mycisVar | R Documentation |
Simulate normal distributions for the purpose of illustrating desirable properties of estimators
mycisVar(N = 5, R = 10, mean = 100, std = 15)
N |
Number of samples |
R |
Number of replications |
mean |
Mean of population |
std |
Standard deviation of population |
p1 <- mycisVar(N = 10, R = 10) g1 <- p1$g + ggplot2::scale_x_continuous(limits = c(0, 1700)) p2 <- mycisVar(N = 50, R = 10) g2 <- p2$g + ggplot2::scale_x_continuous(limits = c(0, 1700)) p3 <- mycisVar(N = 500, R = 10) g3 <- p3$g + ggplot2::scale_x_continuous(limits = c(0, 1700)) gridExtra::grid.arrange(g1, g2, g3, nrow = 3)
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