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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
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library(ggplot2)
library(fpp2)
## Loading required package: forecast
## Loading required package: fma
## Loading required package: expsmooth
mydata<-read.csv("~/Downloads/quarterly-change-in-business-inv.csv")
nrow(mydata)
## [1] 61
myts<-ts(mydata)
autoplot(myts)
mytsone<-ts(mydata[1:61,1],frequency=4)
oneone<-nnetar(mytsone)
three<-autoplot(forecast(oneone,h=12))
plot(three)
four<-autoplot(forecast(oneone,h=30))
plot(four)
mytsthree<-ts(mydata[4:61,1],frequency=4)
fourfour<-nnetar(mytsthree)
eight<-autoplot(forecast(fourfour,h=4))
plot(eight)