Finds x- and y-value at peak y value.
get_peak(x, y, ties = "median", na.rm = TRUE, ...)A list with two named numeric scalar components, `x` and `y`, containing the x- and y-values at the peak.
A numeric vector of `x` data
A numeric vector of `y` data
As for [stats::approxfun()]: The function to apply to y-values that have the same x-value. Default `'median'`. `'mean'` may also be useful.
As for [stats::approxfun()]: How to handle missing values. Default `TRUE` to exclude missing values from analysis.
Optional: Additional arguments which will be passed to [stats::approx()] (other than `x`, `y`, and `xout`).
Caroline Ring
If there is more than one unique `x` value where both `x` and corresponding `y` are finite, this function calls [stats::approx()] with `method = 'linear'`, then uses [base::which.max()] to locate the maximum interpolated `y`-value.
If there is only one unique `x` value where both `x` and corresponding `y` are finite, this function calls [stats::approx()] with `method = 'constant'`, then uses [base::which.max()] to locate the maximum interpolated `y`-value.
If there are no unique `x` values where both `x` and corresponding `y` are finite, this function returns `NA_real_` for the peak `x` and `y` values.