descriptr (version 0.3.0)

dist_binom_plot: Visualize Binomial Distribution

Description

Visualize how changes in number of trials and the probability of success affect the shape of the binomial distribution. compute\/visualize probability from a given quantile and quantiles out of given probability.

Usage

dist_binom_plot(n, p)
dist_binom_prob(n, p, s, type = c("lower", "upper", "exact", "interval"))
dist_binom_perc(n, p, tp, type = c("lower", "upper"))

Arguments

n

number of trials

p

aggregate probability

s

number of success

type

lower/upper/exact/interval

tp

the probability of success in a trial

Value

a list containing the following components:

avg

mean of the binomial distribution

stdev

standard deviation of the binomial distribution

prob

probability of s success

Deprecated Functions

binom_plot(), binom_prob(), binom_perc() have been deprecated. Instead use dist_binom_plot(), dist_binom_prob() and dist_binom_perc()

See Also

Binomial

Examples

# NOT RUN {
# visualize binomial distribution
dist_binom_plot(10, 0.3)

# compute\/visualize probability from a given quantile
dist_binom_prob(10, 0.3, 4, type = 'exact')
dist_binom_prob(10, 0.3, 4, type = 'lower')
dist_binom_prob(10, 0.3, 4, type = 'upper')
dist_binom_prob(10, 0.3, c(4, 6), type = 'interval')

# compute\/visualize quantiles out of given probability
dist_binom_perc(10, 0.5, 0.05)
dist_binom_perc(10, 0.5, 0.05, "upper")
# }