基本信息
源码名称:C# 一元线性回归
源码大小:0.01M
文件格式:.zip
开发语言:C#
更新时间:2020-07-21
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源码介绍
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Text;
using System.Windows.Forms;
namespace LinearRegression
{
using Statistics;
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
private void button1_Click(object sender, EventArgs e)
{
int N = int.Parse(txtOrder.Text);
double[] y = new double[grid.Rows.Count - 1];
double[,] x = new double[N 1, grid.Rows.Count - 1];
double[] w = new double[grid.Rows.Count - 1];
for (int i = 0; i < grid.Rows.Count-1; i )
{
if (grid.Rows[i].Cells[0].Value != null)
{
x[0, i] = 1;
double xx = double.Parse(grid.Rows[i].Cells[2].Value.ToString());
double term = xx;
for (int j = 1; j <= N; j )
{
x[j, i] = term;
term *= xx;
}
if (chkLogY.Checked)
{
y[i] = Math.Log(double.Parse(grid.Rows[i].Cells[3].Value.ToString()));
w[i] = double.Parse(grid.Rows[i].Cells[1].Value.ToString());
}
else
{
y[i] = double.Parse(grid.Rows[i].Cells[3].Value.ToString());
w[i] = double.Parse(grid.Rows[i].Cells[1].Value.ToString());
}
}
}
LinearRegression linReg = new LinearRegression();
linReg.Regress(y, x, w);
Form2 frm = new Form2();
frm.C = linReg.C;
frm.SEC = linReg.SEC;
frm.ShowDialog();
}
private void Form1_Shown(object sender, EventArgs e)
{
Random r = new Random();
for (int i = 0; i < 20; i )
{
int row = grid.Rows.Add();
grid.Rows[row].Cells[0].Value = i.ToString();
grid.Rows[row].Cells[1].Value = "1";
grid.Rows[row].Cells[2].Value = (i / 10.0).ToString();
grid.Rows[row].Cells[3].Value = (4.0 3.0 * i / 10.0 r.NextDouble()/10.0).ToString();
}
}
private void chkLogY_CheckedChanged(object sender, EventArgs e)
{
for (int r = 0; r < grid.Rows.Count - 1; r )
{
if (chkLogY.Checked)
{
double x = double.Parse(grid.Rows[r].Cells[3].Value.ToString());
grid.Rows[r].Cells[1].Value = (x * x).ToString();
}
else
{
grid.Rows[r].Cells[1].Value = "1";
}
}
}
}
}