median_index: Find index of interest for each vector

In rearrr: Rearranging Data

Find index of interest for each vector

Description

\Sexpr[results=rd, stage=render]{lifecycle::badge("experimental")}

Applies function to the indices of each vector in `...`.

These functions were created with create_n_fn().

Usage

median_index(..., negate = FALSE, round_fn = round)

quantile_index(..., prob, type = 7, negate = FALSE, round_fn = round)

Arguments

...	Numeric vectors.
negate	Whether to negate the result. I.e. to multiply it with -1. (Logical)
round_fn	Function for rounding output. Rounding is done prior to negation. E.g. round, floor, or ceiling.
prob	Probability in [0,1] for quantile().
type	Quantile algorithm to use. See quantile().

Value

numeric vector with one element per supplied vector.

Author(s)

Ludvig Renbo Olsen, [e-mail]

See Also

Other n functions: create_n_fn()

Examples

# Attach packages
library(rearrr)

# Set seed
set.seed(1)

# Create three vectors
x <- runif(10)
y <- runif(15)
z <- runif(20)

median_index(x, y, z)
quantile_index(x, y, z, prob = 0.2)

# Negate result
median_index(x, y, z, negate = TRUE)

rearrr documentation built on April 4, 2025, 1:07 a.m.