plotBar
produces a Bertin or a Ford (battleship curve) diagram.
plotBar(object, ...) plotMatrix(object, ...) plotRank(object, ...) plotSpot(object, ...) seriate(object, subset, ...) refine(object, ...) diversity(object, ...) evenness(object, ...) richness(object, ...) # S4 method for CountMatrix refine(object, cutoff, n = 1000, axes = c(1, 2), ...) # S4 method for DateModel refine(object, method = c("jackknife", "bootstrap"), n = 1000, ...) # S4 method for CountMatrix plotBar(object, level = FALSE, EPPM = FALSE, center = TRUE, horizontal = FALSE) # S4 method for AbundanceMatrix plotBar(object, level = FALSE, EPPM = FALSE, center = TRUE, horizontal = FALSE) # S4 method for CountMatrix plotMatrix(object, PVI = FALSE) # S4 method for AbundanceMatrix plotMatrix(object, PVI = FALSE) # S4 method for IncidenceMatrix plotMatrix(object) # S4 method for CountMatrix plotRank(object, PVI = FALSE) # S4 method for AbundanceMatrix plotRank(object, PVI = FALSE) # S4 method for CountMatrix plotSpot(object, threshold = NULL) # S4 method for AbundanceMatrix plotSpot(object, threshold = NULL) # S4 method for SimilarityMatrix plotSpot(object) # S4 method for OccurrenceMatrix plotSpot(object) # S4 method for CountMatrix,missing seriate( object, method = c("correspondance", "reciprocal"), EPPM = FALSE, margin = c(1, 2), stop = 100, ... ) # S4 method for IncidenceMatrix,missing seriate( object, method = c("correspondance", "reciprocal"), margin = c(1, 2), stop = 100, ... ) # S4 method for CountMatrix,BootCA seriate(object, subset, margin = c(1, 2), ...) # S4 method for CountMatrix diversity( object, method = c("berger", "brillouin", "mcintosh", "shannon", "simpson"), simplify = FALSE, ... ) # S4 method for CountMatrix evenness( object, method = c("brillouin", "mcintosh", "shannon", "simpson"), simplify = FALSE, ... ) # S4 method for CountMatrix richness( object, method = c("ace", "chao1", "margalef", "menhinick", "none"), unbiased = FALSE, improved = FALSE, k = 10, simplify = FALSE ) # S4 method for IncidenceMatrix richness( object, method = c("chao2", "ice"), unbiased = FALSE, improved = FALSE, k = 10, simplify = FALSE )
object  An object. 

...  Further arguments to be passed to internal methods. 
subset  A BootCA object giving the subset of

cutoff  A function that takes a numeric vector as argument and returns a single numeric value. 
n  A nonnegative 
axes  A 
method  A 
level  A lengthone 
EPPM  A 
center  A 
horizontal  A 
PVI  A 
margin  A 
stop  A lengthone 
simplify  A 
unbiased  A 
improved  A 
k  A lengthone 
log  A 
facet  A 
sample  A lengthone 