forked from rdpeng/RepData_PeerAssessment1
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathPA1_template.html
More file actions
296 lines (219 loc) · 144 KB
/
PA1_template.html
File metadata and controls
296 lines (219 loc) · 144 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
<!DOCTYPE html>
<!-- saved from url=(0014)about:internet -->
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<meta http-equiv="x-ua-compatible" content="IE=9" >
<title>Reproducible Research: Peer Assessment 1</title>
<style type="text/css">
body, td {
font-family: sans-serif;
background-color: white;
font-size: 12px;
margin: 8px;
}
tt, code, pre {
font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace;
}
h1 {
font-size:2.2em;
}
h2 {
font-size:1.8em;
}
h3 {
font-size:1.4em;
}
h4 {
font-size:1.0em;
}
h5 {
font-size:0.9em;
}
h6 {
font-size:0.8em;
}
a:visited {
color: rgb(50%, 0%, 50%);
}
pre {
margin-top: 0;
max-width: 95%;
border: 1px solid #ccc;
white-space: pre-wrap;
}
pre code {
display: block; padding: 0.5em;
}
code.r, code.cpp {
background-color: #F8F8F8;
}
table, td, th {
border: none;
}
blockquote {
color:#666666;
margin:0;
padding-left: 1em;
border-left: 0.5em #EEE solid;
}
hr {
height: 0px;
border-bottom: none;
border-top-width: thin;
border-top-style: dotted;
border-top-color: #999999;
}
@media print {
* {
background: transparent !important;
color: black !important;
filter:none !important;
-ms-filter: none !important;
}
body {
font-size:12pt;
max-width:100%;
}
a, a:visited {
text-decoration: underline;
}
hr {
visibility: hidden;
page-break-before: always;
}
pre, blockquote {
padding-right: 1em;
page-break-inside: avoid;
}
tr, img {
page-break-inside: avoid;
}
img {
max-width: 100% !important;
}
@page :left {
margin: 15mm 20mm 15mm 10mm;
}
@page :right {
margin: 15mm 10mm 15mm 20mm;
}
p, h2, h3 {
orphans: 3; widows: 3;
}
h2, h3 {
page-break-after: avoid;
}
}
</style>
<!-- Styles for R syntax highlighter -->
<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>
<!-- R syntax highlighter -->
<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>
</head>
<body>
<h1>Reproducible Research: Peer Assessment 1</h1>
<h2>Loading and preprocessing the data</h2>
<pre><code class="r">act_table <- read.csv("./activity.csv", header = T)
</code></pre>
<h2>What is mean total number of steps taken per day?</h2>
<pre><code class="r">tmp_table <- aggregate(act_table$steps, by = list(Category = act_table$date),
FUN = sum)
colnames(tmp_table) <- c("date", "steps")
hist(tmp_table$steps, main = "Histogram of total daily steps", xlab = "Total daily steps")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-2"/> </p>
<pre><code class="r">mean(as.vector(tmp_table[, 2]), na.rm = T)
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<pre><code class="r">median(as.vector(tmp_table[, 2]), na.rm = T)
</code></pre>
<pre><code>## [1] 10765
</code></pre>
<h2>What is the average daily activity pattern?</h2>
<pre><code class="r">tmp_table <- aggregate(act_table$steps, by = list(Category = act_table$interval),
FUN = mean, na.rm = T, na.action = NULL)
colnames(tmp_table) <- c("interval", "average steps")
plot(tmp_table, type = "l")
title("Average Daily Steps per Interval")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-3"/> </p>
<p>5-minute interval containing on average across all the days the maximum number of steps</p>
<pre><code class="r">tmp_table[tmp_table$"average steps" == max(tmp_table$"average steps"), ]
</code></pre>
<pre><code>## interval average steps
## 104 835 206.2
</code></pre>
<h2>Imputing missing values</h2>
<ul>
<li>Number of missing values is: </li>
</ul>
<pre><code class="r">sum(is.na(act_table$steps))
</code></pre>
<pre><code>## [1] 2304
</code></pre>
<ul>
<li>Create a new table and replace the NAs in the new table with interval medians</li>
</ul>
<pre><code class="r">cp_table <- act_table
for (i in 1:nrow(tmp_table)) {
cp_table[is.na(cp_table$step) & cp_table$interval == tmp_table[i, 1], 1] <- round(tmp_table[i,
2], 2)
}
tmp_table <- aggregate(cp_table$steps, by = list(Category = cp_table$date),
FUN = sum)
colnames(tmp_table) <- c("date", "steps")
hist(tmp_table$steps, main = "Histogram of total daily steps", xlab = "Total daily steps")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-6"/> </p>
<p>The mean and the median stay approximately the same</p>
<pre><code class="r">mean(as.vector(tmp_table[, 2]))
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<pre><code class="r">median(as.vector(tmp_table[, 2]))
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<h2>Are there differences in activity patterns between weekdays and weekends?</h2>
<pre><code class="r">library(lattice)
cp_table["Weekdays"] <- "Weekday"
cp_table[weekdays(as.Date(cp_table$date)) %in% c("Saturday", "Sunday"), 4] <- "Weekend"
tmp_table <- aggregate(cp_table$steps, by = list(interval = cp_table$interval,
Weekdays = cp_table$Weekdays), FUN = mean)
colnames(tmp_table) <- c(colnames(tmp_table)[1:2], "steps")
agg_table <- transform(tmp_table, Weekdays = factor(Weekdays))
xyplot(steps ~ interval | Weekdays, data = agg_table, layout = c(1, 2), type = "l")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-8"/> </p>
<pre><code class="r">
</code></pre>
</body>
</html>