nexus (version 0.3.0)

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,
  ...,
  freq = FALSE,
  ncol = NULL,
  flip = 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 parameters to be passed to graphics::hist().

freq

A logical scalar: should absolute frequencies (counts) be displayed? If FALSE (the default), relative frequencies (probabilities) are displayed (see graphics::hist()).

ncol

An integer specifying the number of columns to use. Defaults to 1 for up to 4 parts, otherwise to 2.

flip

A logical scalar: should the y-axis (ticks and numbering) be flipped from side 2 (left) to 4 (right) from variable to variable?

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").

See Also

Other plot methods: as_graph(), barplot(), plot(), plot_logratio

Examples

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

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

## Boxplot plot
hist(coda)
hist(coda[, 1, drop = FALSE])

univariate_ilr(coda)