public ActionResult Test1(string y, string p)
{
//List<int> arr = new List<int> { 12, 36, 48, 999 };
//Double[] arr = { 33, 22, 44, 33, 55, 44, 66 };
//List<List<Double>> Clusters = new List<List<Double>>();
//Clusters.Add(new List<double> { 0.003895, 0.001301, -0.01205, 0.003486, -0.0006084, 0.003397, 0.0004202, -0.01925, 0.01072, 0.007259, 0.007427, 0.00686, -0.0002649, 0.01117, -0.0002307, -0.01634, 0.006021, -0.01626, 0.00274, 0.0005167, -0.01175, 0.01438 });
//Clusters.Add(new List<double> { 0.01104, 0.002862, -0.03278, 0.01367, -0.00151, 0.009817, 0.001038, -0.04535, 0.02633, 0.01618, 0.01891, 0.02395, -0.009159, 0.02729, -0.000565, -0.04118, 0.01597, -0.03414, 0.005393, 0.001285, -0.01049, 0.03742 });
//Clusters.Add(new List<double> { 0.01886, 0.003551, -0.05612, 0.02891, -0.002407, 0.01714, 0.001647, -0.0661, 0.04038, 0.02087, 0.0295, 0.04804, -0.02833, 0.04166, -0.0008885, -0.06554, 0.02661, -0.04395, 0.005192, 0.002055, 0.01638, 0.05986 });
//Clusters.Add(new List<double> { 0.02617, 0.003039, -0.08086, 0.0479, -0.003299, 0.02464, 0.002247, -0.07968, 0.05172, 0.01968, 0.038, 0.07684, -0.05687, 0.05318, -0.0012, -0.08828, 0.0374, -0.04542, 0.001545, 0.002823, 0.07026, 0.07907 });
//Clusters.Add(new List<double> { 0.03176, 0.001194, -0.1054, 0.06908, -0.004187, 0.03175, 0.002838, -0.0853, 0.0595, 0.01209, 0.0437, 0.1072, -0.09263, 0.06104, -0.001503, -0.1085, 0.04789, -0.03864, -0.005351, 0.003592, 0.1488, 0.09296 });
//Clusters.Add(new List<double> { 0.03455, -0.001909, -0.1282, 0.09088, -0.005069, 0.03812, 0.003421, -0.0831, 0.06318, -0.001179, 0.04636, 0.1358, -0.1323, 0.06473, -0.001793, -0.1255, 0.05769, -0.02412, -0.0147, 0.00436, 0.2448, 0.1002 });
//Clusters.Add(new List<double> { 0.03375, -0.005962, -0.1474, 0.1117, -0.005945, 0.04355, 0.003993, -0.07402, 0.06266, -0.01835, 0.04617, 0.1595, -0.1718, 0.06414, -0.002074, -0.1391, 0.06652, -0.002811, -0.02535, 0.005127, 0.3464, 0.1005 });
//Clusters.Add(new List<double> { 0.02899, -0.01042, -0.1619, 0.1305, -0.006818, 0.04804, 0.004558, -0.05933, 0.05827, -0.03699, 0.04356, 0.1768, -0.2073, 0.05953, -0.002343, -0.1489, 0.07411, 0.02372, -0.03604, 0.005895, 0.4409, 0.09435 });
//Clusters.Add(new List<double> { 0.02032, -0.01453, -0.1708, 0.1461, -0.007686, 0.05168, 0.005114, -0.04056, 0.05077, -0.05448, 0.03918, 0.187, -0.2358, 0.05151, -0.002601, -0.1553, 0.0803, 0.05339, -0.04548, 0.006662, 0.5187, 0.08355 });
//Clusters.Add(new List<double> { 0.008158, -0.01746, -0.1738, 0.158, -0.008548, 0.05459, 0.00566, -0.01913, 0.04119, -0.06857, 0.03375, 0.1905, -0.255, 0.04099, -0.002848, -0.1589, 0.08493, 0.08378, -0.05247, 0.007428, 0.5755, 0.07057 });
//Clusters.Add(new List<double> { -0.006716, -0.01841, -0.1712, 0.1659, -0.009405, 0.05695, 0.006197, 0.003557, 0.03077, -0.07737, 0.02805, 0.1885, -0.2641, 0.02906, -0.003085, -0.1601, 0.08787, 0.1123, -0.0559, 0.008193, 0.6103, 0.05837 });
//Clusters.Add(new List<double> { -0.02329, -0.01685, -0.1633, 0.1699, -0.01026, 0.0589, 0.006725, 0.02624, 0.02078, -0.07964, 0.02284, 0.183, -0.2632, 0.01681, -0.003311, -0.1598, 0.08908, 0.1366, -0.05476, 0.008959, 0.6249, 0.05004 });
//Clusters.Add(new List<double> { -0.04035, -0.01266, -0.1506, 0.1702, -0.0111, 0.06055, 0.007245, 0.0478, 0.01234, -0.07464, 0.01875, 0.1761, -0.2529, 0.005306, -0.003526, -0.1585, 0.08849, 0.1545, -0.04814, 0.009725, 0.6213, 0.04821 });
//Clusters.Add(new List<double> { -0.05662, -0.006138, -0.1337, 0.1676, -0.01194, 0.0619, 0.007756, 0.06722, 0.006309, -0.06211, 0.01635, 0.1697, -0.2345, -0.004678, -0.003731, -0.1566, 0.08613, 0.1649, -0.0355, 0.01049, 0.6019, 0.05461 });
//Clusters.Add(new List<double> { -0.0708, 0.002025, -0.1131, 0.163, -0.01277, 0.06293, 0.008257, 0.08364, 0.003145, -0.04232, 0.01593, 0.166, -0.2094, -0.01253, -0.003923, -0.1539, 0.08218, 0.1669, -0.01652, 0.01126, 0.5687, 0.06983 });
//Clusters.Add(new List<double> { -0.08165, 0.01098, -0.08912, 0.1572, -0.0136, 0.06348, 0.008752, 0.09638, 0.002914, -0.01621, 0.01754, 0.1664, -0.1795, -0.01795, -0.004107, -0.1499, 0.07687, 0.1606, 0.008501, 0.01202, 0.5242, 0.09315 });
//Clusters.Add(new List<double> { -0.08819, 0.01992, -0.06219, 0.1514, -0.01443, 0.06344, 0.009231, 0.1049, 0.005271, 0.01465, 0.02091, 0.1722, -0.1466, -0.02087, -0.00428, -0.1439, 0.0705, 0.1464, 0.03858, 0.01278, 0.4705, 0.1226 });
//Clusters.Add(new List<double> { -0.08969, 0.02818, -0.03289, 0.1464, -0.01525, 0.06259, 0.009707, 0.1091, 0.00959, 0.04791, 0.02554, 0.1838, -0.1131, -0.02148, -0.004439, -0.1345, 0.06351, 0.1251, 0.07201, 0.01354, 0.4105, 0.1555 });
//Clusters.Add(new List<double> { -0.0859, 0.03534, -0.001928, 0.1429, -0.01606, 0.0608, 0.01018, 0.109, 0.01503, 0.08063, 0.03067, 0.2005, -0.08128, -0.02012, -0.004591, -0.1209, 0.05631, 0.09824, 0.1063, 0.0143, 0.3469, 0.1884 });
//Clusters.Add(new List<double> { -0.07708, 0.04121, 0.02965, 0.1413, -0.01686, 0.05797, 0.01064, 0.105, 0.02071, 0.1096, 0.03552, 0.2208, -0.05314, -0.01725, -0.004731, -0.1019, 0.04928, 0.06721, 0.1383, 0.01506, 0.283, 0.2186 });
Double[] arr = Clusters_new[Convert.ToInt32(y)].ToArray();
Double[] arr2 = Clusters_new[Convert.ToInt32(p)].ToArray();
Statistics s = new Statistics();
Trendline t = s.CalculateLinearRegression(arr.Select(x => Convert.ToDouble(x)).ToArray(), arr2.Select(x => Convert.ToDouble(x)).ToArray());
ViewBag.x1 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2.Min());
ViewBag.x2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2.Max());
var y1 = t.Slope * arr2.Min() + t.Intercept;
var y2 = t.Slope * arr2.Max() + t.Intercept;
ViewBag.y1 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(y1);
ViewBag.y2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(y2);
ViewBag.Slope = t.Slope;
ViewBag.Intercept = t.Intercept;
ViewBag.Trendline1 = Convert.ToInt32(t.Start);
ViewBag.Trendline2 = Convert.ToInt32(t.End);
ViewBag.Countries = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr);
ViewBag.Countries2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2);
ViewBag.Clusters_new = Clusters_new;
//ViewBag.test1 = 99;
y = Convert.ToString(Convert.ToInt32(y) + 1);
p = Convert.ToString(Convert.ToInt32(p) + 1);
ViewBag.y = "График рассеяния для станций " + y + ", " + p + " и прямая регрессии";
return(View());
}
public ActionResult Test1()
{
string path = Server.MapPath("~/Files/" + fileName);
List <List <Double> > Clusters = new List <List <Double> >();
List <Double> Cluster = new List <double>();
using (StreamReader sr = new StreamReader(path, System.Text.Encoding.Default))
{
string line;
while ((line = sr.ReadLine()) != null)
{
string[] arg = line.Split(new char[] { ' ' }, StringSplitOptions.RemoveEmptyEntries);
foreach (string z in arg)
{
if (z.IndexOf('e') != -1)
{
int ind = z.IndexOf('e');
string z1 = z.Remove(ind);
string z2 = z.Substring(ind + 1);
double sq = Convert.ToDouble(z2, CultureInfo.InvariantCulture);
double res = Convert.ToDouble(z1, CultureInfo.InvariantCulture) * Math.Pow(10, sq);
Cluster.Add(res);
}
else
{
// double test = Convert.ToDouble(z, CultureInfo.InvariantCulture);
Cluster.Add(Convert.ToDouble(z, CultureInfo.InvariantCulture));
}
}
//Console.WriteLine(line);
Clusters.Add(new List <double>(Cluster));
Cluster.Clear();
}
}
List <Double> Cluster_new = new List <double>();
for (int i = 0; i < 20; i++)
{
for (int y = 0; y < Clusters.Count; y++)
{
Cluster_new.Add(Clusters[y][i]);
}
Clusters_new.Add(new List <double>(Cluster_new));
Cluster_new.Clear();
}
//List<int> arr = new List<int> { 12, 36, 48, 999 };
Double[] arr = Clusters_new[0].ToArray();
Double[] arr2 = Clusters_new[1].ToArray();
Statistics s = new Statistics();
Trendline t = s.CalculateLinearRegression(arr.Select(x => Convert.ToDouble(x)).ToArray(), arr2.Select(x => Convert.ToDouble(x)).ToArray());
ViewBag.x1 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2.Min());
ViewBag.x2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2.Max());
var y1 = t.Slope * arr2.Min() + t.Intercept;
var y2 = t.Slope * arr2.Max() + t.Intercept;
ViewBag.y1 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(y1);
ViewBag.y2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(y2);
ViewBag.Trendline1 = Convert.ToInt32(t.Start);
ViewBag.Trendline2 = Convert.ToInt32(t.End);
ViewBag.Countries = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr);
ViewBag.Countries2 = new System.Web.Script.Serialization.JavaScriptSerializer().Serialize(arr2);
ViewBag.Clusters_new = Clusters_new;
//ViewBag.test1 = 99;
ViewBag.y = "";
return(View());
}
