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1111 lines (874 loc) · 31.5 KB
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<head>
<!-- Load plotly.js into the DOM -->
<script src='https://cdn.plot.ly/plotly-2.4.2.min.js'></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js'></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjs/9.4.4/math.min.js"></script>
<script type="text/javascript" src="http://livejs.com/live.js"></script>
<link rel="stylesheet" href="zmenu.css">
<link rel="stylesheet" href="zbut.css">
<link rel="stylesheet" href="zsabitmenu2.css">
<link rel="shortcut icon" href="#">
</head>
<body>
<nav class="menu">
<ol>
<li class="menu-item"><a href="#0">Home</a></li>
<li class="menu-item"><a href="#0">About</a></li>
<li class="menu-item">
<a href="#0">Graphs</a>
<ol class="sub-menu">
<li class="menu-item"><a href="/something01.html">Graphs 1</a></li>
<li class="menu-item"><a href="/something02.html">Graphs 2</a></li>
<li class="menu-item"><a href="/something03.html">Graphs 3</a></li>
</ol>
</li>
<li class="menu-item">
<a href="#0">heatmap</a>
<ol class="sub-menu">
<li class="menu-item"><a href="/heatmap.html">heatmap</a></li>
</ol>
</li>
<li class="menu-item"><a href="#0">Contact</a></li>
</ol>
</nav>
<div id="mySidepanel" class="sidepanel">
<a href="javascript:void(0)" class="closebtn" onclick="closeNav()">×</a>
<a href="/something01.html">Something 1</a>
<a href="/something02.html">Something 2</a>
<a href="/something03.html">Something 3</a>
</div>
<button class="openbtn" onclick="openNav()">☰ <span>Somethings</span></button>
<div class=main>
<div id="myDiv" class="row"></div>
<!-- Plotly chart will be drawn inside this DIV -->
<div class="row">
<button onclick="myFunction()">Hide/Show Splom Graph!</button>
</div>
<div id="myDivSplom" class="row"></div>
<div class="form-control row flex-direction-column">
<h3>Select Values for Ratio</h3>
<div class="form-wrapper">
<form>
<select id="values1">
<option value="Level1">Level1</option>
<option value="Level2">Level2</option>
<option value="Level3">Level3</option>
<option value="Level4">Level4</option>
</select>
<select id="values2">
<option value="Level1">Level1</option>
<option value="Level2">Level2</option>
<option value="Level3">Level3</option>
<option value="Level4">Level4</option>
</select>
<input id="buton" type="button" value="Show Ratio!" onclick="plotagraph();">
</form>
</div>
</div>
<div>
<div id="myDivRatio" class="row">
</div>
</div>
</body>
<script>
/* Set the width of the sidebar to 250px (show it) */
function openNav() {
document.getElementById("mySidepanel").style.width = "250px";
}
/* Set the width of the sidebar to 0 (hide it) */
function closeNav() {
document.getElementById("mySidepanel").style.width = "0";
}
function myFunction() {
var x = document.getElementById("myDivSplom");
if (x.style.display === "none") {
x.style.display = "flex";
} else {
x.style.display = "none";
}
} ;
//////ratio grafiği/////
function plotagraph(val1, val2){
d3.csv("something02.txt", function(err, rows){
function unpack(rows, key) {
return rows.map(function(row) { return row[key]; });
}
var val1 = document.querySelector('#values1').value;
var val2 = document.querySelector('#values2').value;
var ratio = [];
var datte = unpack(rows, "Date");
for(let i = 0; i < unpack(rows, val1).length ; i++){
let val = (parseFloat(unpack(rows, val1)[i])) / (parseFloat(unpack(rows, val2)[i]))
ratio.push(val);
}
console.log(unpack(rows, val1));
var dataratio = [{
type: "scattergl",
mode: "markers+lines",
name: 'Level3',
marker: { color: '#9c640c', size: 3.5},
line: { color: '#9c640c', width: 0.1},
x: datte,
y: ratio
}];
var layoutratio = {
title: 'Time Series with Rangeslider',
dragmode: 'zoom',
height: 500,
paper_bgcolor: '#bfc689',
plot_bgcolor: '#e7ecc5',
width:1000,
margin: {
l: 50,
r: 50,
b: 50,
t: 50,
pad: 4
},
xaxis1: {
autorange: false,
range: [datte[datte.length-720], datte[datte.length-1]],
//rangeslider: {autorange: true, thickness: 0.04, mode:"traces"},
type: 'date',
},
dragmode: "zoom",
yaxis: {
autorange: true,
type: 'linear'
}
};
Plotly.newPlot('myDivRatio', dataratio, layoutratio);
});
}
////////ratio grafiği bitti//////
d3.csv("something02.txt", function(err, rows){
function unpack(rows, key) {
return rows.map(function(row) { return row[key]; });
}
var date = unpack(rows, "Date")
////level1/////
var level1 = unpack(rows, 'Level1')
var level1obj = {"int": [],
"sum": 0,
"means": [],
"mean": 0,
"residue": [],
}
for(var i = 0; i< level1.length; i++){
level1obj.int.push(parseFloat(level1[i]));
level1obj.sum += parseFloat(level1[i]);
}
level1obj.mean = level1obj.sum / (level1obj.int.length)
for(var i = 0; i < level1obj.int.length; i++){
level1obj.means.push(level1obj.mean)
level1obj.residue.push(Math.abs(level1obj.int[i]-level1obj.mean) / Math.sqrt(level1obj.int[i])) ///burayı ekle diğerleri için
}
console.log(level1obj.residue)
var level1trc = {
type: "scattergl",
mode: "markers+lines",
name: 'Level1',
marker: { color: '#9b59b6', size: 3.5},
line: { color: '#9b59b6', width: 0.1},
x: date,
y: level1obj.int,
legendgroup: 'level1',
xaxis: "x1",
yaxis: "y1"
}
var level1mean = {
type: "scattergl",
mode: "lines",
name: 'Level1 Mean',
legendgroup: 'level1',
showlegend: false,
line: { color: '#9b59b6', width: 1},
x: date,
y: level1obj.means,
xaxis: "x1",
yaxis: "y1",
}
/////level2erature////
var level2 = unpack(rows, 'Level2')
var level2obj = { "int": [],
"sum": 0,
"means": [],
"mean": 0,
"residue": []
}
for(var i = 0; i< level2.length; i++){
level2obj.int.push(parseFloat(level2[i]));
level2obj.sum += parseFloat(level2[i]);
}
level2obj.mean = level2obj.sum / (level2obj.int.length)
for(var i = 0; i < level2obj.int.length; i++){
level2obj.means.push(level2obj.mean)
level2obj.residue.push(Math.abs(level2obj.int[i]-level2obj.mean) / Math.sqrt(level2obj.int[i]))
}
console.log(level2obj)
var level2trc = {
type: "scattergl",
mode: "markers+lines",
name: 'Level2',
marker: { color: '#117864', size: 3.5, symbol:"triangle-up"},
line: { color: '#117864', width: 0.1},
x: date,
y: level2obj.int,
legendgroup: 'level2',
xaxis: "x1",
yaxis: "y1",
}
var level2mean = {
type: "scattergl",
mode: "lines",
name: 'Level2 Mean',
legendgroup: 'level2',
showlegend: false,
line: { color: '#117864', width: 1},
x: date,
y: level2obj.means,
xaxis: "x1",
yaxis: "y1",
}
//////DAMP/////
var level3 = unpack(rows, 'Level3')
var level3obj = { "int": [],
"sum": 0,
"means": [],
"mean": 0,
"residue": []
}
for(var i = 0; i< level3.length; i++){
level3obj.int.push(parseFloat(level3[i]));
level3obj.sum += parseFloat(level3[i]);
}
level3obj.mean = level3obj.sum / (level3obj.int.length)
for(var i = 0; i < level3obj.int.length; i++){
level3obj.means.push(level3obj.mean);
level3obj.residue.push(Math.abs(level3obj.int[i]-level3obj.mean) / Math.sqrt(level3obj.int[i]))
}
console.log(level3obj)
var level3trc = {
type: "scattergl",
mode: "markers+lines",
name: 'Level3',
marker: { color: '#9c640c', size: 3.5, symbol:"square-dot"},
line: { color: '#9c640c', width: 0.1},
x: date,
y: level3obj.int,
xaxis: "x1",
yaxis: "y1",
legendgroup: 'level3',
}
var level3mean = {
type: "scattergl",
mode: "lines",
name: 'Level3 Mean',
legendgroup: 'level3',
showlegend: false,
line: { color: '#9c640c', width: 1},
x: date,
y: level3obj.means,
xaxis: "x1",
yaxis: "y1",
}
////Level4///
var level4 = unpack(rows, 'Level4')
var level4obj = { "int": [],
"sum": 0,
"means": [],
"mean": 0,
"residue": []
}
for(var i = 0; i< level4.length; i++){
level4obj.int.push(parseFloat(level4[i]));
level4obj.sum += parseFloat(level4[i]);
}
level4obj.mean = level4obj.sum / (level4obj.int.length)
for(var i = 0; i < level4obj.int.length; i++){
level4obj.means.push(level4obj.mean);
level4obj.residue.push(Math.abs(level4obj.int[i]-level4obj.mean) / Math.sqrt(level4obj.int[i]))
}
console.log(level4obj)
var level4trc = {
type: "scattergl",
mode: "markers+lines",
name: 'Level4',
marker: { color: '#a93226', size: 3.5, symbol: "diamond-dot" },
line: { color: '#a93226', width: 0.1},
x: date,
y: level4obj.int,
legendgroup: 'level4',
xaxis: "x1",
yaxis: "y1",
}
var level4mean = {
type: "scattergl",
mode: "lines",
name: 'Level4 Means',
legendgroup: 'level4',
showlegend: false,
line: { color: '#a93226', width: 1},
x: date,
y: level4obj.means,
xaxis: "x1",
yaxis: "y1",
}
/////ANA GRAFİK////
///////////////TABLE GRAPH////////
var headerNames = ["Props","Level1","Level2","Level3","Level4"];
var cellValues = [["Max","Min","Std","Mean"],
[math.max(level1obj.int), math.min(level1obj.int), math.std(level1obj.int), level1obj.mean],
[math.max(level2obj.int), math.min(level2obj.int), math.std(level1obj.int), level2obj.mean],
[math.max(level3obj.int), math.min(level3obj.int), math.std(level3obj.int), level3obj.mean],
[math.max(level4obj.int), math.min(level4obj.int), math.std(level4obj.int), level4obj.mean]];
console.log(cellValues);
var table = {
type: 'table',
columnwidth: [200,150,150,150,150],
columnorder: [0,1,2,3,4],
header: {
values: headerNames,
align: "center",
line: {width: 1, color: 'rgb(50, 50, 50)'},
fill: {color: ['#7f8938']},
font: {family: "Arial", size: 11, color: "white"}
},
cells: {
values: cellValues,
align: ["center", "center"],
line: {color: "black", width: 1},
fill: {color: ['#ccd695', '#e7ecc5']},
font: {family: "Arial", size: 10, color: ["black"]}
},
xaxis: "x2",
yaxis: "y2",
domain: {x: [0,1], y: [0.3,0.5]}
}
var datatab = [table];
///////////RESidue subplots////////////
var level1residue = {
x: date,
y: level1obj.residue,
type: "scattergl",
mode: "markers+lines",
marker: { color: '#9b59b6', size: 3.5},
name: 'level1residue',
legendgroup: 'level1',
xaxis: "x3",
yaxis: "y3",
showlegend: false,
}
var level2residue = {
x: date,
y: level2obj.residue,
type: "scattergl",
mode: "markers+lines",
marker: { color: '#117864', size: 3.5},
name: 'Level2 Residue',
legendgroup: 'level2',
xaxis: "x3",
yaxis: "y3",
showlegend: false,
}
var level3residue = {
x: date,
y: level3obj.residue,
type: "scattergl",
mode: "markers+lines",
marker: { color: '#9c640c', size: 3.5},
name: 'Level3 Residue',
legendgroup: 'level3',
xaxis: "x3",
yaxis: "y3",
showlegend: false,
}
var level4residue = {
x: date,
y: level4obj.residue,
type: "scattergl",
mode: "markers+lines",
marker: { color: '#a93226', size: 3.5},
name: 'Level4 Residue',
legendgroup: 'level4',
xaxis: "x3",
yaxis: "y3",
showlegend: false,
}
var data = [level1trc, level1mean, level2trc, level2mean, level3trc, level3mean, level4trc, level4mean, table, level1residue, level2residue, level3residue, level4residue ];
var layout = {
title: 'Time Series with Rangeslider',
autosize: false,
margin: {
l: 35,
r: 35,
b: 35,
t: 35,
pad: 2
},
dragmode: 'zoom',
legend: {
"orientation": "h",
x: 0.879, xanchor:"center", y: 1.039, traceorder: 'normal', itemwidth: 20,
font: {
family: 'sans-serif',
size: 10,
color: '#000'
}, bgcolor: '#e7ecc5',
bordercolor: '#7f8938',
borderwidth: 2
},
paper_bgcolor: '#bfc689',
plot_bgcolor: '#e7ecc5',
height: 1000,
width:1500,
xaxis1: { rangeslider: {range:[date[0], date[date.length]], thickness: 0.03, mode:"traces", bgcolor: "#e7ecc5", bordercolor: '#bfc689'},
autorange: false,
range: [date[date.length-365], date[date.length-1]],
rangeselector: {activecolor: '#bfc689', bgcolor: '#e7ecc5', bordercolor: '#e7ecc5',
buttons: [
{
count: 1,
label: '1day',
step: 'day',
stepmode: 'backward'
},
{
count: 7,
label: '1week',
step: 'day',
stepmode: 'backward'
},
{
count: 14,
label: '2week',
step: 'day',
stepmode: 'backward'
},
],
xanchor: "left"},
type: 'date',
},
yaxis1: {domain: [0.65,1],
autorange: true,
type: 'linear'
},
yaxis2: {domain: [0.33, 0.55]},
yaxis3: {domain: [0, 0.35],
autorange: true,
type: 'linear'
},
xaxis2: {domain: [0,1]},
xaxis3: {domain: [0,1],
autorange: false, range: [date[date.length-365] , date[date.length-1]], type: 'date', anchor:"y3"},
};
var config = {
toImageButtonOptions: {
format: 'svg', // one of png, svg, jpeg, webp
filename: 'custom_image',
height: 500,
width: 700,
scale: 1 // Multiply title/legend/axis/canvas sizes by this factor
}
};
Plotly.newPlot('myDiv', data, layout, config);
////y:level1////
var tr11 = {
x: level1obj.int,
y: level1obj.int,
xaxis: 'x',
yaxis: 'y',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr12 = {
x: level2obj.int,
y: level1obj.int,
xaxis: 'x2',
yaxis: 'y',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr13 = {
x: level3obj.int,
y: level1obj.int,
xaxis: 'x3',
yaxis: 'y',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr14 = {
x: level4obj.int,
y: level1obj.int,
xaxis: 'x4',
yaxis: 'y',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
/////y:level2////
var tr21 = {
x: level1obj.int,
y: level2obj.int,
xaxis: 'x',
yaxis: 'y2',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr22 = {
x: level2obj.int,
y: level2obj.int,
xaxis: 'x2',
yaxis: 'y2',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr23 = {
x: level3obj.int,
y: level2obj.int,
xaxis: 'x3',
yaxis: 'y2',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr24 = {
x: level4obj.int,
y: level2obj.int,
xaxis: 'x4',
yaxis: 'y2',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
////y:level3////
var tr31 = {
x: level1obj.int,
y: level3obj.int,
xaxis: 'x',
yaxis: 'y3',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr32 = {
x: level2obj.int,
y: level3obj.int,
xaxis: 'x2',
yaxis: 'y3',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr33 = {
x: level3obj.int,
y: level3obj.int,
xaxis: 'x3',
yaxis: 'y3',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr34 = {
x: level4obj.int,
y: level3obj.int,
xaxis: 'x4',
yaxis: 'y3',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
/////y:level4ane////
var tr41 = {
x: level1obj.int,
y: level4obj.int,
xaxis: 'x',
yaxis: 'y4',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr42 = {
x: level2obj.int,
y: level4obj.int,
xaxis: 'x2',
yaxis: 'y4',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr43 = {
x: level3obj.int,
y: level4obj.int,
xaxis: 'x3',
yaxis: 'y4',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5}
};
var tr44 = {
x: level4obj.int,
y: level4obj.int,
xaxis: 'x4',
yaxis: 'y4',
type: 'scattergl',
mode:'markers',
marker: { color: '#9b59b6', size: 3.5},
};
//////subplots graph////
var datasp = [tr11, tr12, tr13, tr14, tr21, tr22, tr23, tr24, tr31, tr32, tr33, tr34, tr41, tr42, tr43, tr44];
var layoutsp = {
grid: {
rows: 4,
columns: 4,
subplots:[['xy','x2y','x3y','x4y'],['xy2','x2y2','x3y2','x4y2'],['xy3','x2y3','x3y3','x4y3'], ['xy4','x2y4','x3y4','x4y4']],
roworder:'top to bottom'
},
paper_bgcolor: '#bfc689',
plot_bgcolor: '#e7ecc5',
height: 1000,
width:1500, showlegend: false,
xaxis: {autorange: true, title: {text: "Level1"}},
xaxis2: {autorange: true, title: {text: "Level2"}},
xaxis3: {autorange: true,title: {text: "Level3"}},
xaxis4: {autorange: true,title: {text: "Level4"}},
yaxis: {autorange: true, title: {text: "Level1"}},
yaxis2: {autorange: true, title: {text: "Level2"}},
yaxis3: {autorange: true, title: {text: "Level3"}},
yaxis4: {autorange: true, title: {text: "Level4"}}};
Plotly.newPlot('myDivSplom', datasp, layoutsp, config);
var myDiv = document.getElementById('myDiv'); // Define division on which plot.ly Event Handler acts upon
// Define Event processor to execute after user zooms in on a selected interval/area of plot
myDiv.on('plotly_relayout',
function(eventdata){
console.log ('Zoom Event/running eventdata function')
// console.table(data[0]['y']); uncomment to dump y-axis
var i; // Loop indice
var first_x = eventdata['xaxis.range[0]']; // Retrieve earliest/leftmost time/date stamp from selected interval in String format, from selected interval
var zoomed_level1_array = [ ];
var zoomed_level2_array = [ ];
var zoomed_level3_array = [ ];
var zoomed_level4_array = [ ]; // Array consisting of all y values within zoomed time interval, used to compute standard deviation
if (first_x==undefined) { first_x = new Date ('2019-01-01'); } // If this was a zoom out, set earliest/leftmost time/date stamp to Jan 1, 2000 @ midnight to include all data
console.log('X-Axis Min:' + first_x); // Dump leftmost timedatestamp to web developer console window
var last_x = eventdata['xaxis.range[1]']; // Retrieve latest/rightmost time/date stamp from selected interval in String format, from selected interval
if (last_x==undefined) { last_x = new Date ('2019-12-31'); } // If this was a zoom out, set latest/rightmost time/date stamp to Jan 1, 2099 @ midnight to include all data
console.log('X-Axis Max:' + last_x); // Dump rightmost/latest timedatestamp to web developer console window
// console.table( plotly_vars['data']['x'] ); Uncomment this line to write x-axis data array to console window
// console.log('First x-element: ' + plotly_vars['data'][0]['x'][0] ); Uncomment this line to write first x-axis element to console window
var num_points = data[0]['x'].length; // Compute total number of points on x-axis (entire dataset before zoom) based upon data array length
console.log ('num_points: ' + num_points);
var num_points_in_zoom = 0; // Initialize indice containing the number of points within the zoomed region (running counter)
analyte_level1_sum = 0;
analyte_level2_sum = 0;
analyte_level3_sum = 0;
analyte_level4_sum = 0; // Zero the sum of analyte results later used to compute average
var datt = [];
/* ilgili tarih aralığı burada seçiliyor, ardından ilgili aralığın Y aksisidenki değerler bir
değişkene atanıp toplanıyor(analyte sum), tarih aralığına ait array burada oluşturuluyor, ilgili
aralığa ait değerlerin bütün verilerini içeren veriler burada oluşturuluyor */
for (i = 0; i < num_points; i++) { // Loop through entire dataset to sum across only those points within zoomed region (sum used to compute average)
var single_date = data[0]['x'][i]; // Return a single time/date stamp in String format
// Below statement compares timedatestamp of each point to endpoints of interval. To allow a logical comparison, the string timedatestamps must be coerced
// into numeric format with Date() function
if ( new Date ( single_date ) > new Date (first_x) && new Date ( single_date ) < new Date (last_x) )
{ analyte_level1_sum += data[0]['y'][i]; // Add y-axis analyte results to sum if their timedatestamp lies withn zoomed interval
analyte_level2_sum += data[2]['y'][i];
analyte_level3_sum += data[4]['y'][i];
analyte_level4_sum += data[6]['y'][i];
datt.push(new Date(single_date));
num_points_in_zoom += 1; // Increment count of total number of points later used to compute average
zoomed_level1_array.push( data[0]['y'][i] )
zoomed_level2_array.push( data[2]['y'][i] )
zoomed_level3_array.push( data[4]['y'][i] )
zoomed_level4_array.push( data[6]['y'][i] ); // Build array comprising all y-values, for use in calculating standard deviation
}
}
console.log('Sum of analyte results:' + analyte_level1_sum); // Write sum to console window for debugging purposes
console.log('N, Number of Results in zoomed dataset interval:' + num_points_in_zoom); // Write number of points to console window for debugging purposes
////ortalama değerleri, array değil tekil değerler////
var zoom_average_level1 = (analyte_level1_sum / num_points_in_zoom);
var zoom_average_level2 = (analyte_level2_sum / num_points_in_zoom);
var zoom_average_level3 = (analyte_level3_sum / num_points_in_zoom);
var zoom_average_level4 = (analyte_level4_sum / num_points_in_zoom);// Compute average across zoomed-interval
/////ortalama çizgilerinin arrayleri burada oluşturuluyor///
var level1avg = [];
var level2avg = [];
var level3avg = [];
var level4avg = [];
for(i=0; i<num_points_in_zoom; i++){
level1avg.push(zoom_average_level1)
level2avg.push(zoom_average_level2)
level3avg.push(zoom_average_level3)
level4avg.push(zoom_average_level4)
}
//console.log(datt)
///residueler burada hesaplanıyor///
var zoomed_level1_residue = [];
var zoomed_level2_residue = [];
var zoomed_level3_residue = [];
var zoomed_level4_residue = [];
for(i=0; i < num_points_in_zoom; i++){
zoomed_level1_residue.push(Math.abs(zoomed_level1_array[i]-zoom_average_level1) / Math.sqrt(zoomed_level1_array[i]));
zoomed_level2_residue.push(Math.abs(zoomed_level2_array[i]-zoom_average_level2) / Math.sqrt(zoomed_level2_array[i]));
zoomed_level3_residue.push(Math.abs(zoomed_level3_array[i]-zoom_average_level3) / Math.sqrt(zoomed_level3_array[i]));
zoomed_level4_residue.push(Math.abs(zoomed_level4_array[i]-zoom_average_level4) / Math.sqrt(zoomed_level4_array[i]));
}
var level1residueupdated = {
y: [zoomed_level1_residue],
xaxis: "x3",
}
var level2residueupdated = {
y: [zoomed_level2_residue],
xaxis: "x3",
}
var level3residueupdated = {
y: [zoomed_level3_residue],
xaxis: "x3",
}
var level4residueupdated = {
y: [zoomed_level4_residue],
xaxis: "x3",
}
/////tablonun değerlerinin atanması altta yapılıyor///
var cellValues = [["Max","Min","Std","Mean"],
[math.max(zoomed_level1_array), math.min(zoomed_level1_array), math.std(zoomed_level1_array), zoom_average_level1],
[math.max(zoomed_level2_array), math.min(zoomed_level2_array), math.std(zoomed_level2_array), zoom_average_level2],
[math.max(zoomed_level3_array), math.min(zoomed_level3_array), math.std(zoomed_level3_array), zoom_average_level3],
[math.max(zoomed_level4_array), math.min(zoomed_level4_array), math.std(level4obj.int), zoom_average_level4]];
var cellValues2 = [["Max","Min","Std","Mean"],
[1,1,1,1],
[1,1,1,1],
[1,1,1,1],
[1,1,1,1]];
///splom matrix data düzeltme denemesi///
var t11 = {
x: zoomed_level1_array,
y: zoomed_level1_array
};
var t12 = {
x: zoomed_level2_array,
y: zoomed_level1_array,
};
var t13 = {
x: zoomed_level3_array,
y: zoomed_level1_array,};
var t14 = {
x: zoomed_level4_array,
y: zoomed_level1_array, };
/////y:level2////
var t21 = {
x: zoomed_level1_array,
y: zoomed_level2_array, };
var t22 = {
x: zoomed_level2_array,
y: zoomed_level2_array,
};
var t23 = {
x: zoomed_level3_array,
y: zoomed_level2_array,
};
var t24 = {
x: zoomed_level4_array,
y: zoomed_level2_array,};
////y:level3////
var t31 = {
x: zoomed_level1_array,
y: zoomed_level3_array,
};
var t32 = {
x: zoomed_level2_array,
y: zoomed_level3_array,
};
var t33 = {
x: zoomed_level3_array,
y: zoomed_level3_array,
};
var t34 = {
x: zoomed_level4_array,