MovingWindowFunctions {gcplyr}

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
)

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

Value

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