RV: Make a random variable consisting of possible outcome values...

In discreteRV: Create and Manipulate Discrete Random Variables

Description

Make a random variable consisting of possible outcome values and their probabilities or odds

Usage

RV(outcomes, probs = NULL, odds = NULL, fractions = (class(probs) !=
  "function"), range = any(is.infinite(outcomes)), verifyprobs = TRUE,
  id = rnorm(1), ...)

Arguments

outcomes	Vector of possible outcomes
probs	Vector of probabilities or function defining probabilities
odds	Vector of odds
fractions	If TRUE, return the probabilities as fractions when printing
range	If TRUE, outcomes specify a range of values in the form c(lower, upper)
verifyprobs	If TRUE, verify that the probs sum to one
id	Set the id of the random variable
...	Additional parameters passed to the function defining outcome probabilities

Value

random variable as RV object.

Examples

# Make a 50:50 Bernoulli random variable:
X.Bern <- RV(c(1,0), c(.5,.5))

# An equivalent method
X.Bern <- RV("bernoulli")

# Make a fair coin flip game with payoffs +$1 and -$1:
X.fair.coin <- RV(c(1,-1), c(.5,.5))

# Make a biased coin flip game with odds 1:2 and with fair payoffs +$2 and -$1
X.biased.coin <- RV(c(2,-1), odds = c(1,2))

# Make a fair die
X.fair.die <- RV(1:6, 1/6)

# Make a loaded die, specifying odds 1:1:1:1:2:4 rather than probabilities:
X.loaded.die <- RV(1:6, odds = c(1,1,1,1,2,4))

# Make a Poisson random variable
pois.func <- function(x, lambda) { lambda^x * exp(-lambda) / factorial(x) }
X.pois <- RV(c(0, Inf), pois.func, lambda = 5)

# An equivalent method
X.pois <- RV("poisson")

Example output

Attaching package: 'discreteRV'

The following object is masked from 'package:base':

    %in%

discreteRV documentation built on May 2, 2019, 11:04 a.m.