多个时间序列的Auto Arima-Java 学习之路

我每周（2015年1月至2017年4月）有多种产品的销售数据 . 我正在尝试使用Auto Arima来预测未来 . 对于许多产品，我一直在输出NA . 这是我的示例代码 . 你可以帮我解决我在代码中出错的地方 .

Data1 <- ts(R_Input_Stats[,-1],f=52,s=2015+2/52)
h <- 25
ns <- ncol(Data1)
arimaforecast <- matrix(NA, nrow=h, ncol=ns)
for (i in 1:ns){
  arimaforecast[,i] <- forecast(auto.arima(Data1[,i]), h=h,)$mean}
write(t(arimaforecast),file="R_Output_Stats_ArimaAllSKus.csv",sep=",",ncol=ncol(arimaforecast))

你也可以用“lapply”替换上面的“for loop”吗？如果我想知道每个产品的Auto Arima的顺序？感谢您的回复示例数据样本数据

structure(c(65L, 195L, 110L, 58L, 0L, 273L, 45L, 36L, 15L, 11L, 
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    "1420133-204", "1420133-210", "1420133-211", "1420133-217", 
    "1420133-300", "1420133-303")), .Tsp = c(2015.03846153846, 
2015.13461538462, 52), class = c("mts", "ts", "matrix"))

多个时间序列的Auto Arima

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