herbps10/.block

## .block
license: mit
border: no

## README.md

      
    Raw
  

              README.md
            
          
    IQ Distribution with Mean and Standard Deviation Sliders

  
## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
        font: 10px sans-serif;
    }
    .axis path,
    .axis line {
        fill: none;
        stroke: #000;
        shape-rendering: crispEdges;
    }
    .line {
        fill: none;
        stroke: steelblue;
        stroke-width: 1.5px;
    }

    .area {
      fill: red;
    }

    .label {
      fill: red;
    }

  .mean-label {
    font-weight: bold;
    font-size: 12px;
  }

  .mean-container {
    width: 165px;
    padding-left: 413px;
  }
</style>
<div class='mean-container'>
<input id='mean' type='range' min='90' max='110' value='100'>
<br/>
</div>

<svg></svg>

<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://cdn.jsdelivr.net/jstat/latest/jstat.min.js"></script>

<script type='text/javascript'>
  console.log("here");

//setting up empty data array
var data = [];
var dataBelowCutoff = [];
var cutoffCdf = 0;
var mean;
var sd = 15;

getData(); // popuate data

// line chart based on http://bl.ocks.org/mbostock/3883245
var margin = {
        top: 20,
        right: 20,
        bottom: 30,
        left: 50
    },
    width = 960 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

var x = d3.scaleLinear()
    .range([0, width]);

var y = d3.scaleLinear()
    .range([height, 0]);

var xAxis = d3.axisBottom()
    .scale(x);

var yAxis = d3.axisLeft()
    .scale(y);

var line = d3.line()
    .x(function(d) {
        return x(d.q);
    })
    .y(function(d) {
        return y(d.p);
    });
var svg = d3.select("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
    .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

x.domain([40, 160]);
y.domain(d3.extent(data, function(d) {
    return d.p;
}));

svg.append("g")
    .attr("class", "x axis")
    .attr("transform", "translate(0," + height + ")")
    .call(xAxis);

svg.append("g")
    .attr("class", "y axis")
    .call(yAxis);

var path = svg.append("path")
    .datum(data)
    .attr("class", "line")
    .attr("d", line);

var meanLabel = svg.append('text')
	.attr('class', 'mean-label')
	.attr('y', -10)
	.attr('text-anchor', 'middle');

update();

function update() {
  path.datum(data).attr("d", line);

  meanLabel
  	.attr('x', x(mean))
  	.text(mean);
}

d3.select('#mean').on('input', function() {
	getData();
  update();
});

function getData() {
  mean = parseFloat(document.getElementById('mean').value);
  sd = 15;
  data = [];
  // loop to populate data array with
  // probabily - quantile pairs
  for (var i = 40; i < 160; i += 1) {
      q = i
      p = jStat.normal.pdf(i, mean, sd);
      el = {
          "q": q,
          "p": p
      }

      data.push(el);
  };
}
</script>


<style type='text/css'>

 input[type=range] {
  -webkit-appearance: none;
  margin: 18px 0;
  width: 100%;
}
input[type=range]:focus {
  outline: none;
}
input[type=range]::-webkit-slider-runnable-track {
  width: 100%;
  height: 8.4px;
  cursor: pointer;
  animate: 0.2s;
  background: steelblue;
  box-shadow: inset 0px 0px 5px rgba(0, 0, 0, 0.3);
  border-radius: 8px;
}
input[type=range]::-webkit-slider-thumb {
  border: 1px solid #000000;
  height: 36px;
  width: 16px;
  border-radius: 3px;
  background: #ffffff;
  cursor: pointer;
  -webkit-appearance: none;
  margin-top: -14px;
}
input[type=range]:focus::-webkit-slider-runnable-track {
  background: steelblue;
}
input[type=range]::-moz-range-track {
  width: 100%;
  height: 8.4px;
  cursor: pointer;
  animate: 0.2s;
  box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
  background: steelblue;
  border-radius: 1.3px;
}
input[type=range]::-moz-range-thumb {
  box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
  border: 1px solid #000000;
  height: 36px;
  width: 16px;
  border-radius: 3px;
  background: #ffffff;
  cursor: pointer;
}
input[type=range]::-ms-track {
  width: 100%;
  height: 8.4px;
  cursor: pointer;
  animate: 0.2s;
  background: transparent;
  border-color: transparent;
  border-width: 16px 0;
  color: transparent;
}
input[type=range]::-ms-fill-lower {
  background: #2a6495;
  border: 0.2px solid #010101;
  border-radius: 2.6px;
  box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
}
input[type=range]::-ms-fill-upper {
  background: #3071a9;
  border: 0.2px solid #010101;
  border-radius: 2.6px;
  box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
}
input[type=range]::-ms-thumb {
  box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
  border: 1px solid #000000;
  height: 36px;
  width: 16px;
  border-radius: 3px;
  background: #ffffff;
  cursor: pointer;
}
input[type=range]:focus::-ms-fill-lower {
  background: #3071a9;
}
input[type=range]:focus::-ms-fill-upper {
  background: #367ebd;
}
</style>
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	body {
	font: 10px sans-serif;
	}
	.axis path,
	.axis line {
	fill: none;
	stroke: #000;
	shape-rendering: crispEdges;
	}
	.line {
	fill: none;
	stroke: steelblue;
	stroke-width: 1.5px;
	}

	.area {
	fill: red;
	}

	.label {
	fill: red;
	}

	.mean-label {
	font-weight: bold;
	font-size: 12px;
	}

	.mean-container {
	width: 165px;
	padding-left: 413px;
	}
	</style>
	<div class='mean-container'>
	<input id='mean' type='range' min='90' max='110' value='100'>
	<br/>
	</div>

	<svg></svg>

	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://cdn.jsdelivr.net/jstat/latest/jstat.min.js"></script>

	<script type='text/javascript'>
	console.log("here");

	//setting up empty data array
	var data = [];
	var dataBelowCutoff = [];
	var cutoffCdf = 0;
	var mean;
	var sd = 15;

	getData(); // popuate data

	// line chart based on http://bl.ocks.org/mbostock/3883245
	var margin = {
	top: 20,
	right: 20,
	bottom: 30,
	left: 50
	},
	width = 960 - margin.left - margin.right,
	height = 400 - margin.top - margin.bottom;

	var x = d3.scaleLinear()
	.range([0, width]);

	var y = d3.scaleLinear()
	.range([height, 0]);

	var xAxis = d3.axisBottom()
	.scale(x);

	var yAxis = d3.axisLeft()
	.scale(y);

	var line = d3.line()
	.x(function(d) {
	return x(d.q);
	})
	.y(function(d) {
	return y(d.p);
	});
	var svg = d3.select("svg")
	.attr("width", width + margin.left + margin.right)
	.attr("height", height + margin.top + margin.bottom)
	.append("g")
	.attr("transform", "translate(" + margin.left + "," + margin.top + ")");

	x.domain([40, 160]);
	y.domain(d3.extent(data, function(d) {
	return d.p;
	}));

	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + height + ")")
	.call(xAxis);

	svg.append("g")
	.attr("class", "y axis")
	.call(yAxis);

	var path = svg.append("path")
	.datum(data)
	.attr("class", "line")
	.attr("d", line);

	var meanLabel = svg.append('text')
	.attr('class', 'mean-label')
	.attr('y', -10)
	.attr('text-anchor', 'middle');

	update();

	function update() {
	path.datum(data).attr("d", line);

	meanLabel
	.attr('x', x(mean))
	.text(mean);
	}

	d3.select('#mean').on('input', function() {
	getData();
	update();
	});

	function getData() {
	mean = parseFloat(document.getElementById('mean').value);
	sd = 15;
	data = [];
	// loop to populate data array with
	// probabily - quantile pairs
	for (var i = 40; i < 160; i += 1) {
	q = i
	p = jStat.normal.pdf(i, mean, sd);
	el = {
	"q": q,
	"p": p
	}

	data.push(el);
	};
	}
	</script>


	<style type='text/css'>

	input[type=range] {
	-webkit-appearance: none;
	margin: 18px 0;
	width: 100%;
	}
	input[type=range]:focus {
	outline: none;
	}
	input[type=range]::-webkit-slider-runnable-track {
	width: 100%;
	height: 8.4px;
	cursor: pointer;
	animate: 0.2s;
	background: steelblue;
	box-shadow: inset 0px 0px 5px rgba(0, 0, 0, 0.3);
	border-radius: 8px;
	}
	input[type=range]::-webkit-slider-thumb {
	border: 1px solid #000000;
	height: 36px;
	width: 16px;
	border-radius: 3px;
	background: #ffffff;
	cursor: pointer;
	-webkit-appearance: none;
	margin-top: -14px;
	}
	input[type=range]:focus::-webkit-slider-runnable-track {
	background: steelblue;
	}
	input[type=range]::-moz-range-track {
	width: 100%;
	height: 8.4px;
	cursor: pointer;
	animate: 0.2s;
	box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
	background: steelblue;
	border-radius: 1.3px;
	}
	input[type=range]::-moz-range-thumb {
	box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
	border: 1px solid #000000;
	height: 36px;
	width: 16px;
	border-radius: 3px;
	background: #ffffff;
	cursor: pointer;
	}
	input[type=range]::-ms-track {
	width: 100%;
	height: 8.4px;
	cursor: pointer;
	animate: 0.2s;
	background: transparent;
	border-color: transparent;
	border-width: 16px 0;
	color: transparent;
	}
	input[type=range]::-ms-fill-lower {
	background: #2a6495;
	border: 0.2px solid #010101;
	border-radius: 2.6px;
	box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
	}
	input[type=range]::-ms-fill-upper {
	background: #3071a9;
	border: 0.2px solid #010101;
	border-radius: 2.6px;
	box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
	}
	input[type=range]::-ms-thumb {
	box-shadow: 1px 1px 1px #000000, 0px 0px 1px #0d0d0d;
	border: 1px solid #000000;
	height: 36px;
	width: 16px;
	border-radius: 3px;
	background: #ffffff;
	cursor: pointer;
	}
	input[type=range]:focus::-ms-fill-lower {
	background: #3071a9;
	}
	input[type=range]:focus::-ms-fill-upper {
	background: #367ebd;
	}
	</style>