Calculate an empirical cumulative distribution function based on a sample
x and optionally a vector
w of weights.
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Numeric vector containing the sample. Alternatively, if
Optional. Numeric vector containing the weights of each value in
The weights vector
w can contain the counts of each distinct value in
x, this is the most natural use case.
In general the weights are describing the jumps of the final ecdf. Normalization is handled internally.
x contains duplicates, corresponding values in
w will be summed up.
Only positive weights are allowed. Elements in
x with non-positive weights will be ignored.
A function of class
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