Add confidence band to R IRF Plot

Question

I use following example code to plot an impulse response function:

# Load data and apply VAR

library("vars")

data(Canada)

data <- Canada

data <- data.frame(data[,1:2])

names(data)

var <- VAR(data, p=2, type = "both")



# Apply IRf

irf <- irf(var, impulse = "e", response = "prod", boot = T, cumulative = FALSE, n.ahead = 20)

str(irf)

plot(irf)



# Response

irf$irf

# Lower & Higher

irf$Lower

irf$Upper



#Create DataFrame and Plot

irf_df <- data.frame(irf$irf,irf$Lower,irf$Upper)

irf_df$T<-seq.int(nrow(irf_df)) #T

irf_df

plot(data.frame(irf_df$T, irf_df[1]), type="l", main="Impulse Response")

abline(h=0, col="blue", lty=2)

It looks like it works so far, though I sense that the code could be improved.

Would it be possible to add a confidence band for the Lower and Upper bounds of the confidence interval?

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Answer 1

If you want to plot the Lower and Upper bands, you can use the lines() function, setting the y-limits of the plot if desired.

plot(irf_df$T, irf_df$prod, type="l", main="Impulse Response",
    ylim = c(min(irf_df$prod.1), max(irf_df$prod.2)) * 1.1)
abline(h=0, col="blue", lty=2)
lines(irf_df$T, irf_df$prod.1, lty = 2)
lines(irf_df$T, irf_df$prod.2, lty = 2)

For a fancier plot with the confidence band filled in, use polygon. Here, we set up an empty plot, then plot the polygon, and finally overlay the line. Also note here that there's no need to set up a new data.frame: we can simply use values from the irf() output:

plot(irf$irf$e, type = "n", main = "Impulse Response",
    ylim = c(min(irf$Lower$e), max(irf$Upper$e)))
polygon(x = c(seq_along(irf$irf$e), rev(seq_along(irf$irf$e))),
        y = c(irf$Lower$e, rev(irf$Upper$e)),
        lty = 0, col = "#fff7ec")
lines(irf$irf$e)

Output:

Add confidence band to R IRF Plot

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