问题描述
我正在尝试对多个时间序列进行Holt预测,并将其与我的原始data.frame相结合。考虑以下data.frame,其中有两个人口群体:
library("forecast")
d <- data.frame(SEX = c("MALE","MALE","FEMALE","FEMALE"),EDUCATION = c("01","01","01"),TIME = c("2000","2001","2002","2000","2002"),VALUE = c(120,150,140,90,75,60))
然后我要对两个时间序列进行Holt预测:
male <- ts(as.numeric(d[1:3,]$VALUE),start=c(2000))
female <- ts(as.numeric(d[4:6,start=c(2000))
forecastmale <- holt(male,h = 3,damped = FALSE)
forecastfemale <- holt(female,damped = FALSE)
然后我保存结果并与原始数据结合在一起。
forecastmale <- data.frame(forecastmale[["mean"]])
forecastfemale <- data.frame(forecastfemale[["mean"]])
forecastmale$SEX <- c("MALE","MALE")
forecastmale$EDUCATION <- c("01","01")
forecastmale$TIME <- c("2003","2004","2005")
colnames(forecastmale)[1] <- "VALUE"
forecastmale <- forecastmale[,c(2,3,4,1)]
forecastfemale$SEX <- c("FEMALE","FEMALE")
forecastfemale$EDUCATION <- c("01","01")
forecastfemale$TIME <- c("2003","2005")
colnames(forecastfemale)[1] <- "VALUE"
forecastfemale <- forecastfemale[,1)]
d <- rbind(d,forecastmale,forecastfemale)
当我只有两个时间序列时,此方法有效。但是,如果我必须预测100个时间序列,那么这并不是一种非常有效的方法。任何人都可以帮助提高编码效率,因此,例如,如果我在data.frame中包括一个额外的填充组,那么我在代码中没有任何更改吗?
解决方法
这是fable
包旨在处理的内容。这是一个使用与您相同的数据结构的示例。
library(dplyr)
library(tsibble)
library(fable)
# Artifical data
df <- expand.grid(
education = 1:3,sex = c("male","female"),year = 1990:2002
) %>%
as_tsibble(index=year,key=c(sex,education)) %>%
mutate(value = rnorm(78))
# Fit Holt's method to each series and forecast 3 years ahead
df %>%
model(holt = ETS(value ~ trend("A"))) %>%
forecast(h=3)
#> # A fable: 18 x 6 [1Y]
#> # Key: sex,education,.model [6]
#> sex education .model year value .mean
#> <fct> <int> <chr> <dbl> <dist> <dbl>
#> 1 male 1 holt 2003 N(0.14,1.7) 0.137
#> 2 male 1 holt 2004 N(0.17,1.7) 0.171
#> 3 male 1 holt 2005 N(0.21,1.7) 0.205
#> 4 male 2 holt 2003 N(-0.75,1.5) -0.749
#> 5 male 2 holt 2004 N(-0.84,1.8) -0.837
#> 6 male 2 holt 2005 N(-0.93,2) -0.926
#> 7 male 3 holt 2003 N(0.51,0.7) 0.514
#> 8 male 3 holt 2004 N(0.53,0.7) 0.530
#> 9 male 3 holt 2005 N(0.55,0.7) 0.546
#> 10 female 1 holt 2003 N(0.44,0.98) 0.445
#> 11 female 1 holt 2004 N(0.47,0.98) 0.470
#> 12 female 1 holt 2005 N(0.5,0.98) 0.495
#> 13 female 2 holt 2003 N(0.13,0.89) 0.127
#> 14 female 2 holt 2004 N(0.15,0.89) 0.148
#> 15 female 2 holt 2005 N(0.17,0.89) 0.168
#> 16 female 3 holt 2003 N(0.78,1.8) 0.781
#> 17 female 3 holt 2004 N(0.88,1.8) 0.880
#> 18 female 3 holt 2005 N(0.98,1.8) 0.978
由reprex package(v0.3.0)于2020-09-05创建