| qqplot.rga | R Documentation |
This function creates a Q-Q plot for a fitted Reliability Growth Analysis (RGA) model Currently only supports the Crow-AMSAA model. A Q-Q plot compares the quantiles of the empirical data to the quantiles of the theoretical distribution specified by the model. If the model fits well, the points should fall approximately along a straight line.
qqplot.rga(x, main = "Q-Q Plot", ...)
x |
An object of class |
main |
Title of the plot. |
... |
Additional arguments passed to |
A Q-Q plot comparing empirical and theoretical quantiles.
Other goodness-of-fit:
ppplot.rga()
times <- c(5, 10, 15, 20, 25)
failures <- c(1, 2, 1, 3, 2)
fit <- rga(times, failures)
qqplot.rga(fit)
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