MovingWindowFunctions: Moving window smoothing

Description

These functions use a moving window to smooth data

Usage

moving_average(
  formula = NULL,
  data = NULL,
  x = NULL,
  y = NULL,
  window_width_n = NULL,
  window_width = NULL,
  window_width_n_frac = NULL,
  window_width_frac = NULL,
  na.rm = TRUE,
  warn_nonnumeric_sort = TRUE
)
moving_median(
  formula = NULL,
  data = NULL,
  x = NULL,
  y = NULL,
  window_width_n = NULL,
  window_width = NULL,
  window_width_n_frac = NULL,
  window_width_frac = NULL,
  na.rm = TRUE,
  warn_nonnumeric_sort = TRUE
)

Value

Vector of smoothed data, with NA's appended at both ends

Arguments

formula: Formula specifying the numeric response (density) and numeric predictor (time).
data: Dataframe containing variables in formula
x: A vector of predictor values to smooth along (e.g. time)
y: A vector of response values to be smoothed (e.g. density).
window_width_n: Number of data points wide the moving window is (therefore, must be an odd number of points)
window_width: Width of the moving window (in units of x)
window_width_n_frac: Width of the window (as a fraction of the total number of data points).
window_width_frac: Width of the window (as a fraction of the range of x)
na.rm: logical whether NA's should be removed before analyzing
warn_nonnumeric_sort: logical whether warning should be issued when predictor variable that data is sorted by is non-numeric.

Details

Either x and y or formula and data must be provided.

Values of NULL or NA will be ignored for any of window_width_n, window_width, window_width_n_frac, or window_width_frac