Prob {probs}

Probability and Conditional Probability Calculates probability and conditional probability of events.

Description

Probability and Conditional Probability Calculates probability and conditional probability of events.

Usage

Prob(x, ...)

Arguments

x

a probability space or a subset of one.

...

further arguments to be passed to or from other methods.

Details

This function calculates the probability of events or subsets of a given sample space. Conditional probability is also implemented. In essence, the Prob() function operates by summing the probs column of its argument. It will find subsets on the fly if desired. The event argument is used to define a subset of x, that is, the only outcomes used in the probability calculation will be those that are elements of x and satisfy event simultaneously. In other words, Prob(x,event) calculates Prob(intersect(x, subset(x, event))). Consequently, x should be the entire probability space in the case that event is non-null. There is some flexibility in the given argument in that it can be either a data frame or it can be a logical expression that defines the subset. However, that flexibility is limited. In particular, if given is a logical expression, then event must also be specified (also a logical expression). And in this case, the argument x should be the entire sample space, not a subset thereof.

Value

A number in the interval [0,1].

Author(s)

G. Jay Kerns [e-mail].

See Also

probspace, iidspace

Examples

S <- rolldie(times = 3, makespace = TRUE )
Prob(S, X1+X2 > 9 )
Prob(S, X1+X2 > 9, given = X1+X2+X3 > 7 )