get_smoothed_data: Get smoothed distances to reference and estimates of standard...
In MatteoLacki/LFQBench2: Compare results of protein and peptide searches

Get smoothed distances to reference and estimates of standard deviation.

get_smoothed_data(
  x,
  runs,
  ids,
  min_observed_cnt = 2,
  window_size = 11,
  mad_cnt = 2,
  spline.df = 30,
  grid.points.cnt = 100
)

`x`	Array of values to smooth.
`runs`	Each entries indicate the run at which the corresponding entry of x was measured.
`ids`	Classifies entries of x as being the measurement of the same entity, e.g. a peptide.
`min_observed_cnt`	The minimal number of runs the measurements were recorded.
`window_size`	An integer describing how many points are considered in the calculation of rolling medians and MADs.
`mad_cnt`	Numeric value: how many MAD from the median should be calculated for the ribbons. Non positive values result in the absence of a ribbon.
`spline.df`	Degrees of freedom for the spline extrapolating the rolling medians and rolling MADs.
`grid.points.cnt`	Number of points in the grid extrapolating the rolling medians and rolling MADS.