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qqskewlap produces a skew-Laplace QQ plot of the values in y.
qqskewlap
y
ppskewlap produces a skew-Laplace PP (percent-percent) or probability plot of the values in y.
ppskewlap
If line = TRUE, a line with zero intercept and unit slope is added to the plot.
line = TRUE
Graphical parameters may be given as arguments to qqskewlap, and ppskewlap.
qqskewlap(y, mu = 0, alpha = 1, beta = 1, param = c(mu, alpha, beta), main = "Skew-Laplace Q-Q Plot", xlab = "Theoretical Quantiles", ylab = "Sample Quantiles", plot.it = TRUE, line = TRUE, ...)ppskewlap(y, mu = 0, alpha = 1, beta = 1, param = c(mu, alpha, beta), main = "Skew-Laplace P-P Plot", xlab = "Uniform Quantiles", ylab = "Probability-integral-transformed Data", plot.it = TRUE, line = TRUE, ...)
ppskewlap(y, mu = 0, alpha = 1, beta = 1, param = c(mu, alpha, beta), main = "Skew-Laplace P-P Plot", xlab = "Uniform Quantiles", ylab = "Probability-integral-transformed Data", plot.it = TRUE, line = TRUE, ...)
For qqskewlap and ppskewlap, a list with components:
The x coordinates of the points that are be plotted.
The y coordinates of the points that are be plotted.
The data sample.
The location parameter, set to 0 by default.
The shape parameters, both set to 1 by default.
Parameters of the skew-Laplace distribution.
Plot labels.
Logical. TRUE denotes the results should be plotted.
Logical. If TRUE, a line with zero intercept and unit slope is added to the plot.
Further graphical parameters.
Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1--17.
ppoints, dskewlap.
ppoints
dskewlap
par(mfrow = c(1, 2)) y <- rskewlap(1000, param = c(2, 0.5, 1)) qqskewlap(y, param = c(2, 0.5, 1), line = FALSE) abline(0, 1, col = 2) ppskewlap(y, param = c(2, 0.5, 1))
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