R執行報錯：Error in `[<-.ts`(`*tmp*`,...only replacement of elements is allowed

原因：

pred$mean是Time-Series類型，rbind函數不支持。通過as.double將其轉換成double類型即可。

修改前代碼：

all_predata_time <- data.frame(pd=0.1,Row=1,preRow=0,pt=0.1,stasid='1',InitDate='1');
all_predata_time <- all_predata_time[-1,]

stasPowerPre_Time <- function(staid){
  testSrc<-......
  if(nrow(testSrc)>0)
  {
    maxDate <- max(testSrc$bizdate)
    tsd<- ts(testSrc$dp,start=c(2016,01,01),frequency=365)
    str(tsd)
    x <- ets(tsd)
    pred <- forecast(x,h=365)
    
    predata <- data.frame(pd = pred$mean)
    predata$Row <-as.integer(row.names(predata));
    predata$preRow <- predata$Row -1;
    predata$pt <- as.double(c(0));
    predata$stasid <- staid;
    predata$InitDate <- maxDate ;
    all_predata_time <<- rbind(all_predata_time,predata)
  }
}

　　

修改后代碼：

all_predata_time <- data.frame(pd=0.1,Row=1,preRow=0,pt=0.1,stasid='1',InitDate='1');
all_predata_time <- all_predata_time[-1,]

stasPowerPre_Time <- function(staid){
  testSrc<-......
  if(nrow(testSrc)>0)
  {
    maxDate <- max(testSrc$bizdate)
    tsd<- ts(testSrc$dp,start=c(2016,01,01),frequency=365)
    str(tsd)
    x <- ets(tsd)
    pred <- forecast(x,h=365)
    
  predata <- data.frame(pd = as.double(pred$mean))
    predata$Row <-as.integer(row.names(predata));
    predata$preRow <- predata$Row -1;
    predata$pt <- as.double(c(0));
    predata$stasid <- staid;
    predata$InitDate <- maxDate ;
    all_predata_time <<- rbind(all_predata_time,predata)
  }
}

　　

 

參考：https://blog.csdn.net/wlt9037/article/details/74389807