R语言学习-问题解决-Error in `[<-.ts`(`*tmp*`,...only replacement of elements is allowed
2017-07-05 10:55
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在输出时间序列结果的时候，出现以下问题：
这个类型前所未见，查后得知是时间序列类型，附带时间属性。现在我并不需要它的时间，因此用as.numeric()做一个强制转换：
for (n in 0:99)
{
salesTS <-ts(src_dat$rate_m[(1+24*n):(24*n+24)],frequency=12,start=c(2015,1,1))
salesForecasts<- HoltWinters(salesTS)
salesForecast2<- forecast:::forecast.HoltWinters(salesForecasts,h=12)
output <- rbind(output,data.frame(prd_code=src_dat$prod_no[(1+24*n)],year="2017",month=seq(1:12),rate=salesForecast2$mean) )
}
Error in `[<-.ts`(`*tmp*`, ri, value = c(2.7110254334953, 2.95418132827278, :
only replacement of elements is allowed提示rbind的时候出错，分别查看rbind两端的数据> output prd_code year month rate 1 13213798874 2017 1 2.711025 2 13213798874 2017 2 2.954181 3 13213798874 2017 3 2.561491 4 13213798874 2017 4 2.313876 5 13213798874 2017 5 1.948865 6 13213798874 2017 6 1.329617 7 13213798874 2017 7 2.550668 8 13213798874 2017 8 2.089158 9 13213798874 2017 9 1.909078 10 13213798874 2017 10 2.006295 11 13213798874 2017 11 1.941801 12 13213798874 2017 12 1.855000 > tmp<-data.frame(prd_code=src_dat$prod_no[(1+24*n)],year="2017",month=seq(1:12),rate=salesForecast2$mean) > tmp prd_code year month rate 1 13213818469 2017 1 2.711025 2 13213818469 2017 2 2.954181 3 13213818469 2017 3 2.561491 4 13213818469 2017 4 2.313876 5 13213818469 2017 5 1.948865 6 13213818469 2017 6 1.329617 7 13213818469 2017 7 2.550668 8 13213818469 2017 8 2.089158 9 13213818469 2017 9 1.909078 10 13213818469 2017 10 2.006295 11 13213818469 2017 11 1.941801 12 13213818469 2017 12 1.855000显示并没有什么问题，那么分析下各个列的属性
> class(output) [1] "data.frame" > str(output) 'data.frame': 12 obs. of 4 variables: $ prd_code: num 1.32e+10 1.32e+10 1.32e+10 1.32e+10 1.32e+10 ... $ year : Factor w/ 1 level "2017": 1 1 1 1 1 1 1 1 1 1 ... $ month : int 1 2 3 4 5 6 7 8 9 10 ... $ rate : Time-Series from 2017 to 2018: 2.71 2.95 2.56 2.31 1.95 ... > class(tmp) [1] "data.frame" > str(tmp) 'data.frame': 12 obs. of 4 variables: $ prd_code: num 1.32e+10 1.32e+10 1.32e+10 1.32e+10 1.32e+10 ... $ year : Factor w/ 1 level "2017": 1 1 1 1 1 1 1 1 1 1 ... $ month : int 1 2 3 4 5 6 7 8 9 10 ... $ rate : Time-Series from 2017 to 2018: 2.71 2.95 2.56 2.31 1.95 ...
这个类型前所未见，查后得知是时间序列类型，附带时间属性。现在我并不需要它的时间，因此用as.numeric()做一个强制转换：
output <- rbind(output,data.frame(prd_code=src_dat$prod_no[(1+24*n)],year="2017",month=seq(1:12),rate=as.numeric(salesForecast2$mean)) )问题解决。
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