block by ramnathv 7930511

rCharts with Slidify

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index.html

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  <title>rCharts with Slidify</title>
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<h2>rCharts with Slidify</h2>

</section>
<section class='class' data-state='' id='id'>
  <h2>rPlot</h2>
  <pre><code class="r">library(rCharts)
r1 &lt;- rPlot(mpg ~ wt | gear, data = mtcars, type = &#39;point&#39;)
r1
</code></pre>

<iframe src=chart1.html seamless></iframe>

</section>
<section class='' data-state='' id='slide-3'>
  <h2>nPlot</h2>
  <pre><code class="r">hair_eye_male = subset(as.data.frame(HairEyeColor), Sex == &quot;Male&quot;)
n1 &lt;- nPlot(Freq ~ Hair, group = &#39;Eye&#39;, 
    data = hair_eye_male, type = &#39;multiBarChart&#39;)
n1
</code></pre>

<iframe src=chart2.html seamless></iframe>

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chart1.html

<!doctype HTML>
<meta charset = 'utf-8'>
<html>
  <head>
    
    <script src='//ramnathv.github.io/rCharts/libraries/widgets/polycharts/js/polychart2.standalone.js' type='text/javascript'></script>
    
    <style>
    .rChart {
      display: block;
      margin-left: auto; 
      margin-right: auto;
      width: 800px;
      height: 400px;
    }  
    </style>
    
  </head>
  <body>
    <div id='chart349d76a70968' class='rChart polycharts'></div>  
    
    <script type='text/javascript'>
    var chartParams = {
 "dom": "chart349d76a70968",
"width":    800,
"height":    400,
"layers": [
 {
 "x": "wt",
"y": "mpg",
"data": {
 "mpg": [     21,     21,   22.8,   21.4,   18.7,   18.1,   14.3,   24.4,   22.8,   19.2,   17.8,   16.4,   17.3,   15.2,   10.4,   10.4,   14.7,   32.4,   30.4,   33.9,   21.5,   15.5,   15.2,   13.3,   19.2,   27.3,     26,   30.4,   15.8,   19.7,     15,   21.4 ],
"cyl": [      6,      6,      4,      6,      8,      6,      8,      4,      4,      6,      6,      8,      8,      8,      8,      8,      8,      4,      4,      4,      4,      8,      8,      8,      8,      4,      4,      4,      8,      6,      8,      4 ],
"disp": [    160,    160,    108,    258,    360,    225,    360,  146.7,  140.8,  167.6,  167.6,  275.8,  275.8,  275.8,    472,    460,    440,   78.7,   75.7,   71.1,  120.1,    318,    304,    350,    400,     79,  120.3,   95.1,    351,    145,    301,    121 ],
"hp": [    110,    110,     93,    110,    175,    105,    245,     62,     95,    123,    123,    180,    180,    180,    205,    215,    230,     66,     52,     65,     97,    150,    150,    245,    175,     66,     91,    113,    264,    175,    335,    109 ],
"drat": [    3.9,    3.9,   3.85,   3.08,   3.15,   2.76,   3.21,   3.69,   3.92,   3.92,   3.92,   3.07,   3.07,   3.07,   2.93,      3,   3.23,   4.08,   4.93,   4.22,    3.7,   2.76,   3.15,   3.73,   3.08,   4.08,   4.43,   3.77,   4.22,   3.62,   3.54,   4.11 ],
"wt": [   2.62,  2.875,   2.32,  3.215,   3.44,   3.46,   3.57,   3.19,   3.15,   3.44,   3.44,   4.07,   3.73,   3.78,   5.25,  5.424,  5.345,    2.2,  1.615,  1.835,  2.465,   3.52,  3.435,   3.84,  3.845,  1.935,   2.14,  1.513,   3.17,   2.77,   3.57,   2.78 ],
"qsec": [  16.46,  17.02,  18.61,  19.44,  17.02,  20.22,  15.84,     20,   22.9,   18.3,   18.9,   17.4,   17.6,     18,  17.98,  17.82,  17.42,  19.47,  18.52,   19.9,  20.01,  16.87,   17.3,  15.41,  17.05,   18.9,   16.7,   16.9,   14.5,   15.5,   14.6,   18.6 ],
"vs": [      0,      0,      1,      1,      0,      1,      0,      1,      1,      1,      1,      0,      0,      0,      0,      0,      0,      1,      1,      1,      1,      0,      0,      0,      0,      1,      0,      1,      0,      0,      0,      1 ],
"am": [      1,      1,      1,      0,      0,      0,      0,      0,      0,      0,      0,      0,      0,      0,      0,      0,      0,      1,      1,      1,      0,      0,      0,      0,      0,      1,      1,      1,      1,      1,      1,      1 ],
"gear": [      4,      4,      4,      3,      3,      3,      3,      4,      4,      4,      4,      3,      3,      3,      3,      3,      3,      4,      4,      4,      3,      3,      3,      3,      3,      4,      5,      5,      5,      5,      5,      4 ],
"carb": [      4,      4,      1,      1,      2,      1,      4,      2,      2,      4,      4,      3,      3,      3,      4,      4,      4,      1,      2,      1,      1,      2,      2,      4,      2,      1,      2,      2,      4,      6,      8,      2 ] 
},
"facet": "gear",
"type": "point" 
} 
],
"facet": {
 "type": "wrap",
"var": "gear" 
},
"guides": [],
"coord": [],
"id": "chart349d76a70968" 
}
    _.each(chartParams.layers, function(el){
        el.data = polyjs.data(el.data)
    })
    var graph_chart349d76a70968 = polyjs.chart(chartParams);
</script>
    
  </body>
</html>

chart2.html

<!doctype HTML>
<meta charset = 'utf-8'>
<html>
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    <script src='//d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='//timelyportfolio.github.io/rCharts_nvd3_tests/libraries/widgets/nvd3/js/nv.d3.min-new.js' type='text/javascript'></script>
    <script src='//nvd3.org/lib/fisheye.js' type='text/javascript'></script>
    
    <style>
    .rChart {
      display: block;
      margin-left: auto; 
      margin-right: auto;
      width: 800px;
      height: 400px;
    }  
    </style>
    
  </head>
  <body>
    <div id='chart349d77ece1fb' class='rChart nvd3'></div>  
    
    <script type='text/javascript'>
 $(document).ready(function(){
      drawchart349d77ece1fb()
    });
    function drawchart349d77ece1fb(){  
      var opts = {
 "dom": "chart349d77ece1fb",
"width":    800,
"height":    400,
"x": "Hair",
"y": "Freq",
"group": "Eye",
"type": "multiBarChart",
"id": "chart349d77ece1fb" 
},
        data = [
 {
 "Hair": "Black",
"Eye": "Brown",
"Sex": "Male",
"Freq":             32 
},
{
 "Hair": "Brown",
"Eye": "Brown",
"Sex": "Male",
"Freq":             53 
},
{
 "Hair": "Red",
"Eye": "Brown",
"Sex": "Male",
"Freq":             10 
},
{
 "Hair": "Blond",
"Eye": "Brown",
"Sex": "Male",
"Freq":              3 
},
{
 "Hair": "Black",
"Eye": "Blue",
"Sex": "Male",
"Freq":             11 
},
{
 "Hair": "Brown",
"Eye": "Blue",
"Sex": "Male",
"Freq":             50 
},
{
 "Hair": "Red",
"Eye": "Blue",
"Sex": "Male",
"Freq":             10 
},
{
 "Hair": "Blond",
"Eye": "Blue",
"Sex": "Male",
"Freq":             30 
},
{
 "Hair": "Black",
"Eye": "Hazel",
"Sex": "Male",
"Freq":             10 
},
{
 "Hair": "Brown",
"Eye": "Hazel",
"Sex": "Male",
"Freq":             25 
},
{
 "Hair": "Red",
"Eye": "Hazel",
"Sex": "Male",
"Freq":              7 
},
{
 "Hair": "Blond",
"Eye": "Hazel",
"Sex": "Male",
"Freq":              5 
},
{
 "Hair": "Black",
"Eye": "Green",
"Sex": "Male",
"Freq":              3 
},
{
 "Hair": "Brown",
"Eye": "Green",
"Sex": "Male",
"Freq":             15 
},
{
 "Hair": "Red",
"Eye": "Green",
"Sex": "Male",
"Freq":              7 
},
{
 "Hair": "Blond",
"Eye": "Green",
"Sex": "Male",
"Freq":              8 
} 
]
  
      if(!(opts.type==="pieChart" || opts.type==="sparklinePlus")) {
        var data = d3.nest()
          .key(function(d){
            //return opts.group === undefined ? 'main' : d[opts.group]
            //instead of main would think a better default is opts.x
            return opts.group === undefined ? opts.y : d[opts.group];
          })
          .entries(data);
      }
      
      if (opts.disabled != undefined){
        data.map(function(d, i){
          d.disabled = opts.disabled[i]
        })
      }
      
      nv.addGraph(function() {
        var chart = nv.models[opts.type]()
          .x(function(d) { return d[opts.x] })
          .y(function(d) { return d[opts.y] })
          .width(opts.width)
          .height(opts.height)
         
        
          
        

        
        
        
      
       d3.select("#" + opts.id)
        .append('svg')
        .datum(data)
        .transition().duration(500)
        .call(chart);

       nv.utils.windowResize(chart.update);
       return chart;
      });
    };
</script>
    
  </body>
</html>

index.Rmd

---
title       : rCharts with Slidify
author      : Ramnath Vaidyanathan
framework   : revealjs
revealjs    : {theme: solarized}
mode        : standalone
---

<style>
iframe {
  width: 1600px;
  height: 1200px;
}
</style>

## rCharts with Slidify

--- .class #id 

## rPlot

```{r chart1, results = 'asis', comment = NA, tidy = F, fig.path = ''}
library(rCharts)
r1 <- rPlot(mpg ~ wt | gear, data = mtcars, type = 'point')
r1
```

---

## nPlot

```{r chart2, results = 'asis', comment = NA, tidy = F, fig.path = ''}
hair_eye_male = subset(as.data.frame(HairEyeColor), Sex == "Male")
n1 <- nPlot(Freq ~ Hair, group = 'Eye', 
    data = hair_eye_male, type = 'multiBarChart')
n1
```







index.md

---
title       : rCharts with Slidify
author      : Ramnath Vaidyanathan
framework   : revealjs
revealjs    : {theme: solarized}
mode        : standalone
---

<style>
iframe {
  width: 1600px;
  height: 1200px;
}
</style>

## rCharts with Slidify

--- .class #id 

## rPlot


```r
library(rCharts)
r1 <- rPlot(mpg ~ wt | gear, data = mtcars, type = 'point')
r1
```

<iframe src=chart1.html seamless></iframe>


---

## nPlot


```r
hair_eye_male = subset(as.data.frame(HairEyeColor), Sex == "Male")
n1 <- nPlot(Freq ~ Hair, group = 'Eye', 
    data = hair_eye_male, type = 'multiBarChart')
n1
```

<iframe src=chart2.html seamless></iframe>