Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hi,
I am using below R code to generate Arima Forecast. The plot is successful and I dont want to see negative values in the plot. I used the lambda=0 in the arima() and my plot date is greater than zero records only. Still I am seeing negative predicions.
.
Is there anyway to prevent this. Below is my R code.
library(xts) library("forecast") dates=as.Date(dataset$ReceivedDate,"%Y-%m-%d") xs=xts(dataset$Volume,dates,frequency=12) plot(xs) arima1 <-arima(xs,order=c(2,1,5),seasonal=list(order=c(0,1,1),period=12,lambda=0)) q=forecast(arima1,h=60,level=c(99.5)) plot(q,col ="darkcyan",xaxt = 'n',xlab='Year', ylab = 'Volume',main='Inventory Forecast (Arima)') axis(side=1,at=c(0,50,100,150,200),labels=c("Aug 2016","Oct 2016","Dec 2016","Jan 2017","Mar 2017")) file.remove("D:/fitarima.csv") write.table(q,file="D:/fitarima.csv", append=TRUE,sep=",",col.names=TRUE,row.names=TRUE)
Regards,
Senthil D
Hi,
Thanks for your input, But using this, prediction line shows as constant.
Do We have any other way to achieve the positive prediction since we have positive values as resource data ?
Regards,
Senthil D
Hi,
Is any update for the above.
Regards,
Senthil D
User | Count |
---|---|
140 | |
113 | |
104 | |
77 | |
65 |
User | Count |
---|---|
136 | |
117 | |
101 | |
71 | |
61 |