Plots a spot matrix.

## Usage

```
plot_spot(object, ...)
# S4 method for class 'matrix'
plot_spot(
object,
type = c("ring", "plain"),
color = NULL,
diag = TRUE,
upper = TRUE,
lower = TRUE,
freq = FALSE,
margin = 1,
axes = TRUE,
legend = TRUE,
...
)
# S4 method for class 'data.frame'
plot_spot(
object,
type = c("ring", "plain"),
color = NULL,
diag = TRUE,
upper = TRUE,
lower = TRUE,
freq = FALSE,
margin = 1,
axes = TRUE,
legend = TRUE,
...
)
# S4 method for class 'dist'
plot_spot(
object,
type = c("ring", "plain"),
color = NULL,
diag = FALSE,
upper = FALSE,
lower = !upper,
axes = TRUE,
legend = TRUE,
...
)
```

## Arguments

- object
A \(m \times p\)

`numeric`

`matrix`

or`data.frame`

of count data (absolute frequencies giving the number of individuals for each category, i.e. a contingency table).- ...
Currently not used.

- type
A

`character`

string specifying the graph to be plotted. It must be one of "`ring`

" (the default) or "`plain`

". Any unambiguous substring can be given.- color
A vector of colors or a

`function`

that when called with a single argument (an integer specifying the number of colors) returns a vector of colors.- diag
A

`logical`

scalar indicating whether the diagonal of the matrix should be plotted. Only used if`object`

is a symmetric matrix.- upper
A

`logical`

scalar indicating whether the upper triangle of the matrix should be plotted. Only used if`object`

is a symmetric matrix.- lower
A

`logical`

scalar indicating whether the lower triangle of the matrix should be plotted. Only used if`object`

is a symmetric matrix.- freq
A

`logical`

scalar indicating whether conditional proportions given`margins`

should be used (i.e. entries of`object`

, divided by the appropriate marginal sums).- margin
An

`integer`

vector giving the margins to split by:`1`

indicates individuals/rows (the default),`2`

indicates variables/columns. Only used if`freq`

is`TRUE`

.- axes
A

`logical`

scalar: should axes be drawn on the plot? It will omit labels where they would abut or overlap previously drawn labels.- legend
A

`logical`

scalar: should a legend be displayed?

## Value

`plot_spot()`

is called for its side-effects: it results in a graphic
being displayed (invisibly returns `object`

).

## Details

The spot matrix can be considered as a variant of the Bertin diagram where the data are first transformed to relative frequencies.

## Note

Adapted from Dan Gopstein's original idea.

## See also

Other plot methods:
`matrigraph()`

,
`plot_bertin()`

,
`plot_diceleraas()`

,
`plot_ford()`

,
`plot_heatmap()`

,
`plot_rank()`

,
`seriograph()`

## Examples

```
## Data from Huntley 2004, 2008
data("pueblo")
## Plot spot diagram of count data
plot_spot(pueblo, type = "ring")
plot_spot(pueblo, type = "plain")
## Plot conditional proportions
plot_spot(pueblo, freq = TRUE, margin = 1)
plot_spot(pueblo, freq = TRUE, margin = 2)
```