Description Usage Arguments Value
Create an Empirical Cumulative Distribution Function (ECDF)
function, i.e., a list with two membery x
and y
that stand
for the coordinates of the function.
1 2 3 | func.ecdf(x, goal = 0, goal.dim = 2L, time.dim = 1L,
comparator = `<=`, time.type = as.integer, time.min = 1L,
time.max = time.type(NA_real_), extract.run = identity)
|
x |
the data, maybe a list of matrices or a list of vectors/lists, where
each element has at least the |
goal |
the goal value, i.e., the value which must be reached to be counted as success |
goal.dim |
the dimension where where the goal values can be found |
time.dim |
the dimension where the time values can be found |
comparator |
the comparator, usually |
time.type |
the type function the time dimension, should be
|
time.min |
the minimum time value to be used for the diagram, or
|
time.max |
the maximum time value to be used, or |
extract.run |
a function which can be used to extract the single runs
from |
a list(x=c(...), y=c(...))
where the two members x
and
y
will be vectors of corresponding coordinates
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