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Functions and Datasets for the Book by Keon-Woong Moon

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myhtml: Export to html file for class "mytable" or "cbind.mytable" of...

myhtml: Export to html file for class "mytable" or "cbind.mytable" of...
In moonBook: Functions and Datasets for the Book by Keon-Woong Moon

Description Usage Arguments Methods (by class) Examples

View source: R/myhtml.R

Description

Export to html file for class "mytable" or "cbind.mytable" of "data.frame"

Usage

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myhtml(x, caption = NULL, rownames = TRUE)

## Default S3 method:
myhtml(x, caption = NULL, rownames = TRUE)

## S3 method for class 'mytable'
myhtml(x, caption = NULL, rownames = TRUE)

## S3 method for class 'cbind.mytable'
myhtml(x, caption = NULL, rownames = TRUE)

Arguments

x

An object of class "mytable" or "cbind.mytable"

caption

A character

rownames

A logical value whether or not include rownames in table

Methods (by class)

Examples

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require(moonBook)
res=mytable(sex~age+Dx,data=acs)
myhtml(res)
res1=mytable(sex+Dx~.,data=acs)
myhtml(res1)
x=head(iris)
myhtml(x)
myhtml(x,caption="Table 1. myhtml Test")
myhtml(x,caption="Table 1. myhtml Test",rownames=FALSE)

Example output

<head><style>
        table, th, td {
        border: 1px solid #bcbcbc;
    } </style></head>
<table cellpadding=10 cellspacing=5><caption>Descriptive Statistics by 'sex'</caption><tr>
<th>sex</th><th>Female<br/>(N=287)</th><th>Male<br/>(N=570)</th><th>p</th></tr>
<tr><td>age                </td><td>68.7 <U+00B1> 10.7</td><td>60.6 <U+00B1> 11.2</td><td>0.000</td></tr>
<tr><td>Dx                 </td><td></td><td></td><td>0.012</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; NSTEMI         </td><td>50 (17.4%)</td><td>103 (18.1%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; STEMI          </td><td>84 (29.3%)</td><td>220 (38.6%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Unstable Angina</td><td>153 (53.3%)</td><td>247 (43.3%)</td><td></td></tr>
</table>
<head><style>
        table, th, td {
        border: 1px solid #bcbcbc;
    } </style></head>
<table cellpadding=5 cellspacing=5>
<caption>Descriptive Statistics stratified by sex and Dx</caption>
<tr>
<th>sex</th><th colspan="4">Male</th><th colspan="4">Female</th></tr>
<tr>
<th>Dx</th><th>NSTEMI<br/>(N=103)</th><th>STEMI<br/>(N=220)</th><th>Unstable Angina<br/>(N=247)</th><th>p</th><th>NSTEMI<br/>(N=50)</th><th>STEMI<br/>(N=84)</th><th>Unstable Angina<br/>(N=153)</th><th>p</th></tr>
<tr><td>age             </td><td>61.1 <U+00B1> 11.6</td><td>59.4 <U+00B1> 11.7</td><td>61.4 <U+00B1> 10.6</td><td>0.133</td><td>70.9 <U+00B1> 11.4</td><td>69.1 <U+00B1> 10.4</td><td>67.7 <U+00B1> 10.7</td><td>0.177</td></tr>
<tr><td>cardiogenicShock</td><td></td><td></td><td></td><td>0.000</td><td></td><td></td><td></td><td>0.000</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; No          </td><td>100 (97.1%)</td><td>183 (83.2%)</td><td>247 (100.0%)</td><td></td><td>49 (98.0%)</td><td>73 (86.9%)</td><td>153 (100.0%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Yes         </td><td>3 ( 2.9%)</td><td>37 (16.8%)</td><td>0 ( 0.0%)</td><td></td><td>1 ( 2.0%)</td><td>11 (13.1%)</td><td>0 ( 0.0%)</td><td></td></tr>
<tr><td>entry           </td><td></td><td></td><td></td><td>0.022</td><td></td><td></td><td></td><td>0.013</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Femoral     </td><td>36 (35.0%)</td><td>88 (40.0%)</td><td>69 (27.9%)</td><td></td><td>22 (44.0%)</td><td>45 (53.6%)</td><td>52 (34.0%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Radial      </td><td>67 (65.0%)</td><td>132 (60.0%)</td><td>178 (72.1%)</td><td></td><td>28 (56.0%)</td><td>39 (46.4%)</td><td>101 (66.0%)</td><td></td></tr>
<tr><td>EF              </td><td>55.1 <U+00B1>  9.4</td><td>52.4 <U+00B1>  8.9</td><td>59.1 <U+00B1>  8.7</td><td>0.000</td><td>54.8 <U+00B1>  9.1</td><td>52.3 <U+00B1> 10.9</td><td>59.4 <U+00B1>  8.8</td><td>0.000</td></tr>
<tr><td>height          </td><td>167.5 <U+00B1>  5.7</td><td>168.7 <U+00B1>  6.0</td><td>167.3 <U+00B1>  6.4</td><td>0.055</td><td>154.2 <U+00B1>  5.1</td><td>155.7 <U+00B1>  5.4</td><td>152.6 <U+00B1>  6.7</td><td>0.002</td></tr>
<tr><td>weight          </td><td>67.5 <U+00B1>  8.4</td><td>68.8 <U+00B1> 10.9</td><td>69.0 <U+00B1> 10.6</td><td>0.479</td><td>57.2 <U+00B1> 10.3</td><td>57.4 <U+00B1>  9.0</td><td>57.1 <U+00B1>  9.1</td><td>0.978</td></tr>
<tr><td>BMI             </td><td>24.1 <U+00B1>  2.6</td><td>24.1 <U+00B1>  3.4</td><td>24.6 <U+00B1>  3.4</td><td>0.205</td><td>24.1 <U+00B1>  4.3</td><td>23.6 <U+00B1>  3.2</td><td>24.5 <U+00B1>  3.5</td><td>0.215</td></tr>
<tr><td>obesity         </td><td></td><td></td><td></td><td>0.301</td><td></td><td></td><td></td><td>0.528</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; No          </td><td>71 (68.9%)</td><td>149 (67.7%)</td><td>153 (61.9%)</td><td></td><td>35 (70.0%)</td><td>60 (71.4%)</td><td>99 (64.7%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Yes         </td><td>32 (31.1%)</td><td>71 (32.3%)</td><td>94 (38.1%)</td><td></td><td>15 (30.0%)</td><td>24 (28.6%)</td><td>54 (35.3%)</td><td></td></tr>
<tr><td>TC              </td><td>192.6 <U+00B1> 54.3</td><td>184.1 <U+00B1> 42.6</td><td>178.7 <U+00B1> 44.6</td><td>0.036</td><td>196.3 <U+00B1> 52.7</td><td>180.7 <U+00B1> 45.7</td><td>191.1 <U+00B1> 53.1</td><td>0.192</td></tr>
<tr><td>LDLC            </td><td>125.4 <U+00B1> 47.1</td><td>118.9 <U+00B1> 39.1</td><td>109.5 <U+00B1> 39.2</td><td>0.002</td><td>127.7 <U+00B1> 39.5</td><td>111.0 <U+00B1> 40.0</td><td>118.3 <U+00B1> 41.8</td><td>0.088</td></tr>
<tr><td>HDLC            </td><td>38.4 <U+00B1> 10.9</td><td>38.1 <U+00B1> 10.9</td><td>37.4 <U+00B1> 10.9</td><td>0.655</td><td>40.1 <U+00B1> 13.8</td><td>39.5 <U+00B1> 11.2</td><td>38.5 <U+00B1> 10.8</td><td>0.627</td></tr>
<tr><td>TG              </td><td>138.0 <U+00B1> 100.2</td><td>104.3 <U+00B1> 65.5</td><td>144.3 <U+00B1> 114.2</td><td>0.000</td><td>112.5 <U+00B1> 51.1</td><td>112.3 <U+00B1> 87.2</td><td>126.3 <U+00B1> 76.0</td><td>0.316</td></tr>
<tr><td>DM              </td><td></td><td></td><td></td><td>0.219</td><td></td><td></td><td></td><td>0.240</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; No          </td><td>71 (68.9%)</td><td>154 (70.0%)</td><td>155 (62.8%)</td><td></td><td>25 (50.0%)</td><td>54 (64.3%)</td><td>94 (61.4%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Yes         </td><td>32 (31.1%)</td><td>66 (30.0%)</td><td>92 (37.2%)</td><td></td><td>25 (50.0%)</td><td>30 (35.7%)</td><td>59 (38.6%)</td><td></td></tr>
<tr><td>HBP             </td><td></td><td></td><td></td><td>0.016</td><td></td><td></td><td></td><td>0.084</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; No          </td><td>43 (41.7%)</td><td>122 (55.5%)</td><td>108 (43.7%)</td><td></td><td>19 (38.0%)</td><td>28 (33.3%)</td><td>36 (23.5%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Yes         </td><td>60 (58.3%)</td><td>98 (44.5%)</td><td>139 (56.3%)</td><td></td><td>31 (62.0%)</td><td>56 (66.7%)</td><td>117 (76.5%)</td><td></td></tr>
<tr><td>smoking         </td><td></td><td></td><td></td><td>0.002</td><td></td><td></td><td></td><td>0.184</td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Ex-smoker   </td><td>34 (33.0%)</td><td>53 (24.1%)</td><td>68 (27.5%)</td><td></td><td>8 (16.0%)</td><td>13 (15.5%)</td><td>28 (18.3%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Never       </td><td>13 (12.6%)</td><td>40 (18.2%)</td><td>70 (28.3%)</td><td></td><td>37 (74.0%)</td><td>57 (67.9%)</td><td>115 (75.2%)</td><td></td></tr>
<tr><td> &nbsp;&nbsp;&nbsp; Smoker      </td><td>56 (54.4%)</td><td>127 (57.7%)</td><td>109 (44.1%)</td><td></td><td>5 (10.0%)</td><td>14 (16.7%)</td><td>10 ( 6.5%)</td><td></td></tr>
</table>
myhtml function only applicable to data.frame, mytable or cbind.mytable
myhtml function only applicable to data.frame, mytable or cbind.mytable
myhtml function only applicable to data.frame, mytable or cbind.mytable

moonBook documentation built on Jan. 5, 2022, 9:06 a.m.

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