Alert Details

Continent: Victor:
Cross Continental Vanu Soverignity
Server: Domination?
Miller (EU) No
Started: Ended:
01 Jan 1970 01:00:00 15 Dec 2013 22:34:00

True Faction Scores

How was this calculated?
Empire XP Won Avg Pop % Score
VS %
TR %
NC %

Most Contested Facilities

World Populations

Data provided by Borderline Tactical

/** * Code for regression extracted from jqplot.trendline.js * * Version: 1.0.0a_r701 * * Copyright (c) 2009-2011 Chris Leonello * jqPlot is currently available for use in all personal or commercial projects * under both the MIT (http://www.opensource.org/licenses/mit-license.php) and GPL * version 2.0 (http://www.gnu.org/licenses/gpl-2.0.html) licenses. This means that you can * choose the license that best suits your project and use it accordingly. * **/ function regression(x, y, typ) { var type = (typ == null) ? 'linear' : typ; var N = x.length; var slope; var intercept; var SX = 0; var SY = 0; var SXX = 0; var SXY = 0; var SYY = 0; var Y = []; var X = []; if (type == 'linear') { X = x; Y = y; } else if (type == 'exp' || type == 'exponential') { for (var i = 0; i < y.length; i++) { // ignore points <= 0, log undefined. if (y[i] <= 0) { N--; } else { X.push(x[i]); Y.push(Math.log(y[i])); } } } for (var i = 0; i < N; i++) { SX = SX + X[i]; SY = SY + Y[i]; SXY = SXY + X[i] * Y[i]; SXX = SXX + X[i] * X[i]; SYY = SYY + Y[i] * Y[i]; } slope = (N * SXY - SX * SY) / (N * SXX - SX * SX); intercept = (SY - slope * SX) / N; return [slope, intercept]; } function linearRegression(X, Y) { var ret; ret = regression(X, Y, 'linear'); return [ret[0], ret[1]]; } function expRegression(X, Y) { var ret; var x = X; var y = Y; ret = regression(x, y, 'exp'); var base = Math.exp(ret[0]); var coeff = Math.exp(ret[1]); return [base, coeff]; } /* TODO: this function is quite inefficient. Refactor it if there is problem with speed. */ function fitData(data, typ) { var type = (typ == null) ? 'linear' : typ; var ret; var res; var x = []; var y = []; var ypred = []; for (i = 0; i < data.length; i++) { if (data[i] != null && Object.prototype.toString.call(data[i]) === '[object Array]') { if (data[i] != null && data[i][0] != null && data[i][1] != null) { x.push(data[i][0]); y.push(data[i][1]); } } else if(data[i] != null && typeof data[i] === 'number' ){//If type of X axis is category x.push(i); y.push(data[i]); } else if(data[i] != null && Object.prototype.toString.call(data[i]) === '[object Object]'){ if (data[i] != null && data[i].x != null && data[i].y != null) { x.push(data[i].x); y.push(data[i].y); } } } if (type == 'linear') { ret = linearRegression(x, y); for (var i = 0; i < x.length; i++) { res = ret[0] * x[i] + ret[1]; ypred.push([x[i], res]); } return { data: ypred, slope: ret[0], intercept: ret[1], y: function(x) { return (this.slope * x) + this.intercept; }, x: function(y) { return (y - this.intercept) / this.slope; } }; } else if (type == 'exp' || type == 'exponential') { ret = expRegression(x, y); for (var i = 0; i < x.length; i++) { res = ret[1] * Math.pow(ret[0], x[i]); ypred.push([x[i], res]); } ypred.sort(); return { data: ypred, base: ret[0], coeff: ret[1] }; } }

Facility History


Hvar
(Indar)

Mao
(Indar)

Tawrich
(Indar)

Heyoka
(Amerish)

Mekala
(Amerish)

Tumas
(Amerish)

Eisa
(Esamir)

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