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Student t Distribution, Using Multiple Draws

Source: R/distributions.R
dt_rvec.Rd

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

Usage

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

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

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

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

Arguments

x

Quantiles. Can be an rvec.

df

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

ncp

Non-centrality parameter. Default is 0. See stats::dt(). 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.

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.

Details

Functions dt_rvec(), pt_rvec(), pt_rvec() and rt_rvec() work like base R functions dt(), pt(), qt(), and rt(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rt_rvec() also returns an rvec if a value for n_draw is supplied.

dt_rvec(), pt_rvec(), pt_rvec() and rt_rvec() use tidyverse vector recycling rules:

  • Vectors of length 1 are recycled

  • All other vectors must have the same size

See also

Examples

x <- rvec(list(c(-3.2, 5.3),
               c(-1.6, 2)))
dt_rvec(x, df = 4)
#> <rvec_dbl<2>[2]>
#> [1] 0.01568,0.002057 0.1089,0.06629  
pt_rvec(x, df = 4)
#> <rvec_dbl<2>[2]>
#> [1] 0.01645,0.997  0.09242,0.9419

rt_rvec(n = 2,
        df = c(3, 5),
        n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.039 (-3.3, 2.7) 0.065 (-2.7, 2.6)