Random Lindley Mixture | R Documentation |
Generates random samples of a univariate Lindley Mixture.
rlindley_mix(n, pi, beta, plot.it = TRUE, empirical = FALSE, col.pop = "red3", col.empirical = "navy", ...)
n |
number of observations. |
pi |
vector of mixture weights. |
beta |
vector of parameters. |
plot.it |
logical; if TRUE (default), plot the histogram with estimated distribution curve. |
empirical |
logical; if TRUE, add the empirical curve ("Kernel Density Estimation") in the plot. |
col.pop |
a colour to be used in the curve of population density. |
col.empirical |
a colour to be used in the curve of empirical density. |
... |
further arguments and graphical parameters passed to hist. |
CASTRO, M. O.; MONTALVO, G. S. A.
## Generate a sample. data = rlindley_mix(n = 1000, pi = c(0.6, 0.4), beta = c(2, 3)) ## Sample vector. data$sample ## The histogram of the sample with population density curve. data$plot ## Not plotting the graphic. rlindley_mix(n = 1000, pi = c(0.6, 0.4), beta = c(2, 3), plot.it = FALSE) ## Adding the empirical curve to the graphic. rlindley_mix(n = 1000, pi = c(0.6, 0.4), beta = c(2, 3), plot.it = TRUE, empirical = TRUE) ## Changing the color of the curves. rlindley_mix(n = 1000, pi = c(0.6, 0.4), beta = c(2, 3), plot.it = TRUE, empirical = TRUE, col.pop = "blue",col.empirical = "green") ## Using "...". rlindley_mix(n = 1000, pi = c(0.6, 0.4), beta = c(2, 3), breaks = 300)
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