Reputation: 385
In order to use ggplot to work with time-series I need to take a bunch of forecasted values and put them into a dataframe together with the corresponding dates.
I have used the following code to declare my initial vector a ts
name <- ts(name, frequency=12, start=c(2007,1))
I then fit the model using
fit <- auto.arima (name)
and extract prediction and prediction intervals as follows
name.for <- forecast(fit, 15)
name.for.low <- name.for$lower[,2]
name.for.up <- name.for$upper[,2]
I know hope to make a vector of dates, which starts where the time-series declared above ends and go forward n months
I guess I can use something like:
seq(as.Date('X'), length.out=n, by='1 month')
However, I want X to be dynamic, and be calculated from the time-series vector above
Upvotes: 4
Views: 65
Reputation: 2140
Does this work?
ts2<- ts(1:28, frequency=12, start=last(time(name )) )
as.Date(ts2)
Edit: if you want it to start from next month then add the fractional frequency to start
ts2<- ts(1:28, frequency=12, start=last(time(name )+1*deltat(name)) )
Upvotes: 0
Reputation: 23099
Try this:
library(lubridate)
jan31 <- ymd("2016-01-31")
n <- 4
jan31 %m+% months(n)
#[1] "2016-05-31"
n <- 5
jan31 %m+% months(n)
#[1] "2016-06-30"
Upvotes: 2