Given a vector of streamflow values, computes a
data.frame with two columns : a 'p' column containing the
probability of exceedance and a 'Q' column containing the
corresponding streamflow values. Two methods can be used : simply
sorting the data (not recommended) or using the quantile function.
Usage
compute_FDC(Q, n = 1000, sort = FALSE, isNormLaw = FALSE, na.rm = TRUE)
Arguments
- Q
Streamflow vector
- n
number of rows in the resulting data.frame (should be
smaller than the length of 'Q'.
- sort
logical. Should the sort function be used instead
of the quantile function ?
- na.rm
logical. Should the missing values be ignored ? (must
be TRUE if the quantile function is used !)