stat 545a class meeting #3 wednesday, september 11, 2013jenny/stat545a/2013-lectures/cm...stat 545a...

STAT 545AClass meeting #3Wednesday, September 11, 2013

Dr. Jennifer (Jenny) Bryan

Department of Statistics and Michael Smith Laboratories

Wednesday, 11 September, 13

http://creativecommons.org/licenses/by-nc/3.0/








any questions from tutorial re: Basic care and feeding of data in R?

HW #1 “Dry Run”. Due as soon as possible. Publish 1 page of something -- practically anything -- to Rpubs, then share that link w/ rest of the class. Instructions/”assignment” is posted but will get some editing. Content not important.

HW #2 “Dry Run 2 + Hello Gapminder”. Due 9:30am Monday Sept. 16. Perform basic data intake and smell testing for the Gapminder data. Write it up via R Markdown. Compile, publish, share. Content can be drawn from tutorials, your job is to pull together. Instructions coming.


http://www.stat.ubc.ca/~jenny/STAT545A/block02_importInspectAccess.html




today

data analysis vs programming vs developing

combo lecture and hands on computing:R objects, beyond the data.framestudents will complete on their own

R Markdown


three different modes of working with R:

data analysis

programming

developing



data analysis

programming

developing

I am mostly trying to prepare you for this.



data analysis

programming

developing

But we need to talk .... about some things more related to this.


hands-on computing phase here


Simple view

Technically correct R viewTechnically correct R viewTechnically correct R viewSimple view

mode class typeof

character character character character

logical logical logical logical

numeric numeric integer or numeric

integer or double

factor numeric factor integer

JB’s typology of R objects, i.e. “flavors”a simple view of simple R objects that will get you pretty far


JB’s typology of R objects, i.e. “flavors”a simple view of simple R objects that will get you pretty far

Simple view

Technically correct R viewTechnically correct R viewTechnically correct R viewSimple view

mode class typeof

character character character character

logical logical logical logical

numeric numeric integer or numeric

integer or double

factor numeric factor integer

We will spend some time talking about factors in a future class.Wednesday, 11 September, 13

“Simple view” of data collections

vector

list

Collecting scalars of the same mode?

yes

no

matrix

yes

Collecting vectors of the same length?

no

Collecting vectors of the same mode?data.frame

yes

no


weak links in the chain:process, packaging and presentation


Excerpt from “Real Advice from Real People” by Tom Loughin, Statistical Society of Canada Liaison, Vol. 22 No. 4 (November 2008).


http://www.ssc.ca/webfm_send/154

http://www.ssc.ca/webfm_send/154

http://daringfireball.net/projects/markdown/




http://www.rstudio.com/ide/docs/r_markdown

http://www.rstudio.com/ide/docs/authoring/using_markdown

http://yihui.name/knitr/








File > New > R MarkdownSave As ... test.rmd


Displays Markdown Quick Reference in the Help tab/pane


File > New > R MarkdownSave As ... test.rmd

Knit HTML.Yes this can be accomplished outside of RStudio, using knitr functions at the command line, so we are not creating unhealthy dependency on RStudio.


This is where you’ll need that RPubs account.Wednesday, 11 September, 13

You author this. You’ve seen it already.

What’s actually happening?


knit() function from knitr package does R Markdown to Markdown conversion

R chunks are run and replaced by their output.Yes that’s oversimplified but you get the idea.


Title========================================================

This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the **MD** toolbar button for help on Markdown).

When you click the **Knit HTML** button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

```rsummary(cars)```

```## speed dist ## Min. : 4.0 Min. : 2 ## 1st Qu.:12.0 1st Qu.: 26 ## Median :15.0 Median : 36 ## Mean :15.4 Mean : 43 ## 3rd Qu.:19.0 3rd Qu.: 56 ## Max. :25.0 Max. :120```

You can also embed plots, for example:

```rplot(cars)```

![plot of chunk unnamed-chunk-2](figure/unnamed-chunk-2.png)

Title========================================================



```{r}summary(cars)```


```{r fig.width=7, fig.height=6}plot(cars)```

test.rmd test.md


markdownToHTML() function from markdown package does Markdown to HTML conversion

Pandoc, the Swiss army knife of document conversion, is another option for Markdown to HTML conversion and, importantly, for Markdown to PDF conversion.

You can set things up so that RStudio and knitr use Pandoc for the second conversion step.


http://johnmacfarlane.net/pandoc/

http://johnmacfarlane.net/pandoc/

<!DOCTYPE html><html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>

<title>Title</title>

<style type="text/css"> pre .operator, pre .paren { color: rgb(104, 118, 135) }

pre .literal { color: rgb(88, 72, 246) }

pre .number { color: rgb(0, 0, 205); }

pre .comment { color: rgb(76, 136, 107); }

pre .keyword { color: rgb(0, 0, 255); }

pre .identifier { color: rgb(0, 0, 0); }

pre .string { color: rgb(3, 106, 7); }</style>

<script type="text/javascript">var hljs=new function(){function m(p){return p.replace(/&/gm,"&").replace(/</gm,"<")}function f(r,q,p){return RegExp(q,"m"+(r.cI?"i":"")+(p?"g":""))}function b(r){for(var p=0;p<r.childNodes.length;p++){var q=r.childNodes[p];if(q.nodeName=="CODE"){return q}if(!(q.nodeType==3&&q.nodeValue.match(/\s+/))){break}}}function h(t,s){var p="";for(var r=0;r<t.childNodes.length;r++){if(t.childNodes[r].nodeType==3){var q=t.childNodes[r].nodeValue;if(s){q=q.replace(/\n/g,"")}p+=q}else{if(t.childNodes[r].nodeName=="BR"){p+="\n"}else{p+=h(t.childNodes[r])}}}if(/MSIE [678]/.test(navigator.userAgent)){p=p.replace(/\r/g,"\n")}return p}function a(s){var r=s.className.split(/\s+/);r=r.concat(s.parentNode.className.split(/\s+/));for(var q=0;q<r.length;q++){var p=r[q].replace(/^language-/,"");if(e[p]){return p}}}function c(q){var p=[];(function(s,t){for(var r=0;r<s.childNodes.length;r++){if(s.childNodes[r].nodeType==3){t+=s.childNodes[r].nodeValue.length}else{if(s.childNodes[r].nodeName=="BR"){t+=1}else{if(s.childNodes[r].nodeType==1){p.push({event:"start",offset:t,node:s.childNodes[r]});t=arguments.callee(s.childNodes[r],t);p.push({event:"stop",offset:t,node:s.childNodes[r]})}}}}return t})(q,0);return p}function k(y,w,x){var q=0;var z="";var s=[];function u(){if(y.length&&w.length){if(y[0].offset!=w[0].offset){return(y[0].offset<w[0].offset)?y:w}else{return w[0].event=="start"?y:w}}else{return y.length?y:w}}function t(D){var A="<"+D.nodeName.toLowerCase();for(var B=0;B<D.attributes.length;B++){var C=D.attributes[B];A+=" "+C.nodeName.toLowerCase();if(C.value!==undefined&&C.value!==false&&C.value!==null){A+='="'+m(C.value)+'"'}}return A+">"}while(y.length||w.length){var v=u().splice(0,1)[0];z+=m(x.substr(q,v.offset-q));q=v.offset;if(v.event=="start"){z+=t(v.node);s.push(v.node)}else{if(v.event=="stop"){var p,r=s.length;do{r--;p=s[r];z+=("</"+p.nodeName.toLowerCase()+">")}while(p!=v.node);s.splice(r,1);while(r<s.length){z+=t(s[r]);r++}}}}return z+m(x.substr(q))}function j(){function q(x,y,v){if(x.compiled){return}var u;var s=[];if(x.k){x.lR=f(y,x.l||hljs.IR,true);for(var w in x.k){if(!x.k.hasOwnProperty(w)){continue}if(x.k[w] instanceof Object){u=x.k[w]}else{u=x.k;w="keyword"}for(var r in u){if(!u.hasOwnProperty(r)){continue}x.k[r]=[w,u[r]];s.push(r)}}}if(!v){if(x.bWK){x.b="\\b("+s.join("|")+")\\s"}x.bR=f(y,x.b?x.b:"\\B|\\b");if(!x.e&&!x.eW){x.e="\\B|\\b"}if(x.e){x.eR=f(y,x.e)}}if(x.i){x.iR=f(y,x.i)}if(x.r===undefined){x.r=1}if(!x.c){x.c=[]}x.compiled=true;for(var t=0;t<x.c.length;t++){if(x.c[t]=="self"){x.c[t]=x}q(x.c[t],y,false)}if(x.starts){q(x.starts,y,false)}}for(var p in e){if(!e.hasOwnProperty(p)){continue}q(e[p].dM,e[p],true)}}function d(B,C){if(!j.called){j();j.called=true}function q(r,M){for(var L=0;L<M.c.length;L++){if((M.c[L].bR.exec(r)||[null])[0]==r){return M.c[L]}}}function v(L,r){if(D[L].e&&D[L].eR.test(r)){return 1}if(D[L].eW){var M=v(L-1,r);return M?M+1:0}return 0}function w(r,L){return L.i&&L.iR.test(r)}function K(N,O){var M=[];for(var L=0;L<N.c.length;L++){M.push(N.c[L].b)}var r=D.length-1;do{if(D[r].e){M.push(D[r].e)}r--}while(D[r+1].eW);if(N.i){M.push(N.i)}return f(O,M.join("|"),true)}function p(M,L){var N=D[D.length-1];if(!N.t){N.t=K(N,E)}N.t.lastIndex=L;var r=N.t.exec(M);return r?[M.substr(L,r.index-L),r[0],false]:[M.substr(L),"",true]}function z(N,r){var L=E.cI?r[0].toLowerCase():r[0];var M=N.k[L];if(M&&M instanceof Array){return M}return false}function F(L,P){L=m(L);if(!P.k){return L}var r="";var O=0;P.lR.lastIndex=0;var M=P.lR.exec(L);while(M){r+=L.substr(O,M.index-O);var N=z(P,M);if(N){x+=N[1];r+='<span class="'+N[0]+'">'+M[0]+"</span>"}else{r+=M[0]}O=P.lR.lastIndex;M=P.lR.exec(L)}return r+L.substr(O,L.length-O)}function J(L,M){if(M.sL&&e[M.sL]){var r=d(M.sL,L);x+=r.keyword_count;return r.value}else{return F(L,M)}}function I(M,r){var L=M.cN?'<span class="'+M.cN+'">':"";if(M.rB){y+=L;M.buffer=""}else{if(M.eB){y+=m(r)+L;M.buffer=""}else{y+=L;M.buffer=r}}D.push(M);A+=M.r}function G(N,M,Q){var R=D[D.length-1];if(Q){y+=J(R.buffer+N,R);return false}var P=q(M,R);if(P){y+=J(R.buffer+N,R);I(P,M);return P.rB}var L=v(D.length-1,M);if(L){var O=R.cN?"</span>":"";if(R.rE){y+=J(R.buffer+N,R)+O}else{if(R.eE){y+=J(R.buffer+N,R)+O+m(M)}else{y+=J(R.buffer+N+M,R)+O}}while(L>1){O=D[D.length-2].cN?"</span>":"";y+=O;L--;D.length--}var r=D[D.length-1];D.length--;D[D.length-1].buffer="";if(r.starts){I(r.starts,"")}return R.rE}if(w(M,R)){throw"Illegal"}}var E=e[B];var D=[E.dM];var A=0;var x=0;var y="";try{var s,u=0;E.dM.buffer="";do{s=p(C,u);var t=G(s[0],s[1],s[2]);u+=s[0].length;if(!t){u+=s[1].length}}while(!s[2]);if(D.length>1){throw"Illegal"}return{r:A,keyword_count:x,value:y}}catch(H){if(H=="Illegal"){return{r:0,keyword_count:0,value:m(C)}}else{throw H}}}function g(t){var p={keyword_count:0,r:0,value:m(t)};var r=p;for(var q in e){if(!e.hasOwnProperty(q)){continue}var s=d(q,t);s.language=q;if(s.keyword_count+s.r>r.keyword_count+r.r){r=s}if(s.keyword_count+s.r>p.keyword_count+p.r){r=p;p=s}}if(r.language){p.second_best=r}return p}function i(r,q,p){if(q){r=r.replace(/^((<[^>]+>|\t)+)/gm,function(t,w,v,u){return w.replace(/\t/g,q)})}if(p){r=r.replace(/\n/g,"<br>")}return r}function n(t,w,r){var x=h(t,r);var v=a(t);var y,s;if(v){y=d(v,x)}else{return}var q=c(t);if(q.length){s=document.createElement("pre");s.innerHTML=y.value;y.value=k(q,c(s),x)}y.value=i(y.value,w,r);var u=t.className;if(!u.match("(\\s|^)(language-)?"+v+"(\\s|$)")){u=u?(u+" "+v):v}if(/MSIE [678]/.test(navigator.userAgent)&&t.tagName=="CODE"&&t.parentNode.tagName=="PRE"){s=t.parentNode;var p=document.createElement("div");p.innerHTML="<pre><code>"+y.value+"</code></pre>";t=p.firstChild.firstChild;p.firstChild.cN=s.cN;s.parentNode.replaceChild(p.firstChild,s)}else{t.innerHTML=y.value}t.className=u;t.result={language:v,kw:y.keyword_count,re:y.r};if(y.second_best){t.second_best={language:y.second_best.language,kw:y.second_best.keyword_count,re:y.second_best.r}}}function o(){if(o.called){return}o.called=true;var r=document.getElementsByTagName("pre");for(var p=0;p<r.length;p++){var q=b(r[p]);if(q){n(q,hljs.tabReplace)}}}function l(){if(window.addEventListener){window.addEventListener("DOMContentLoaded",o,false);window.addEventListener("load",o,false)}else{if(window.attachEvent){window.attachEvent("onload",o)}else{window.onload=o}}}var e={};this.LANGUAGES=e;this.highlight=d;this.highlightAuto=g;this.fixMarkup=i;this.highlightBlock=n;this.initHighlighting=o;this.initHighlightingOnLoad=l;this.IR="[a-zA-Z][a-zA-Z0-9_]*";this.UIR="[a-zA-Z_][a-zA-Z0-9_]*";this.NR="\\b\\d+(\\.\\d+)?";this.CNR="\\b(0[xX][a-fA-F0-9]+|(\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)";this.BNR="\\b(0b[01]+)";this.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|\\.|-|-=|/|/=|:|;|<|<<|<<=|<=|=|==|===|>|>=|>>|>>=|>>>|>>>=|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~";this.ER="(?![\\s\\S])";this.BE={b:"\\\\.",r:0};this.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[this.BE],r:0};this.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[this.BE],r:0};this.CLCM={cN:"comment",b:"//",e:"$"};this.CBLCLM={cN:"comment",b:"/\\*",e:"\\*/"};this.HCM={cN:"comment",b:"#",e:"$"};this.NM={cN:"number",b:this.NR,r:0};this.CNM={cN:"number",b:this.CNR,r:0};this.BNM={cN:"number",b:this.BNR,r:0};this.inherit=function(r,s){var p={};for(var q in r){p[q]=r[q]}if(s){for(var q in s){p[q]=s[q]}}return p}}();hljs.LANGUAGES.cpp=function(){var a={keyword:{"false":1,"int":1,"float":1,"while":1,"private":1,"char":1,"catch":1,"export":1,virtual:1,operator:2,sizeof:2,dynamic_cast:2,typedef:2,const_cast:2,"const":1,struct:1,"for":1,static_cast:2,union:1,namespace:1,unsigned:1,"long":1,"throw":1,"volatile":2,"static":1,"protected":1,bool:1,template:1,mutable:1,"if":1,"public":1,friend:2,"do":1,"return":1,"goto":1,auto:1,"void":2,"enum":1,"else":1,"break":1,"new":1,extern:1,using:1,"true":1,"class":1,asm:1,"case":1,typeid:1,"short":1,reinterpret_cast:2,"default":1,"double":1,register:1,explicit:1,signed:1,typename:1,"try":1,"this":1,"switch":1,"continue":1,wchar_t:1,inline:1,"delete":1,alignof:1,char16_t:1,char32_t:1,constexpr:1,decltype:1,noexcept:1,nullptr:1,static_assert:1,thread_local:1,restrict:1,_Bool:1,complex:1},built_in:{std:1,string:1,cin:1,cout:1,cerr:1,clog:1,stringstream:1,istringstream:1,ostringstream:1,auto_ptr:1,deque:1,list:1,queue:1,stack:1,vector:1,map:1,set:1,bitset:1,multiset:1,multimap:1,unordered_set:1,unordered_map:1,unordered_multiset:1,unordered_multimap:1,array:1,shared_ptr:1}};return{dM:{k:a,i:"</",c:[hljs.CLCM,hljs.CBLCLM,hljs.QSM,{cN:"string",b:"'\\\\?.",e:"'",i:"."},{cN:"number",b:"\\b(\\d+(\\.\\d*)?|\\.\\d+)(u|U|l|L|ul|UL|f|F)"},hljs.CNM,{cN:"preprocessor",b:"#",e:"$"},{cN:"stl_container",b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:a,r:10,c:["self"]}]}}}();hljs.LANGUAGES.r={dM:{c:[hljs.HCM,{cN:"number",b:"\\b0[xX][0-9a-fA-F]+[Li]?\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\b\\d+(?:[eE][+\\-]?\\d*)?L\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\b\\d+\\.(?!\\d)(?:i\\b)?",e:hljs.IMMEDIATE_RE,r:1},{cN:"number",b:"\\b\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"keyword",b:"(?:tryCatch|library|setGeneric|setGroupGeneric)\\b",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\.\\.\\.",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\.\\.\\d+(?![\\w.])",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\b(?:function)",e:hljs.IMMEDIATE_RE,r:2},{cN:"keyword",b:"(?:if|in|break|next|repeat|else|for|return|switch|while|try|stop|warning|require|attach|detach|source|setMethod|setClass)\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"literal",b:"(?:NA|NA_integer_|NA_real_|NA_character_|NA_complex_)\\b",e:hljs.IMMEDIATE_RE,r:10},{cN:"literal",b:"(?:NULL|TRUE|FALSE|T|F|Inf|NaN)\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"identifier",b:"[a-zA-Z.][a-zA-Z0-9._]*\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"operator",b:"<\\-(?!\\s*\\d)",e:hljs.IMMEDIATE_RE,r:2},{cN:"operator",b:"\\->|<\\-",e:hljs.IMMEDIATE_RE,r:1},{cN:"operator",b:"%%|~",e:hljs.IMMEDIATE_RE},{cN:"operator",b:">=|<=|==|!=|\\|\\||&&|=|\\+|\\-|\\*|/|\\^|>|<|!|&|\\||\\$|:",e:hljs.IMMEDIATE_RE,r:0},{cN:"operator",b:"%",e:"%",i:"\\n",r:1},{cN:"identifier",b:"`",e:"`",r:0},{cN:"string",b:'"',e:'"',c:[hljs.BE],r:0},{cN:"string",b:"'",e:"'",c:[hljs.BE],r:0},{cN:"paren",b:"[[({\\])}]",e:hljs.IMMEDIATE_RE,r:0}]}};hljs.initHighlightingOnLoad();</script>

<script type="text/javascript" src="https://c328740.ssl.cf1.rackcdn.com/mathjax/2.0-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>

<style type="text/css">body { font-family: Helvetica, arial, sans-serif; font-size: 14px; line-height: 1.6; padding-top: 10px; padding-bottom: 10px; background-color: white; padding: 30px; }

body > *:first-child { margin-top: 0 !important; }body > *:last-child { margin-bottom: 0 !important; }

a { color: #4183C4; }a.absent { color: #cc0000; }a.anchor { display: block; padding-left: 30px; margin-left: -30px; cursor: pointer; position: absolute; top: 0; left: 0; bottom: 0; }

h1, h2, h3, h4, h5, h6 { margin: 20px 0 10px; padding: 0; font-weight: bold; -webkit-font-smoothing: antialiased; cursor: text; position: relative; }

h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor, h5:hover a.anchor, h6:hover a.anchor { text-decoration: none; }

h1 tt, h1 code { font-size: inherit; }






h1 { font-size: 28px; color: black; }

h2 { font-size: 24px; border-bottom: 1px solid #cccccc; color: black; }

h3 { font-size: 18px; }



h6 { color: #777777; font-size: 14px; }

p, blockquote, ul, ol, dl, li, table, pre { margin: 15px 0; }

hr { border: 0 none; color: #cccccc; height: 4px; padding: 0;}

body > h2:first-child { margin-top: 0; padding-top: 0; }body > h1:first-child { margin-top: 0; padding-top: 0; }body > h1:first-child + h2 { margin-top: 0; padding-top: 0; }body > h3:first-child, body > h4:first-child, body > h5:first-child, body > h6:first-child { margin-top: 0; padding-top: 0; }

a:first-child h1, a:first-child h2, a:first-child h3, a:first-child h4, a:first-child h5, a:first-child h6 { margin-top: 0; padding-top: 0; }

h1 p, h2 p, h3 p, h4 p, h5 p, h6 p { margin-top: 0; }

li p.first { display: inline-block; }li { margin: 0; }ul, ol { padding-left: 30px; }

ul :first-child, ol :first-child { margin-top: 0; }

dl { padding: 0; }dl dt { font-size: 14px; font-weight: bold; font-style: italic; padding: 0; margin: 15px 0 5px; }dl dt:first-child { padding: 0; }dl dt > :first-child { margin-top: 0; }dl dt > :last-child { margin-bottom: 0; }dl dd { margin: 0 0 15px; padding: 0 15px; }dl dd > :first-child { margin-top: 0; }dl dd > :last-child { margin-bottom: 0; }

blockquote { border-left: 4px solid #dddddd; padding: 0 15px; color: #777777; }blockquote > :first-child { margin-top: 0; }blockquote > :last-child { margin-bottom: 0; }

table { padding: 0;border-collapse: collapse; }table tr { border-top: 1px solid #cccccc; background-color: white; margin: 0; padding: 0; }table tr:nth-child(2n) { background-color: #f8f8f8; }table tr th { font-weight: bold; border: 1px solid #cccccc; margin: 0; padding: 6px 13px; }table tr td { border: 1px solid #cccccc; margin: 0; padding: 6px 13px; }table tr th :first-child, table tr td :first-child { margin-top: 0; }table tr th :last-child, table tr td :last-child { margin-bottom: 0; }

img { max-width: 100%; }

span.frame { display: block; overflow: hidden; }span.frame > span { border: 1px solid #dddddd; display: block; float: left; overflow: hidden; margin: 13px 0 0; padding: 7px; width: auto; }span.frame span img { display: block; float: left; }span.frame span span { clear: both; color: #333333; display: block; padding: 5px 0 0; }span.align-center { display: block; overflow: hidden; clear: both; }span.align-center > span { display: block; overflow: hidden; margin: 13px auto 0; text-align: center; }span.align-center span img { margin: 0 auto; text-align: center; }span.align-right { display: block; overflow: hidden; clear: both; }span.align-right > span { display: block; overflow: hidden; margin: 13px 0 0; text-align: right; }span.align-right span img { margin: 0; text-align: right; }span.float-left { display: block; margin-right: 13px; overflow: hidden; float: left; }span.float-left span { margin: 13px 0 0; }span.float-right { display: block; margin-left: 13px; overflow: hidden; float: right; }span.float-right > span { display: block; overflow: hidden; margin: 13px auto 0; text-align: right; }

code, tt { margin: 0 2px; padding: 0 5px; white-space: nowrap; border: 1px solid #eaeaea; background-color: #f8f8f8; border-radius: 3px; }

pre code { margin: 0; padding: 0; white-space: pre; border: none; background: transparent; }

.highlight pre { background-color: #f8f8f8; border: 1px solid #cccccc; font-size: 13px; line-height: 19px; overflow: auto; padding: 6px 10px; border-radius: 3px; }

pre { background-color: #f8f8f8; border: 1px solid #cccccc; font-size: 13px; line-height: 19px; overflow: auto; padding: 6px 10px; border-radius: 3px; }pre code, pre tt { background-color: transparent; border: none; }

sup { font-size: 0.83em; vertical-align: super; line-height: 0;}* {! -webkit-print-color-adjust: exact;}@media screen and (min-width: 914px) { body { width: 854px; margin:0 auto; }}@media print {! table, pre {! ! page-break-inside: avoid;! }! pre {! ! word-wrap: break-word;! }}</style>

</head>

<body><h1>Title</h1>

<p>This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the <strong>MD</strong> toolbar button for help on Markdown).</p>

<p>When you click the <strong>Knit HTML</strong> button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:</p>

<pre><code class="r">summary(cars)</code></pre>

<pre><code>## speed dist ## Min. : 4.0 Min. : 2 ## 1st Qu.:12.0 1st Qu.: 26 ## Median :15.0 Median : 36 ## Mean :15.4 Mean : 43 ## 3rd Qu.:19.0 3rd Qu.: 56 ## Max. :25.0 Max. :120</code></pre>

<p>You can also embed plots, for example:</p>

<pre><code class="r">plot(cars)</code></pre>

<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-2"/> </p>

</body>

</html>

test.htmlTitle========================================================



```rsummary(cars)```

```## speed dist ## Min. : 4.0 Min. : 2 ## 1st Qu.:12.0 1st Qu.: 26 ## Median :15.0 Median : 36 ## Mean :15.4 Mean : 43 ## 3rd Qu.:19.0 3rd Qu.: 56 ## Max. :25.0 Max. :120```


```rplot(cars)```

![plot of chunk unnamed-chunk-2](figure/unnamed-chunk-2.png)

test.md

Title========================================================



```{r}summary(cars)```


```{r fig.width=7, fig.height=6}plot(cars)```

test.rmd

<!DOCTYPE html><html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>

<title>Title</title>

<style type="text/css"> pre .operator, pre .paren { color: rgb(104, 118, 135) }

pre .literal { color: rgb(88, 72, 246) }

pre .number { color: rgb(0, 0, 205); }

pre .comment { color: rgb(76, 136, 107); }

pre .keyword { color: rgb(0, 0, 255); }

pre .identifier { color: rgb(0, 0, 0); }

pre .string { color: rgb(3, 106, 7); }</style>

<script type="text/javascript">var hljs=new function(){function m(p){return p.replace(/&/gm,"&").replace(/</gm,"<")}function f(r,q,p){return RegExp(q,"m"+(r.cI?"i":"")+(p?"g":""))}function b(r){for(var p=0;p<r.childNodes.length;p++){var q=r.childNodes[p];if(q.nodeName=="CODE"){return q}if(!(q.nodeType==3&&q.nodeValue.match(/\s+/))){break}}}function h(t,s){var p="";for(var r=0;r<t.childNodes.length;r++){if(t.childNodes[r].nodeType==3){var q=t.childNodes[r].nodeValue;if(s){q=q.replace(/\n/g,"")}p+=q}else{if(t.childNodes[r].nodeName=="BR"){p+="\n"}else{p+=h(t.childNodes[r])}}}if(/MSIE [678]/.test(navigator.userAgent)){p=p.replace(/\r/g,"\n")}return p}function a(s){var r=s.className.split(/\s+/);r=r.concat(s.parentNode.className.split(/\s+/));for(var q=0;q<r.length;q++){var p=r[q].replace(/^language-/,"");if(e[p]){return p}}}function c(q){var p=[];(function(s,t){for(var r=0;r<s.childNodes.length;r++){if(s.childNodes[r].nodeType==3){t+=s.childNodes[r].nodeValue.length}else{if(s.childNodes[r].nodeName=="BR"){t+=1}else{if(s.childNodes[r].nodeType==1){p.push({event:"start",offset:t,node:s.childNodes[r]});t=arguments.callee(s.childNodes[r],t);p.push({event:"stop",offset:t,node:s.childNodes[r]})}}}}return t})(q,0);return p}function k(y,w,x){var q=0;var z="";var s=[];function u(){if(y.length&&w.length){if(y[0].offset!=w[0].offset){return(y[0].offset<w[0].offset)?y:w}else{return w[0].event=="start"?y:w}}else{return y.length?y:w}}function t(D){var A="<"+D.nodeName.toLowerCase();for(var B=0;B<D.attributes.length;B++){var C=D.attributes[B];A+=" "+C.nodeName.toLowerCase();if(C.value!==undefined&&C.value!==false&&C.value!==null){A+='="'+m(C.value)+'"'}}return A+">"}while(y.length||w.length){var v=u().splice(0,1)[0];z+=m(x.substr(q,v.offset-q));q=v.offset;if(v.event=="start"){z+=t(v.node);s.push(v.node)}else{if(v.event=="stop"){var p,r=s.length;do{r--;p=s[r];z+=("</"+p.nodeName.toLowerCase()+">")}while(p!=v.node);s.splice(r,1);while(r<s.length){z+=t(s[r]);r++}}}}return z+m(x.substr(q))}function j(){function q(x,y,v){if(x.compiled){return}var u;var s=[];if(x.k){x.lR=f(y,x.l||hljs.IR,true);for(var w in x.k){if(!x.k.hasOwnProperty(w)){continue}if(x.k[w] instanceof Object){u=x.k[w]}else{u=x.k;w="keyword"}for(var r in u){if(!u.hasOwnProperty(r)){continue}x.k[r]=[w,u[r]];s.push(r)}}}if(!v){if(x.bWK){x.b="\\b("+s.join("|")+")\\s"}x.bR=f(y,x.b?x.b:"\\B|\\b");if(!x.e&&!x.eW){x.e="\\B|\\b"}if(x.e){x.eR=f(y,x.e)}}if(x.i){x.iR=f(y,x.i)}if(x.r===undefined){x.r=1}if(!x.c){x.c=[]}x.compiled=true;for(var t=0;t<x.c.length;t++){if(x.c[t]=="self"){x.c[t]=x}q(x.c[t],y,false)}if(x.starts){q(x.starts,y,false)}}for(var p in e){if(!e.hasOwnProperty(p)){continue}q(e[p].dM,e[p],true)}}function d(B,C){if(!j.called){j();j.called=true}function q(r,M){for(var L=0;L<M.c.length;L++){if((M.c[L].bR.exec(r)||[null])[0]==r){return M.c[L]}}}function v(L,r){if(D[L].e&&D[L].eR.test(r)){return 1}if(D[L].eW){var M=v(L-1,r);return M?M+1:0}return 0}function w(r,L){return L.i&&L.iR.test(r)}function K(N,O){var M=[];for(var L=0;L<N.c.length;L++){M.push(N.c[L].b)}var r=D.length-1;do{if(D[r].e){M.push(D[r].e)}r--}while(D[r+1].eW);if(N.i){M.push(N.i)}return f(O,M.join("|"),true)}function p(M,L){var N=D[D.length-1];if(!N.t){N.t=K(N,E)}N.t.lastIndex=L;var r=N.t.exec(M);return r?[M.substr(L,r.index-L),r[0],false]:[M.substr(L),"",true]}function z(N,r){var L=E.cI?r[0].toLowerCase():r[0];var M=N.k[L];if(M&&M instanceof Array){return M}return false}function F(L,P){L=m(L);if(!P.k){return L}var r="";var O=0;P.lR.lastIndex=0;var M=P.lR.exec(L);while(M){r+=L.substr(O,M.index-O);var N=z(P,M);if(N){x+=N[1];r+='<span class="'+N[0]+'">'+M[0]+"</span>"}else{r+=M[0]}O=P.lR.lastIndex;M=P.lR.exec(L)}return r+L.substr(O,L.length-O)}function J(L,M){if(M.sL&&e[M.sL]){var r=d(M.sL,L);x+=r.keyword_count;return r.value}else{return F(L,M)}}function I(M,r){var L=M.cN?'<span class="'+M.cN+'">':"";if(M.rB){y+=L;M.buffer=""}else{if(M.eB){y+=m(r)+L;M.buffer=""}else{y+=L;M.buffer=r}}D.push(M);A+=M.r}function G(N,M,Q){var R=D[D.length-1];if(Q){y+=J(R.buffer+N,R);return false}var P=q(M,R);if(P){y+=J(R.buffer+N,R);I(P,M);return P.rB}var L=v(D.length-1,M);if(L){var O=R.cN?"</span>":"";if(R.rE){y+=J(R.buffer+N,R)+O}else{if(R.eE){y+=J(R.buffer+N,R)+O+m(M)}else{y+=J(R.buffer+N+M,R)+O}}while(L>1){O=D[D.length-2].cN?"</span>":"";y+=O;L--;D.length--}var r=D[D.length-1];D.length--;D[D.length-1].buffer="";if(r.starts){I(r.starts,"")}return R.rE}if(w(M,R)){throw"Illegal"}}var E=e[B];var D=[E.dM];var A=0;var x=0;var y="";try{var s,u=0;E.dM.buffer="";do{s=p(C,u);var t=G(s[0],s[1],s[2]);u+=s[0].length;if(!t){u+=s[1].length}}while(!s[2]);if(D.length>1){throw"Illegal"}return{r:A,keyword_count:x,value:y}}catch(H){if(H=="Illegal"){return{r:0,keyword_count:0,value:m(C)}}else{throw H}}}function g(t){var p={keyword_count:0,r:0,value:m(t)};var r=p;for(var q in e){if(!e.hasOwnProperty(q)){continue}var s=d(q,t);s.language=q;if(s.keyword_count+s.r>r.keyword_count+r.r){r=s}if(s.keyword_count+s.r>p.keyword_count+p.r){r=p;p=s}}if(r.language){p.second_best=r}return p}function i(r,q,p){if(q){r=r.replace(/^((<[^>]+>|\t)+)/gm,function(t,w,v,u){return w.replace(/\t/g,q)})}if(p){r=r.replace(/\n/g,"<br>")}return r}function n(t,w,r){var x=h(t,r);var v=a(t);var y,s;if(v){y=d(v,x)}else{return}var q=c(t);if(q.length){s=document.createElement("pre");s.innerHTML=y.value;y.value=k(q,c(s),x)}y.value=i(y.value,w,r);var u=t.className;if(!u.match("(\\s|^)(language-)?"+v+"(\\s|$)")){u=u?(u+" "+v):v}if(/MSIE [678]/.test(navigator.userAgent)&&t.tagName=="CODE"&&t.parentNode.tagName=="PRE"){s=t.parentNode;var p=document.createElement("div");p.innerHTML="<pre><code>"+y.value+"</code></pre>";t=p.firstChild.firstChild;p.firstChild.cN=s.cN;s.parentNode.replaceChild(p.firstChild,s)}else{t.innerHTML=y.value}t.className=u;t.result={language:v,kw:y.keyword_count,re:y.r};if(y.second_best){t.second_best={language:y.second_best.language,kw:y.second_best.keyword_count,re:y.second_best.r}}}function o(){if(o.called){return}o.called=true;var r=document.getElementsByTagName("pre");for(var p=0;p<r.length;p++){var q=b(r[p]);if(q){n(q,hljs.tabReplace)}}}function l(){if(window.addEventListener){window.addEventListener("DOMContentLoaded",o,false);window.addEventListener("load",o,false)}else{if(window.attachEvent){window.attachEvent("onload",o)}else{window.onload=o}}}var e={};this.LANGUAGES=e;this.highlight=d;this.highlightAuto=g;this.fixMarkup=i;this.highlightBlock=n;this.initHighlighting=o;this.initHighlightingOnLoad=l;this.IR="[a-zA-Z][a-zA-Z0-9_]*";this.UIR="[a-zA-Z_][a-zA-Z0-9_]*";this.NR="\\b\\d+(\\.\\d+)?";this.CNR="\\b(0[xX][a-fA-F0-9]+|(\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)";this.BNR="\\b(0b[01]+)";this.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|\\.|-|-=|/|/=|:|;|<|<<|<<=|<=|=|==|===|>|>=|>>|>>=|>>>|>>>=|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~";this.ER="(?![\\s\\S])";this.BE={b:"\\\\.",r:0};this.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[this.BE],r:0};this.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[this.BE],r:0};this.CLCM={cN:"comment",b:"//",e:"$"};this.CBLCLM={cN:"comment",b:"/\\*",e:"\\*/"};this.HCM={cN:"comment",b:"#",e:"$"};this.NM={cN:"number",b:this.NR,r:0};this.CNM={cN:"number",b:this.CNR,r:0};this.BNM={cN:"number",b:this.BNR,r:0};this.inherit=function(r,s){var p={};for(var q in r){p[q]=r[q]}if(s){for(var q in s){p[q]=s[q]}}return p}}();hljs.LANGUAGES.cpp=function(){var a={keyword:{"false":1,"int":1,"float":1,"while":1,"private":1,"char":1,"catch":1,"export":1,virtual:1,operator:2,sizeof:2,dynamic_cast:2,typedef:2,const_cast:2,"const":1,struct:1,"for":1,static_cast:2,union:1,namespace:1,unsigned:1,"long":1,"throw":1,"volatile":2,"static":1,"protected":1,bool:1,template:1,mutable:1,"if":1,"public":1,friend:2,"do":1,"return":1,"goto":1,auto:1,"void":2,"enum":1,"else":1,"break":1,"new":1,extern:1,using:1,"true":1,"class":1,asm:1,"case":1,typeid:1,"short":1,reinterpret_cast:2,"default":1,"double":1,register:1,explicit:1,signed:1,typename:1,"try":1,"this":1,"switch":1,"continue":1,wchar_t:1,inline:1,"delete":1,alignof:1,char16_t:1,char32_t:1,constexpr:1,decltype:1,noexcept:1,nullptr:1,static_assert:1,thread_local:1,restrict:1,_Bool:1,complex:1},built_in:{std:1,string:1,cin:1,cout:1,cerr:1,clog:1,stringstream:1,istringstream:1,ostringstream:1,auto_ptr:1,deque:1,list:1,queue:1,stack:1,vector:1,map:1,set:1,bitset:1,multiset:1,multimap:1,unordered_set:1,unordered_map:1,unordered_multiset:1,unordered_multimap:1,array:1,shared_ptr:1}};return{dM:{k:a,i:"</",c:[hljs.CLCM,hljs.CBLCLM,hljs.QSM,{cN:"string",b:"'\\\\?.",e:"'",i:"."},{cN:"number",b:"\\b(\\d+(\\.\\d*)?|\\.\\d+)(u|U|l|L|ul|UL|f|F)"},hljs.CNM,{cN:"preprocessor",b:"#",e:"$"},{cN:"stl_container",b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:a,r:10,c:["self"]}]}}}();hljs.LANGUAGES.r={dM:{c:[hljs.HCM,{cN:"number",b:"\\b0[xX][0-9a-fA-F]+[Li]?\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\b\\d+(?:[eE][+\\-]?\\d*)?L\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\b\\d+\\.(?!\\d)(?:i\\b)?",e:hljs.IMMEDIATE_RE,r:1},{cN:"number",b:"\\b\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"keyword",b:"(?:tryCatch|library|setGeneric|setGroupGeneric)\\b",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\.\\.\\.",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\.\\.\\d+(?![\\w.])",e:hljs.IMMEDIATE_RE,r:10},{cN:"keyword",b:"\\b(?:function)",e:hljs.IMMEDIATE_RE,r:2},{cN:"keyword",b:"(?:if|in|break|next|repeat|else|for|return|switch|while|try|stop|warning|require|attach|detach|source|setMethod|setClass)\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"literal",b:"(?:NA|NA_integer_|NA_real_|NA_character_|NA_complex_)\\b",e:hljs.IMMEDIATE_RE,r:10},{cN:"literal",b:"(?:NULL|TRUE|FALSE|T|F|Inf|NaN)\\b",e:hljs.IMMEDIATE_RE,r:1},{cN:"identifier",b:"[a-zA-Z.][a-zA-Z0-9._]*\\b",e:hljs.IMMEDIATE_RE,r:0},{cN:"operator",b:"<\\-(?!\\s*\\d)",e:hljs.IMMEDIATE_RE,r:2},{cN:"operator",b:"\\->|<\\-",e:hljs.IMMEDIATE_RE,r:1},{cN:"operator",b:"%%|~",e:hljs.IMMEDIATE_RE},{cN:"operator",b:">=|<=|==|!=|\\|\\||&&|=|\\+|\\-|\\*|/|\\^|>|<|!|&|\\||\\$|:",e:hljs.IMMEDIATE_RE,r:0},{cN:"operator",b:"%",e:"%",i:"\\n",r:1},{cN:"identifier",b:"`",e:"`",r:0},{cN:"string",b:'"',e:'"',c:[hljs.BE],r:0},{cN:"string",b:"'",e:"'",c:[hljs.BE],r:0},{cN:"paren",b:"[[({\\])}]",e:hljs.IMMEDIATE_RE,r:0}]}};hljs.initHighlightingOnLoad();</script>

<script type="text/javascript" src="https://c328740.ssl.cf1.rackcdn.com/mathjax/2.0-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>

<style type="text/css">body { font-family: Helvetica, arial, sans-serif; font-size: 14px; line-height: 1.6; padding-top: 10px; padding-bottom: 10px; background-color: white; padding: 30px; }

body > *:first-child { margin-top: 0 !important; }body > *:last-child { margin-bottom: 0 !important; }

a { color: #4183C4; }a.absent { color: #cc0000; }a.anchor { display: block; padding-left: 30px; margin-left: -30px; cursor: pointer; position: absolute; top: 0; left: 0; bottom: 0; }

h1, h2, h3, h4, h5, h6 { margin: 20px 0 10px; padding: 0; font-weight: bold; -webkit-font-smoothing: antialiased; cursor: text; position: relative; }

h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor, h5:hover a.anchor, h6:hover a.anchor { text-decoration: none; }







h1 { font-size: 28px; color: black; }

h2 { font-size: 24px; border-bottom: 1px solid #cccccc; color: black; }




h6 { color: #777777; font-size: 14px; }

p, blockquote, ul, ol, dl, li, table, pre { margin: 15px 0; }

hr { border: 0 none; color: #cccccc; height: 4px; padding: 0;}

body > h2:first-child { margin-top: 0; padding-top: 0; }body > h1:first-child { margin-top: 0; padding-top: 0; }body > h1:first-child + h2 { margin-top: 0; padding-top: 0; }body > h3:first-child, body > h4:first-child, body > h5:first-child, body > h6:first-child { margin-top: 0; padding-top: 0; }

a:first-child h1, a:first-child h2, a:first-child h3, a:first-child h4, a:first-child h5, a:first-child h6 { margin-top: 0; padding-top: 0; }

h1 p, h2 p, h3 p, h4 p, h5 p, h6 p { margin-top: 0; }

li p.first { display: inline-block; }li { margin: 0; }ul, ol { padding-left: 30px; }

ul :first-child, ol :first-child { margin-top: 0; }

dl { padding: 0; }dl dt { font-size: 14px; font-weight: bold; font-style: italic; padding: 0; margin: 15px 0 5px; }dl dt:first-child { padding: 0; }dl dt > :first-child { margin-top: 0; }dl dt > :last-child { margin-bottom: 0; }dl dd { margin: 0 0 15px; padding: 0 15px; }dl dd > :first-child { margin-top: 0; }dl dd > :last-child { margin-bottom: 0; }

blockquote { border-left: 4px solid #dddddd; padding: 0 15px; color: #777777; }blockquote > :first-child { margin-top: 0; }blockquote > :last-child { margin-bottom: 0; }

table { padding: 0;border-collapse: collapse; }table tr { border-top: 1px solid #cccccc; background-color: white; margin: 0; padding: 0; }table tr:nth-child(2n) { background-color: #f8f8f8; }table tr th { font-weight: bold; border: 1px solid #cccccc; margin: 0; padding: 6px 13px; }table tr td { border: 1px solid #cccccc; margin: 0; padding: 6px 13px; }table tr th :first-child, table tr td :first-child { margin-top: 0; }table tr th :last-child, table tr td :last-child { margin-bottom: 0; }

img { max-width: 100%; }

span.frame { display: block; overflow: hidden; }span.frame > span { border: 1px solid #dddddd; display: block; float: left; overflow: hidden; margin: 13px 0 0; padding: 7px; width: auto; }span.frame span img { display: block; float: left; }span.frame span span { clear: both; color: #333333; display: block; padding: 5px 0 0; }span.align-center { display: block; overflow: hidden; clear: both; }span.align-center > span { display: block; overflow: hidden; margin: 13px auto 0; text-align: center; }span.align-center span img { margin: 0 auto; text-align: center; }span.align-right { display: block; overflow: hidden; clear: both; }span.align-right > span { display: block; overflow: hidden; margin: 13px 0 0; text-align: right; }span.align-right span img { margin: 0; text-align: right; }span.float-left { display: block; margin-right: 13px; overflow: hidden; float: left; }span.float-left span { margin: 13px 0 0; }span.float-right { display: block; margin-left: 13px; overflow: hidden; float: right; }span.float-right > span { display: block; overflow: hidden; margin: 13px auto 0; text-align: right; }

code, tt { margin: 0 2px; padding: 0 5px; white-space: nowrap; border: 1px solid #eaeaea; background-color: #f8f8f8; border-radius: 3px; }

pre code { margin: 0; padding: 0; white-space: pre; border: none; background: transparent; }

.highlight pre { background-color: #f8f8f8; border: 1px solid #cccccc; font-size: 13px; line-height: 19px; overflow: auto; padding: 6px 10px; border-radius: 3px; }

pre { background-color: #f8f8f8; border: 1px solid #cccccc; font-size: 13px; line-height: 19px; overflow: auto; padding: 6px 10px; border-radius: 3px; }pre code, pre tt { background-color: transparent; border: none; }

sup { font-size: 0.83em; vertical-align: super; line-height: 0;}* {! -webkit-print-color-adjust: exact;}@media screen and (min-width: 914px) { body { width: 854px; margin:0 auto; }}@media print {! table, pre {! ! page-break-inside: avoid;! }! pre {! ! word-wrap: break-word;! }}</style>

</head>

<body><h1>Title</h1>

<p>This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the <strong>MD</strong> toolbar button for help on Markdown).</p>

<p>When you click the <strong>Knit HTML</strong> button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:</p>

<pre><code class="r">summary(cars)</code></pre>

<pre><code>## speed dist ## Min. : 4.0 Min. : 2 ## 1st Qu.:12.0 1st Qu.: 26 ## Median :15.0 Median : 36 ## Mean :15.4 Mean : 43 ## 3rd Qu.:19.0 3rd Qu.: 56 ## Max. :25.0 Max. :120</code></pre>

<p>You can also embed plots, for example:</p>

<pre><code class="r">plot(cars)</code></pre>

<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-2"/> </p>

</body>

</html>

test.htmlWhich would you rather read and write?

knit2html() function from knitr package does R Markdown to HTML conversion, i.e. hides the two separate steps

RStudio’s Knit HTML button does practically the same thing

Admire, publish, etc. as you did before with the “notebook” you compiled from a plain .R script.


What a finished piece of coursework will look like:

a readable report, posted on the web; default is to use Rpubs

+

a .R or .Rmd file, posted on the web; default is to publish as a gist

+

a line in course repository giving your name and links

=


https://gist.github.com

https://gist.github.com

Instructions for how to submit coursework.Draft exists. Will be revised today.


stat 545a class meeting #3 wednesday, september 11, 2013jenny/stat545a/2013-lectures/cm...stat 545a...

Documents