Plot F Statistics
Plotting method for objects of class "Fstats"
## S3 method for class 'Fstats' plot(x, pval = FALSE, asymptotic = FALSE, alpha = 0.05, boundary = TRUE, aveF = FALSE, xlab = "Time", ylab = NULL, ylim = NULL, ...)
x |
an object of class |
pval |
logical. If set to |
asymptotic |
logical. If set to |
alpha |
numeric from interval (0,1) indicating the confidence level for which the boundary of the supF test will be computed. |
boundary |
logical. If set to |
aveF |
logical. If set to |
xlab, ylab, ylim, ... |
high-level |
Andrews D.W.K. (1993), Tests for parameter instability and structural change with unknown change point, Econometrica, 61, 821-856.
Hansen B. (1992), Tests for parameter instability in regressions with I(1) processes, Journal of Business & Economic Statistics, 10, 321-335.
Hansen B. (1997), Approximate asymptotic p values for structural-change tests, Journal of Business & Economic Statistics, 15, 60-67.
## Load dataset "nhtemp" with average yearly temperatures in New Haven data("nhtemp") ## plot the data plot(nhtemp) ## test the model null hypothesis that the average temperature remains ## constant over the years for potential break points between 1941 ## (corresponds to from = 0.5) and 1962 (corresponds to to = 0.85) ## compute F statistics fs <- Fstats(nhtemp ~ 1, from = 0.5, to = 0.85) ## plot the F statistics plot(fs, alpha = 0.01) ## and the corresponding p values plot(fs, pval = TRUE, alpha = 0.01) ## perform the aveF test sctest(fs, type = "aveF")
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