dist_binom_plot: Visualize binomial distribution

Description Usage Arguments Value Deprecated functions See Also Examples

View source: R/dist-binomial.R

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

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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

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 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

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# visualize binomial distribution
dist_binom_plot(10, 0.3)

# 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')

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

rsquaredacademy/descriptr documentation built on Oct. 7, 2018, 1:02 p.m.