Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
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
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
100 | |
78 | |
76 | |
52 |
User | Count |
---|---|
144 | |
109 | |
108 | |
88 | |
61 |