我正在尝试在gnuplot中拟合数据(直方图)。我尝试了各种函数,通过查看我的直方图,我认为最合适的是对数正态或伽马分布,但我无法在gnuplot中做到这一点(我是gnuplot的新用户)。
这是具有高斯分布的直方图的图片:
此处还有gnuplot中的代码:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.IO.Ports;
namespace SERIAL_PORT
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
getavailableports();
}
void getavailableports()
{
string[] ports = SerialPort.GetPortNames();
comboBox1.Items.AddRange(ports);
}
private void Button1_Click(object sender, EventArgs e)
{
try
{
if (comboBox1.Text == "" || comboBox2.Text == "")
{
MessageBox.Show("please select port");
}
else
{
serialPort1.PortName = comboBox1.Text;
serialPort1.BaudRate = Convert.ToInt32(comboBox2.Text);
serialPort1.Open();
progressBar1.Value = 100;
// textBox2.Enabled = true;
button6.Enabled = true;
button7.Enabled = true;
textBox1.Enabled = true;
}
}
catch (UnauthorizedAccessException)
{
MessageBox.Show("no");
}
}
private void button2_Click(object sender, EventArgs e)
{
serialPort1.Close();
progressBar1.Value = 0;
button6.Enabled = false;
button7.Enabled = false;
textBox1.Enabled = false;
//textBox2.Enabled = false;
}
private void button6_Click(object sender, EventArgs e)
{
serialPort1.WriteLine(textBox1.Text + "");
textBox1.Text = "";
}
private void button7_Click(object sender, EventArgs e)
{
richTextBox1.Text = serialPort1.ReadExisting();
}
}
}
在文件hist.temp中是表格输出(see this link)