hist: Histogram of Compositional Data

Description

Produces an histogram of univariate ILR data (see Filzmoser et al., 2009).

Usage

# S4 method for CompositionMatrix
hist(
  x,
  ...,
  select = 1,
  breaks = "Sturges",
  freq = FALSE,
  labels = FALSE,
  main = NULL,
  sub = NULL,
  ann = graphics::par("ann"),
  axes = TRUE,
  frame.plot = axes
)

Value

hist() is called for its side-effects: is results in a graphic being displayed (invisibly return x).

Arguments

x: A CompositionMatrix object.
...: Further graphical parameters.
select: A length-one vector of column indices.
breaks: An object specifying how to compute the breakpoints (see graphics::hist()).
freq: A logical scalar: should absolute frequencies (counts) be displayed? If FALSE (the default), relative frequencies (probabilities) are displayed (see graphics::hist()).
labels: A logical scalar: should labels be drawn on top of bars? If TRUE, draw the counts or rounded densities; if labels is a character vector, draw itself.
main: A character string giving a main title for the plot.
sub: A character string giving a subtitle for the plot.
ann: A logical scalar: should the default annotation (title and x and y axis labels) appear on the plot?
axes: A logical scalar: should axes be drawn on the plot?
frame.plot: A logical scalar: should a box be drawn around the plot?

Author

N. Frerebeau

References

Filzmoser, P., Hron, K. & Reimann, C. (2009). Univariate Statistical Analysis of Environmental (Compositional) Data: Problems and Possibilities. Science of The Total Environment, 407(23): 6100-6108. tools:::Rd_expr_doi("10.1016/j.scitotenv.2009.08.008").

Examples

Run this code

## Data from Aitchison 1986
data("hongite")

## Coerce to compositional data
coda <- as_composition(hongite)

## Boxplot plot
hist(coda, select = "A")
hist(coda, select = "B")

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