perc01: Compute specific percentiles of a numeric variable.

In reyesem/IntroAnalysis: Functions for introductory statistics using linear models

Compute specific percentiles of a numeric variable.

Description

These are wrappers for the more common quantile function which computes the most commonly used percentiles. Functions beginning with perc compute the corresponding percentile; functions beginning with Q compute the corresponding quartile, and IQR computes the interquartile range.

Usage

perc01(x, na.rm = FALSE, type = 7)

perc05(x, na.rm = FALSE, type = 7)

perc10(x, na.rm = FALSE, type = 7)

perc20(x, na.rm = FALSE, type = 7)

perc80(x, na.rm = FALSE, type = 7)

perc85(x, na.rm = FALSE, type = 7)

perc90(x, na.rm = FALSE, type = 7)

perc95(x, na.rm = FALSE, type = 7)

perc99(x, na.rm = FALSE, type = 7)

Q1(x, na.rm = FALSE, type = 7)

Q3(x, na.rm = FALSE, type = 7)

Arguments

x	numeric vector whose sample quantiles are wanted. NA and NaN values are not allowed in numeric vectors unless na.rm is TRUE.
na.rm	logical; if TRUE, any NA or NaN's are removed from x before the quantiles are computed.
type	an integer between 1 and 9 selecting one of the nine quantile algorithms detailed in quantile.

Functions

• perc05():

• perc10():

• perc20():

• perc80():

• perc85():

• perc90():

• perc95():

• perc99():

• Q1():

• Q3():

Examples

summarize_variable(mpg ~ 1, data = mtcars, perc01)

reyesem/IntroAnalysis documentation built on March 29, 2025, 3:29 p.m.