marks(x, ...)
## S3 method for class 'ppp':
marks(x, \dots, dfok=TRUE)           
## S3 method for class 'ppx':
marks(x, \dots, drop=TRUE)
marks(x, ...) <- value
## S3 method for class 'ppp':
marks(x, \dots, dfok=TRUE) <- value
## S3 method for class 'ppx':
marks(x, \dots) <- value
setmarks(x, value)
x %mark% value"ppp" or "ppx").FALSE, data frames of marks are not permitted
    and will generate an error.TRUE, a data frame consisting of a single column
    of marks will be converted to a vector or factor.NULL.marks(x), the result is a vector, factor, data frame or hyperframe,
  containing the mark values attached to the points of x.  For marks(x) <- value, the result is the updated point pattern
  x (with the side-effect that the dataset x is updated in
  the current environment).
  For setmarks(x,value) and x %mark% value, the return value
  is the point pattern obtained by replacing the
  marks of x by value.
x.
  
  The expression marks(x) extracts the marks of x.
  The assignment marks(x) <- value assigns new marks to the
  dataset x, and updates the dataset x in the current
  environment. The expression setmarks(x,value)
  or equivalently x %mark% value returns a point pattern
  obtained by replacing the marks of x by value, but does
  not change the dataset x itself.
  
  For point patterns in two-dimensional space (objects of class
  "ppp") the marks can be a vector, a factor, or a data frame.
  
  For general point patterns (objects of class "ppx") the
  marks can be a vector, a factor, a data frame or a
  hyperframe.
  
  For the assignment marks(x) <- value, the value
  should be a vector or factor of length equal to the number of
  points in x, or a data frame or hyperframe with as many rows
  as there are points in x. If value is a single value,
  or a data frame or hyperframe with one row, then it will be replicated
  so that the same marks will be attached to each point.
  
  To remove marks, use marks(x) <- NULL or
  unmark(x).
  
  Use ppp or ppx
  to create point patterns in more general
  situations.ppp.object,
  ppx,
  unmark,
  hyperframedata(amacrine)
   # extract marks
   m <- marks(amacrine)
   # recode the mark values "off", "on" as 0, 1
   marks(amacrine) <- as.integer(m == "on")Run the code above in your browser using DataLab