These functions simplify simulating coin tosses for those (students primarily) who are not yet familiar with the binomial distributions or just like this syntax and verbosity better.

rflip(
n = 1,
prob = 0.5,
quiet = FALSE,
verbose = !quiet,
summarize = FALSE,
summarise = summarize
)

# S3 method for cointoss
print(x, ...)

nflip(n = 1, prob = 0.5, ...)

## Arguments

n

the number of coins to toss

prob

probability of heads on each toss

quiet

a logical. If TRUE, less verbose output is used.

verbose

a logical. If TRUE, more verbose output is used.

summarize

if TRUE, return a summary (as a data frame).

summarise

alternative spelling for summarize.

x

an object

...

## Value

for rflip, a cointoss object

for nflip, a numeric vector

## Examples

rflip(10)
#>
#> Flipping 10 coins [ Prob(Heads) = 0.5 ] ...
#>
#> T H H H H H T H T H
#>
#>
rflip(10, prob = 1/6, quiet = TRUE)
rflip(10, prob = 1/6, summarize = TRUE)
#> 1 10     2     8 0.1666667
do(5) * rflip(10)
#> Using parallel package.
#>   * Set seed with set.rseed().
#>   * Disable this message with options(mosaic:parallelMessage = FALSE)