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

 1 2 3 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

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 # 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.