dchisq_rvec {rvec}

The Chi-Squared Distribution, Using Multiple Draws

Description

Density, distribution function, quantile function and random generation for the chi-squared distribution, modified to work with rvecs.

Usage

dchisq_rvec(x, df, ncp = 0, log = FALSE)

pchisq_rvec(q, df, ncp = 0, lower.tail = TRUE, log.p = FALSE)

qchisq_rvec(p, df, ncp = 0, lower.tail = TRUE, log.p = FALSE)

rchisq_rvec(n, df, ncp = 0, n_draw = NULL)

Arguments

x

Quantiles. Can be an rvec.

df

Degrees of freedom. See stats::dchisq(). Can be an rvec.

ncp

Non-centrality parameter. Default is 0. Cannot be an rvec.

log, log.p

Whether to return results on a log scale. Default is FALSE. Cannot be an rvec.

q

Quantiles. Can be an rvec.

lower.tail

Whether to return P[X \le x], as opposed to P[X > x]. Default is TRUE. Cannot be an rvec.

p

Probabilities. Can be an rvec.

n

The length of random vector being created. Cannot be an rvec.

n_draw

Number of random draws in the random vector being created. Cannot be an rvec.

Details

Functions dchisq_rvec(), pchisq_rvec(), pchisq_rvec() and rchisq_rvec() work like base R functions dchisq(), pchisq(), qchisq(), and rchisq(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rchisq_rvec() also returns an rvec if a value for n_draw is supplied.

dchisq_rvec(), pchisq_rvec(), pchisq_rvec() and rchisq_rvec() use tidyverse vector recycling rules:

• Vectors of length 1 are recycled

• All other vectors must have the same size

Value

• If any of the arguments are rvecs, or if a value for n_draw is supplied, then an rvec

• Otherwise an ordinary R vector.

See Also

• dchisq()

• pchisq()

• qchisq()

• rchisq()

• stats::distributions.

Examples

x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
dchisq_rvec(x, df = 3)
pchisq_rvec(x, df = 3)

rchisq_rvec(n = 2,
            df = 3:4,
            n_draw = 1000)