dbinoms: Calculate probabilities and draw graphics for a binomial...

dbinomsR Documentation

Calculate probabilities and draw graphics for a binomial distribution

Description

This function draws graphics for a certain number of repetitions of an experiment, at a certain probability of success, and calculates the probability of obtaining one or more values from a random variable.

Usage

dbinoms(x, size, prob, log = FALSE, draw = FALSE,
        zoom = FALSE, new = FALSE, text = FALSE)

Arguments

x

Number of favourable outcomes: a value or a vector of values

size

Number of repetitions

prob

Probability of success

log

Logical; if TRUE, the probability is returned as log(p)

draw

Logical; if TRUE, draws the binomial distribution

zoom

Logical; if TRUE, eliminates from the graphic all numbers with probability equal to zero

new

Logical; if TRUE, a new window will be created for each graphic

text

Logical; if TRUE, display the probability above each bar

Author(s)

Adrian Dusa

See Also

dbinom

Examples

# 8 repetitions, with a 0.5 probability of success, calculate the
# probability of obtaining between 2 and 4 favourable outcomes
dbinoms(2:4, 8, 0.5)

# less than 7 favourable outcomes
dbinoms(0:6, 8, 0.5)

#at most 7 favourable outcomes
dbinoms(0:7, 8, 0.5)

# above 5 favourable outcomes
dbinoms(6:8, 8, 0.5)

# at least 5 favourable outcomes
dbinoms(5:8, 8, 0.5)

# exactly 6 favourable outcomes
dbinoms(6, 8, 0.5)

# 1, 3 or 6 favourable outcomes
dbinoms(c(1, 3, 6), 8, 0.5)

# same, drawing the graphic
dbinoms(c(1, 3, 6), 8, 0.5, draw = TRUE)

# same, drawing the probabilities in the graphic
dbinoms(c(1, 3, 6), 8, 0.5, draw = TRUE, text = TRUE)


dusadrian/statistics documentation built on Jan. 26, 2023, 11:55 p.m.