tmbeta
语法
tmbeta(T, Y, X, window)
参数说明和窗口计算规则请参考：tmFunctions
详情
在给定长度（以时间长度衡量）的移动窗口中，计算 Y 在 X 上的回归系数的最小二乘估计。
例子
T = 1 1 1 2 5 6
X = 1 4 2 -1 2 4
Y = 2 5 -3 6 9 1
m = table(T as t,X as x, Y as y)
select *, tmbeta(t, y, x, 3) from m| t | x | y | tmbeta_t |
|---|---|---|---|
| 1 | 1 | 2 | |
| 1 | 4 | 5 | 1 |
| 1 | 2 | -3 | 1.4286 |
| 2 | -1 | 6 | -0.3846 |
| 5 | 2 | 9 | |
| 6 | 4 | 1 | -4 |
T = 2021.01.02 2021.01.02 2021.01.04 2021.01.05 2021.01.07 2021.01.08
X = 1 4 2 -1 2 4
Y = 2 5 -3 6 9 1
m = table(T as t,X as x, Y as y)
select *, tmbeta(t, y, x, 3d) from m| t | x | y | tmcorr_t |
|---|---|---|---|
| 2021.01.02 | 1 | 2 | |
| 2021.01.02 | 4 | 5 | 1 |
| 2021.01.04 | 2 | -3 | 1.4286 |
| 2021.01.05 | -1 | 6 | -3 |
| 2021.01.07 | 2 | 9 | 1 |
| 2021.01.08 | 4 | 1 | -4 |
select *, tmbeta(t, y, x, 1w) from m| t | x | y | tmcorr_t |
|---|---|---|---|
| 2021.01.02 | 1 | 2 | |
| 2021.01.02 | 4 | 5 | 1 |
| 2021.01.04 | 2 | -3 | 1.4286 |
| 2021.01.05 | -1 | 6 | -0.3846 |
| 2021.01.07 | 2 | 9 | -0.1818 |
| 2021.01.08 | 4 | 1 | -0.4444 |