get_boxplot_range_1d: Create data ranges based boxplots statistics and outliers

In Issoufou-Liman/decisionSupportExtra: Miscellaneous Functions for Quantitative Support of Decision Making under Uncertainty

Description

Take a vector of data and returns the bounds corresponding the boxplot specifications.

Usage

get_boxplot_range_1d(x, split_IQR = TRUE, na.rm = TRUE, type = 5, ...)

Arguments

x	numeric. A vector from which the ranges are to be derived based on quantiles. NA and NaN values are not allowed unless na.rm is TRUE.
split_IQR	logical. Should the inter-quartile range be split at the median to form different ranges? The default is TRUE
na.rm	logical; if true, any NA and 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 below to be used.
...	further arguments passed to or from other methods.

Details

The ranges are bounded by the lower outlier (if any), extreme of the lower whisker, the lower ‘hinge’, the median, the upper ‘hinge’, the extreme of the upper whisker, and the upper outlier (if any).

Value

A numeric vector containing the bounds labelled as out_min (the lower outlier), ymin (the extreme of the lower whisker), lower (the lower ‘hinge’), middle (the median), upper (the upper ‘hinge’), ymax (the extreme of the upper whisker), out_max (the upper outlier).

Author(s)

Issoufou Liman

Examples

sample <- rnorm(100)
get_boxplot_range_1d (sample)

Issoufou-Liman/decisionSupportExtra documentation built on Dec. 21, 2020, 6:28 p.m.