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Smooth the community data

Source: R/smooth_community_data.R
smooth_community_data.Rd

A function to apply one of the 4 smoothers.

Usage

smooth_community_data(
  data_source_smooth,
  smooth_method = c("m.avg", "grim", "age.w", "shep"),
  smooth_n_points = 5,
  smooth_n_max = 9,
  smooth_age_range = 500,
  round_results = FALSE,
  verbose = FALSE
)

Arguments

data_source_smooth

List with community, and age

smooth_method

Character. type of smoothing applied for the each of the pollen type

  • "none" - Pollen data is not smoothed

  • "m.avg" - Moving average

  • "grim" - Grimm's smoothing

  • "age.w"" - Age-weighted average

  • "shep" - Shepard's 5-term filter

smooth_n_points

Numeric. Number of points for used for moving average, Grimm and Age-Weighted smoothing (odd number)

smooth_n_max

Numeric. Maximal number of samples to look in Grimm smoothing

smooth_age_range

Numeric. Maximal age range for both Grimm and Age-weight smoothing

round_results

Logical. Should smoothed values be rounded to integers?

verbose

Logical. If TRUE, function will output messages about internal processes

Details

Smoothing of assemblage data: Each variable within the assemblage data is smoothed using one of five in-built smoothing methods:

  • Shepard's 5-term filter (smooth_method = "shep"; Davis, 1986; Wilkinson, 2005)

  • moving average (smooth_method = "m.avg"})

  • age-weighted average (smooth_method = "age.w")

  • Grimm's smoothing (smooth_method = "grim"; Grimm and Jacobson, 1992)

References

Davis, J.C., 1986. Statistics and Data Analysis in Geology, 2nd edn. ed. J. Wiley & Sons, New York.

Grimm, E.C., Jacobson, G.L., 1992. Fossil-pollen evidence for abrupt climate changes during the past 18000 years in eastern North America. Clim. Dyn. 6, 179-184.

Wilkinson, L., 2005. The Grammar of Graphics. Springer-Verlag, New York, USA 37.

See also

estimate_roc()