【发布时间】：2022-01-26 19:42:28
【问题描述】：
由于数据是降雨量，我想用 0 替换点预测和区间中的负值。如何在 R 中做到这一点？寻找可以进行所需更改的 R 代码。
使用 ARIMA 模型在 R 中获得的预测值如下所示
> Predictions
Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
Jan 2021 -1.6625108 -165.62072 162.2957 -252.41495 249.0899
Feb 2021 0.8439712 -165.57869 167.2666 -253.67752 255.3655
Mar 2021 35.9618300 -130.53491 202.4586 -218.67297 290.5966
Apr 2021 53.4407679 -113.05822 219.9398 -201.19746 308.0790
May 2021 206.7464927 40.24744 373.2455 -47.89184 461.3848
Jun 2021 436.2547446 269.75569 602.7538 181.61641 690.8931
Jul 2021 408.2814434 241.78239 574.7805 153.64311 662.9198
Aug 2021 431.7649076 265.26585 598.2640 177.12657 686.4032
Sep 2021 243.5520546 77.05300 410.0511 -11.08628 498.1904
Oct 2021 117.4581047 -49.04095 283.9572 -137.18023 372.0964
Nov 2021 25.0773401 -141.42171 191.5764 -229.56098 279.7157
Dec 2021 28.9468415 -137.55188 195.4456 -225.69098 283.5847
Jan 2022 -0.4912674 -171.51955 170.5370 -262.05645 261.0739
Feb 2022 2.2963271 -168.86759 173.4602 -259.47630 264.0690
Mar 2022 43.3561613 -127.81187 214.5242 -218.42275 305.1351
Apr 2022 48.6538398 -122.51431 219.8220 -213.12526 310.4329
May 2022 228.4762035 57.30805 399.6444 -33.30290 490.2553
Jun 2022 445.3540781 274.18592 616.5222 183.57497 707.1332
Jul 2022 441.8287867 270.66063 612.9969 180.04968 703.6079
Aug 2022 592.5766086 421.40845 763.7448 330.79751 854.3557
Sep 2022 220.6996396 49.53148 391.8678 -41.07946 482.4787
Oct 2022 158.7952154 -12.37294 329.9634 -102.98389 420.5743
Nov 2022 29.9052184 -141.26288 201.0733 -231.87380 291.6842
Dec 2022 25.9432583 -145.22303 197.1095 -235.83298 287.7195
【问题讨论】：
标签： r time-series forecasting arima forecast