob2, fig.width=7, fig.height=7, fig.align='centre'}
359 | vdist_t_prob(2, 6, 'upper')
360 | ```
361 |
362 | What is the probability that the value of T is between -2 and 2?
363 |
364 | ```{r t_prob3, fig.width=7, fig.height=7, fig.align='centre'}
365 | vdist_t_prob(2, 6, 'both')
366 | ```
367 |
368 | What is the probability that the absolute value of T is greater than 2?
369 |
370 | ```{r t_prob4, fig.width=7, fig.height=7, fig.align='centre'}
371 | vdist_t_prob(2, 6, 'interval')
372 | ```
373 |
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1 | Version: 1.0
2 |
3 | RestoreWorkspace: Default
4 | SaveWorkspace: Default
5 | AlwaysSaveHistory: Default
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9 | NumSpacesForTab: 2
10 | Encoding: UTF-8
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12 | RnwWeave: Sweave
13 | LaTeX: pdfLaTeX
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15 | AutoAppendNewline: Yes
16 | StripTrailingWhitespace: Yes
17 |
18 | BuildType: Package
19 | PackageUseDevtools: Yes
20 | PackageInstallArgs: --no-multiarch --with-keep.source
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34 |
73 |
74 |
75 |
76 |
77 |
78 |
79 |
80 |
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/docs/pkgdown.css:
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1 | /* Sticky footer */
2 |
3 | /**
4 | * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/
5 | * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css
6 | *
7 | * .Site -> body > .container
8 | * .Site-content -> body > .container .row
9 | * .footer -> footer
10 | *
11 | * Key idea seems to be to ensure that .container and __all its parents__
12 | * have height set to 100%
13 | *
14 | */
15 |
16 | html, body {
17 | height: 100%;
18 | }
19 |
20 | body {
21 | position: relative;
22 | }
23 |
24 | body > .container {
25 | display: flex;
26 | height: 100%;
27 | flex-direction: column;
28 | }
29 |
30 | body > .container .row {
31 | flex: 1 0 auto;
32 | }
33 |
34 | footer {
35 | margin-top: 45px;
36 | padding: 35px 0 36px;
37 | border-top: 1px solid #e5e5e5;
38 | color: #666;
39 | display: flex;
40 | flex-shrink: 0;
41 | }
42 | footer p {
43 | margin-bottom: 0;
44 | }
45 | footer div {
46 | flex: 1;
47 | }
48 | footer .pkgdown {
49 | text-align: right;
50 | }
51 | footer p {
52 | margin-bottom: 0;
53 | }
54 |
55 | img.icon {
56 | float: right;
57 | }
58 |
59 | /* Ensure in-page images don't run outside their container */
60 | .contents img {
61 | max-width: 100%;
62 | height: auto;
63 | }
64 |
65 | /* Fix bug in bootstrap (only seen in firefox) */
66 | summary {
67 | display: list-item;
68 | }
69 |
70 | /* Typographic tweaking ---------------------------------*/
71 |
72 | .contents .page-header {
73 | margin-top: calc(-60px + 1em);
74 | }
75 |
76 | dd {
77 | margin-left: 3em;
78 | }
79 |
80 | /* Section anchors ---------------------------------*/
81 |
82 | a.anchor {
83 | display: none;
84 | margin-left: 5px;
85 | width: 20px;
86 | height: 20px;
87 |
88 | background-image: url(./link.svg);
89 | background-repeat: no-repeat;
90 | background-size: 20px 20px;
91 | background-position: center center;
92 | }
93 |
94 | h1:hover .anchor,
95 | h2:hover .anchor,
96 | h3:hover .anchor,
97 | h4:hover .anchor,
98 | h5:hover .anchor,
99 | h6:hover .anchor {
100 | display: inline-block;
101 | }
102 |
103 | /* Fixes for fixed navbar --------------------------*/
104 |
105 | .contents h1, .contents h2, .contents h3, .contents h4 {
106 | padding-top: 60px;
107 | margin-top: -40px;
108 | }
109 |
110 | /* Navbar submenu --------------------------*/
111 |
112 | .dropdown-submenu {
113 | position: relative;
114 | }
115 |
116 | .dropdown-submenu>.dropdown-menu {
117 | top: 0;
118 | left: 100%;
119 | margin-top: -6px;
120 | margin-left: -1px;
121 | border-radius: 0 6px 6px 6px;
122 | }
123 |
124 | .dropdown-submenu:hover>.dropdown-menu {
125 | display: block;
126 | }
127 |
128 | .dropdown-submenu>a:after {
129 | display: block;
130 | content: " ";
131 | float: right;
132 | width: 0;
133 | height: 0;
134 | border-color: transparent;
135 | border-style: solid;
136 | border-width: 5px 0 5px 5px;
137 | border-left-color: #cccccc;
138 | margin-top: 5px;
139 | margin-right: -10px;
140 | }
141 |
142 | .dropdown-submenu:hover>a:after {
143 | border-left-color: #ffffff;
144 | }
145 |
146 | .dropdown-submenu.pull-left {
147 | float: none;
148 | }
149 |
150 | .dropdown-submenu.pull-left>.dropdown-menu {
151 | left: -100%;
152 | margin-left: 10px;
153 | border-radius: 6px 0 6px 6px;
154 | }
155 |
156 | /* Sidebar --------------------------*/
157 |
158 | #pkgdown-sidebar {
159 | margin-top: 30px;
160 | position: -webkit-sticky;
161 | position: sticky;
162 | top: 70px;
163 | }
164 |
165 | #pkgdown-sidebar h2 {
166 | font-size: 1.5em;
167 | margin-top: 1em;
168 | }
169 |
170 | #pkgdown-sidebar h2:first-child {
171 | margin-top: 0;
172 | }
173 |
174 | #pkgdown-sidebar .list-unstyled li {
175 | margin-bottom: 0.5em;
176 | }
177 |
178 | /* bootstrap-toc tweaks ------------------------------------------------------*/
179 |
180 | /* All levels of nav */
181 |
182 | nav[data-toggle='toc'] .nav > li > a {
183 | padding: 4px 20px 4px 6px;
184 | font-size: 1.5rem;
185 | font-weight: 400;
186 | color: inherit;
187 | }
188 |
189 | nav[data-toggle='toc'] .nav > li > a:hover,
190 | nav[data-toggle='toc'] .nav > li > a:focus {
191 | padding-left: 5px;
192 | color: inherit;
193 | border-left: 1px solid #878787;
194 | }
195 |
196 | nav[data-toggle='toc'] .nav > .active > a,
197 | nav[data-toggle='toc'] .nav > .active:hover > a,
198 | nav[data-toggle='toc'] .nav > .active:focus > a {
199 | padding-left: 5px;
200 | font-size: 1.5rem;
201 | font-weight: 400;
202 | color: inherit;
203 | border-left: 2px solid #878787;
204 | }
205 |
206 | /* Nav: second level (shown on .active) */
207 |
208 | nav[data-toggle='toc'] .nav .nav {
209 | display: none; /* Hide by default, but at >768px, show it */
210 | padding-bottom: 10px;
211 | }
212 |
213 | nav[data-toggle='toc'] .nav .nav > li > a {
214 | padding-left: 16px;
215 | font-size: 1.35rem;
216 | }
217 |
218 | nav[data-toggle='toc'] .nav .nav > li > a:hover,
219 | nav[data-toggle='toc'] .nav .nav > li > a:focus {
220 | padding-left: 15px;
221 | }
222 |
223 | nav[data-toggle='toc'] .nav .nav > .active > a,
224 | nav[data-toggle='toc'] .nav .nav > .active:hover > a,
225 | nav[data-toggle='toc'] .nav .nav > .active:focus > a {
226 | padding-left: 15px;
227 | font-weight: 500;
228 | font-size: 1.35rem;
229 | }
230 |
231 | /* orcid ------------------------------------------------------------------- */
232 |
233 | .orcid {
234 | font-size: 16px;
235 | color: #A6CE39;
236 | /* margins are required by official ORCID trademark and display guidelines */
237 | margin-left:4px;
238 | margin-right:4px;
239 | vertical-align: middle;
240 | }
241 |
242 | /* Reference index & topics ----------------------------------------------- */
243 |
244 | .ref-index th {font-weight: normal;}
245 |
246 | .ref-index td {vertical-align: top; min-width: 100px}
247 | .ref-index .icon {width: 40px;}
248 | .ref-index .alias {width: 40%;}
249 | .ref-index-icons .alias {width: calc(40% - 40px);}
250 | .ref-index .title {width: 60%;}
251 |
252 | .ref-arguments th {text-align: right; padding-right: 10px;}
253 | .ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px}
254 | .ref-arguments .name {width: 20%;}
255 | .ref-arguments .desc {width: 80%;}
256 |
257 | /* Nice scrolling for wide elements --------------------------------------- */
258 |
259 | table {
260 | display: block;
261 | overflow: auto;
262 | }
263 |
264 | /* Syntax highlighting ---------------------------------------------------- */
265 |
266 | pre, code, pre code {
267 | background-color: #f8f8f8;
268 | color: #333;
269 | }
270 | pre, pre code {
271 | white-space: pre-wrap;
272 | word-break: break-all;
273 | overflow-wrap: break-word;
274 | }
275 |
276 | pre {
277 | border: 1px solid #eee;
278 | }
279 |
280 | pre .img, pre .r-plt {
281 | margin: 5px 0;
282 | }
283 |
284 | pre .img img, pre .r-plt img {
285 | background-color: #fff;
286 | }
287 |
288 | code a, pre a {
289 | color: #375f84;
290 | }
291 |
292 | a.sourceLine:hover {
293 | text-decoration: none;
294 | }
295 |
296 | .fl {color: #1514b5;}
297 | .fu {color: #000000;} /* function */
298 | .ch,.st {color: #036a07;} /* string */
299 | .kw {color: #264D66;} /* keyword */
300 | .co {color: #888888;} /* comment */
301 |
302 | .error {font-weight: bolder;}
303 | .warning {font-weight: bolder;}
304 |
305 | /* Clipboard --------------------------*/
306 |
307 | .hasCopyButton {
308 | position: relative;
309 | }
310 |
311 | .btn-copy-ex {
312 | position: absolute;
313 | right: 0;
314 | top: 0;
315 | visibility: hidden;
316 | }
317 |
318 | .hasCopyButton:hover button.btn-copy-ex {
319 | visibility: visible;
320 | }
321 |
322 | /* headroom.js ------------------------ */
323 |
324 | .headroom {
325 | will-change: transform;
326 | transition: transform 200ms linear;
327 | }
328 | .headroom--pinned {
329 | transform: translateY(0%);
330 | }
331 | .headroom--unpinned {
332 | transform: translateY(-100%);
333 | }
334 |
335 | /* mark.js ----------------------------*/
336 |
337 | mark {
338 | background-color: rgba(255, 255, 51, 0.5);
339 | border-bottom: 2px solid rgba(255, 153, 51, 0.3);
340 | padding: 1px;
341 | }
342 |
343 | /* vertical spacing after htmlwidgets */
344 | .html-widget {
345 | margin-bottom: 10px;
346 | }
347 |
348 | /* fontawesome ------------------------ */
349 |
350 | .fab {
351 | font-family: "Font Awesome 5 Brands" !important;
352 | }
353 |
354 | /* don't display links in code chunks when printing */
355 | /* source: https://stackoverflow.com/a/10781533 */
356 | @media print {
357 | code a:link:after, code a:visited:after {
358 | content: "";
359 | }
360 | }
361 |
362 | /* Section anchors ---------------------------------
363 | Added in pandoc 2.11: https://github.com/jgm/pandoc-templates/commit/9904bf71
364 | */
365 |
366 | div.csl-bib-body { }
367 | div.csl-entry {
368 | clear: both;
369 | }
370 | .hanging-indent div.csl-entry {
371 | margin-left:2em;
372 | text-indent:-2em;
373 | }
374 | div.csl-left-margin {
375 | min-width:2em;
376 | float:left;
377 | }
378 | div.csl-right-inline {
379 | margin-left:2em;
380 | padding-left:1em;
381 | }
382 | div.csl-indent {
383 | margin-left: 2em;
384 | }
385 |
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1 | /* http://gregfranko.com/blog/jquery-best-practices/ */
2 | (function($) {
3 | $(function() {
4 |
5 | $('nav.navbar').headroom();
6 |
7 | Toc.init({
8 | $nav: $("#toc"),
9 | $scope: $("main h2, main h3, main h4, main h5, main h6")
10 | });
11 |
12 | if ($('#toc').length) {
13 | $('body').scrollspy({
14 | target: '#toc',
15 | offset: $("nav.navbar").outerHeight() + 1
16 | });
17 | }
18 |
19 | // Activate popovers
20 | $('[data-bs-toggle="popover"]').popover({
21 | container: 'body',
22 | html: true,
23 | trigger: 'focus',
24 | placement: "top",
25 | sanitize: false,
26 | });
27 |
28 | $('[data-bs-toggle="tooltip"]').tooltip();
29 |
30 | /* Clipboard --------------------------*/
31 |
32 | function changeTooltipMessage(element, msg) {
33 | var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
34 | element.setAttribute('data-bs-original-title', msg);
35 | $(element).tooltip('show');
36 | element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
37 | }
38 |
39 | if(ClipboardJS.isSupported()) {
40 | $(document).ready(function() {
41 | var copyButton = "";
42 |
43 | $("div.sourceCode").addClass("hasCopyButton");
44 |
45 | // Insert copy buttons:
46 | $(copyButton).prependTo(".hasCopyButton");
47 |
48 | // Initialize tooltips:
49 | $('.btn-copy-ex').tooltip({container: 'body'});
50 |
51 | // Initialize clipboard:
52 | var clipboard = new ClipboardJS('[data-clipboard-copy]', {
53 | text: function(trigger) {
54 | return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, "");
55 | }
56 | });
57 |
58 | clipboard.on('success', function(e) {
59 | changeTooltipMessage(e.trigger, 'Copied!');
60 | e.clearSelection();
61 | });
62 |
63 | clipboard.on('error', function(e) {
64 | changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
65 | });
66 |
67 | });
68 | }
69 |
70 | /* Search marking --------------------------*/
71 | var url = new URL(window.location.href);
72 | var toMark = url.searchParams.get("q");
73 | var mark = new Mark("main#main");
74 | if (toMark) {
75 | mark.mark(toMark, {
76 | accuracy: {
77 | value: "complementary",
78 | limiters: [",", ".", ":", "/"],
79 | }
80 | });
81 | }
82 |
83 | /* Search --------------------------*/
84 | /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */
85 | // Initialise search index on focus
86 | var fuse;
87 | $("#search-input").focus(async function(e) {
88 | if (fuse) {
89 | return;
90 | }
91 |
92 | $(e.target).addClass("loading");
93 | var response = await fetch($("#search-input").data("search-index"));
94 | var data = await response.json();
95 |
96 | var options = {
97 | keys: ["what", "text", "code"],
98 | ignoreLocation: true,
99 | threshold: 0.1,
100 | includeMatches: true,
101 | includeScore: true,
102 | };
103 | fuse = new Fuse(data, options);
104 |
105 | $(e.target).removeClass("loading");
106 | });
107 |
108 | // Use algolia autocomplete
109 | var options = {
110 | autoselect: true,
111 | debug: true,
112 | hint: false,
113 | minLength: 2,
114 | };
115 | var q;
116 | async function searchFuse(query, callback) {
117 | await fuse;
118 |
119 | var items;
120 | if (!fuse) {
121 | items = [];
122 | } else {
123 | q = query;
124 | var results = fuse.search(query, { limit: 20 });
125 | items = results
126 | .filter((x) => x.score <= 0.75)
127 | .map((x) => x.item);
128 | if (items.length === 0) {
129 | items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}];
130 | }
131 | }
132 | callback(items);
133 | }
134 | $("#search-input").autocomplete(options, [
135 | {
136 | name: "content",
137 | source: searchFuse,
138 | templates: {
139 | suggestion: (s) => {
140 | if (s.title == s.what) {
141 | return `${s.dir} >
35 |
62 |
63 |
64 |
36 |
37 |
40 |
41 |
44 |
48 | Changelog
38 | Source:NEWS.md
39 |
49 |
52 |
56 |
60 | vistributions 0.1.2
CRAN release: 2021-05-20
50 |This is a patch release to fix CRAN note about lazy data.
51 | ${s.title}
`;
142 | } else if (s.previous_headings == "") {
143 | return `${s.dir} > ${s.title}
> ${s.what}`;
144 | } else {
145 | return `${s.dir} > ${s.title}
> ${s.previous_headings} > ${s.what}`;
146 | }
147 | },
148 | },
149 | },
150 | ]).on('autocomplete:selected', function(event, s) {
151 | window.location.href = s.path + "?q=" + q + "#" + s.id;
152 | });
153 | });
154 | })(window.jQuery || window.$)
155 |
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1 | pandoc: '3.2'
2 | pkgdown: 2.1.0
3 | pkgdown_sha: ~
4 | articles:
5 | introduction-to-vistributions: introduction-to-vistributions.html
6 | last_built: 2024-11-07T11:30Z
7 | urls:
8 | reference: https://vistributions.rsquaredacademy.com/reference
9 | article: https://vistributions.rsquaredacademy.com/articles
10 |
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35 |
145 |
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147 |
36 |
37 |
39 |
40 | Package index
38 |
47 |
48 |
49 |
50 |
51 |
-
52 |
53 |
vdist_launch_app()54 | 55 |
56 | - Launch shiny app 57 |
64 |
65 |
66 |
67 |
68 |
-
69 |
70 |
vdist_binom_plot()vdist_binom_prob()vdist_binom_perc()71 | 72 |
73 | - Visualize binomial distribution 74 |
81 |
82 |
83 |
84 |
85 |
-
86 |
87 |
vdist_chisquare_plot()vdist_chisquare_perc()vdist_chisquare_prob()88 | 89 |
90 | - Visualize chi square distribution 91 |
98 |
99 |
100 |
101 |
102 |
-
103 |
104 |
vdist_normal_plot()vdist_normal_perc()vdist_normal_prob()105 | 106 |
107 | - Visualize normal distribution 108 |
115 |
116 |
117 |
118 |
119 |
-
120 |
121 |
vdist_f_plot()vdist_f_perc()vdist_f_prob()122 | 123 |
124 | - Visualize f distribution 125 |
132 |
133 |
134 |
135 |
136 |
143 | -
137 |
138 |
vdist_t_plot()vdist_t_perc()vdist_t_prob()139 | 140 |
141 | - Visualize t distribution 142 |
34 |
72 |
73 |
74 |
75 |
76 |
77 |
78 |
79 |
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59 | Launches shiny app for visualizing distributions.
44 |
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128 |
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123 |
124 | Visualize how changes in mean and standard deviation affect the 119 | shape of the normal distribution. Compute & visualize quantiles out of given 120 | probability and probability from a given quantile.
121 | 122 |vdist_norm_plot(mean = 0, sd = 1)125 | 126 |
Arguments
127 || mean | 131 |Mean of the normal distribution. |
132 |
|---|---|
| sd | 135 |Standard deviation of the normal distribution. |
136 |
See also
140 | 141 | 142 | 143 | 144 |Examples
145 |148 |# visualize normal distribution 146 | vdist_norm_plot()vdist_norm_plot(mean = 2, sd = 0.6)147 |
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54 | Visualize probability distributions.
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59 | Author
56 |Maintainer: Aravind Hebbali hebbali.aravind@gmail.com
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