Description of the rate tables used by expected survival routines.
A rate table contains event rates per unit time for some particular
  endpoint.  Death rates are the most common use, the survexp.us
  table, for instance, contains death rates for the United States by
  year of age, sex, and calendar year.
A rate table is structured as a multi-way array with the following attributes:
the dimensions of the array
a named list of dimnames. The names are used to
    match user data to the dimensions, e.g., see the rmap
    argument in the pyears example.  If a dimension is
    categorical, such as sex in survexp.us, then the
    dimname itself is matched against user's data values.  The matching
    ignored case and allows abbreviations, e.g., "M", "Male", and "male"
    all successfully match the survexp.us dimname of
    sex=c("male", "female").
a vector giving the type of each dimension, which will
      be 1= categorical, 2= continuous, 3= date, 4= US calendar year.
      If type is 3 or 4, then the corresponding cutpoints must be
      one of the calendar date types: Date, POSIXt, date, or chron.
      This allows the code to properly match user data to the ratetable.
a list with one elment per dimension.  If
      type=1 then the corresponding list element should be NULL,
      otherwise it should be a vector of length dim[i] containing
      the starting point of the interval to which the corresponding
      row/col of the array applies.  Cutpoints must be in the same units
      as the underlying table, e.g., the survexp.us table
      contains death rates per day, so the age cutpoint vector contains
      age in days while year contains a vector of Dates.
      Cutpoints do not need to be evenly
      spaced: the survexp.us table originally had age divided up
      as 0-1 days, 1-7 days, 7-28 days, 28 days - 1 year, 2, 3, …
      119 years.  (Changes in the source of the tables made it difficult
      to continue splitting out the first year.)
an optional summarization function. If present, it will be called with a numeric matrix that has one column per dimension and one row per observation; and the function returns a character string giving a summary of the data.
optional attribute containing the names of the dimnames. In this case the dimnames list itself does not have names.