fastquantile: Calculate single quantile for numerical values

In dipsaus: A Dipping Sauce for Data Analysis and Visualizations

Calculate single quantile for numerical values

Description

Slightly faster than quantile with na.rm=TRUE. The internal implementation uses the 'C++' function std::nth_element, which is significantly faster than base R implementation when the length of input x is less than 1e7.

Usage

fastquantile(x, q)

Arguments

x	numerical vector (integers or double)
q	number from 0 to 1

Value

Identical to quantile(x, q, na.rm=TRUE)

Examples

# create input x with NAs
x <- rnorm(10000)
x[sample(10000, 10)] <- NA

# compute median
res <- fastquantile(x, 0.5)
res

# base method
res == quantile(x, 0.5, na.rm = TRUE)
res == median(x, na.rm = TRUE)

# Comparison
microbenchmark::microbenchmark(
  {
    fastquantile(x, 0.5)
  },{
    quantile(x, 0.5, na.rm = TRUE)
  },{
    median(x, na.rm = TRUE)
  }
)

dipsaus documentation built on June 27, 2024, 5:10 p.m.