我正在构建一个 .net 页面以模拟电子表格。该表格包含以下公式:
=ROUND(TREND(AA7:AE7,AA$4:AE$4,AF$4),1)
有人能提供
TREND()
的C#等效代码吗?或者如果有人可以提供一个快捷方式也可以; 我对数学不是很熟悉,不知道是否有更简单的方法。以下是一些示例数字以帮助理解。
AA7:AE7
6 8 10 12 14
或
10.2 13.6 17.5 20.4 23.8
AA$4:AE$4
600 800 1000 1200 1400
AF$4
650
编辑:这是我想到的代码,它似乎产生与我的电子表格相同的数字。public static partial class Math2
{
public static double[] Trend(double[] known_y, double[] known_x, params double[] new_x)
{
// return array of new y values
double m, b;
Math2.LeastSquaresFitLinear(known_y, known_x, out m, out b);
List<double> new_y = new List<double>();
for (int j = 0; j < new_x.Length; j++)
{
double y = (m * new_x[j]) + b;
new_y.Add(y);
}
return new_y.ToArray();
}
// found at https://dev59.com/a1vUa4cB1Zd3GeqPsVJg
// with a few modifications
public static void LeastSquaresFitLinear(double[] known_y, double[] known_x, out double M, out double B)
{
if (known_y.Length != known_x.Length)
{
throw new ArgumentException("arrays are unequal lengths");
}
int numPoints = known_y.Length;
//Gives best fit of data to line Y = MC + B
double x1, y1, xy, x2, J;
x1 = y1 = xy = x2 = 0.0;
for (int i = 0; i < numPoints; i++)
{
x1 = x1 + known_x[i];
y1 = y1 + known_y[i];
xy = xy + known_x[i] * known_y[i];
x2 = x2 + known_x[i] * known_x[i];
}
M = B = 0;
J = ((double)numPoints * x2) - (x1 * x1);
if (J != 0.0)
{
M = (((double)numPoints * xy) - (x1 * y1)) / J;
//M = Math.Floor(1.0E3 * M + 0.5) / 1.0E3; // TODO this is disabled as it seems to product results different than excel
B = ((y1 * x2) - (x1 * xy)) / J;
// B = Math.Floor(1.0E3 * B + 0.5) / 1.0E3; // TODO assuming this is the same as above
}
}
}