hist.kasc {adehabitat} | R Documentation |
hist.kasc
performs histograms of the variables mapped in objects
of class kasc
.
## S3 method for class 'kasc': hist(x, type = c("h", "l", "b"), adjust = 1, col, border, lwd = 1, ...)
x |
a raster map of class kasc |
type |
what type of plot should be drawn. Possible types are: * "h" for histograms,* "l" for kernel density estimates (see ?density ).* "b" for both histograms and kernel density estimates (see ?density ).By default, type = "h" is used. If type = "l" is used,
the position of the mean of each distribution is indicated by dotted
lines |
adjust |
if type = "l" , a parameter used to control the
bandwidth of the density estimate (see ?density ) |
col |
color for the histogram |
border |
color for the border of the histogram |
lwd |
if type = "l" , line width for the density estimate |
... |
further arguments passed to or from other methods |
Mathieu Basille basille@biomserv.univ-lyon1.fr
## Example with factors and numeric variables data(puechabon) hist(puechabon$kasc, type = "h") ## Aspect is a factor, then it's not possible to use ## kernel density estimates for it : hist(puechabon$kasc) ## Removing the factor Aspect, and smoothing gives : hist(puechabon$kasc[-2], type = "l")