Plots a Bertin diagram.
Usage
plot_bertin(object, ...)
# S4 method for class 'matrix'
plot_bertin(
object,
threshold = NULL,
freq = FALSE,
margin = 1,
color = c("white", "black"),
flip = TRUE,
axes = TRUE,
...
)
# S4 method for class 'data.frame'
plot_bertin(
object,
threshold = NULL,
freq = FALSE,
margin = 1,
color = c("white", "black"),
flip = TRUE,
axes = TRUE,
...
)
Arguments
- object
A \(m \times p\)
numeric
matrix
ordata.frame
of count data (absolute frequencies giving the number of individuals for each category, i.e. a contingency table).- ...
Currently not used.
- threshold
A
function
that takes a numeric vector as argument and returns a numeric threshold value (see below). IfNULL
(the default), no threshold is computed. Only used iffreq
isFALSE
.- freq
A
logical
scalar indicating whether conditional proportions givenmargins
should be used (i.e. entries ofobject
, 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 iffreq
isTRUE
.- 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.- flip
A
logical
scalar: shouldx
andy
axis be flipped? Defaults toTRUE
.- axes
A
logical
scalar: should axes be drawn on the plot? It will omit labels where they would abut or overlap previously drawn labels.
Value
plot_bertin()
is called for its side-effects: it results in a graphic
being displayed (invisibly returns object
).
Bertin Matrix
As de Falguerolles et al. (1997) points out: "In abstract terms, a Bertin matrix is a matrix of displays. ... To fix ideas, think of a data matrix, variable by case, with real valued variables. For each variable, draw a bar chart of variable value by case. High-light all bars representing a value above some sample threshold for that variable."
References
Bertin, J. (1977). La graphique et le traitement graphique de l'information. Paris: Flammarion. Nouvelle Bibliothèque Scientifique.
de Falguerolles, A., Friedrich, F. & Sawitzki, G. (1997). A Tribute to J. Bertin's Graphical Data Analysis. In W. Badilla & F. Faulbaum (eds.), SoftStat '97: Advances in Statistical Software 6. Stuttgart: Lucius & Lucius, p. 11-20.
See also
Other plot methods:
matrigraph()
,
plot_diceleraas()
,
plot_ford()
,
plot_heatmap()
,
plot_rank()
,
plot_spot()
,
seriograph()
Examples
## Data from Lipo et al. 2015
data("mississippi", package = "folio")
## Plot a Bertin diagram...
## ...without threshold
plot_bertin(mississippi)
## ...with the variable mean as threshold
plot_bertin(mississippi, threshold = mean)
## Plot conditional proportions
plot_bertin(mississippi, freq = TRUE, margin = 1)
plot_bertin(mississippi, freq = TRUE, margin = 2)