View source: R/distribution_convertors.R
norm2binom | R Documentation |
Convert normal to binomial
norm2binom(x, size = 1, prob = 0.5, mu = mean(x), sd = stats::sd(x))
x |
the normally distributed vector |
size |
number of trials (0 or more) |
prob |
the probability of success on each trial (0 to 1) |
mu |
the mean of x (calculated from x if not given) |
sd |
the SD of x (calculated from x if not given) |
a vector with a binomial distribution
x <- rnorm(10000)
y <- norm2binom(x)
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")
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