SMW function

Split moving window analysis

Split moving window analysis

Function SMW performs split moving window analysis (SMW) with randomizations tests. It may compute dissimilarities for a single window size or for several windows sizes.

SMW(yo, ws, dist = "bray", rand = c("shift", "plot"), n.rand = 99)

Arguments

  • yo: The ordered community matrix.

  • ws: The window sizes to be analyzed. Either a single value or a vector of values.

  • dist: The dissimilarity index used in vegan::vegdist. Defaults to 'bray'.

  • rand: The type of randomization for significance computation (Erdös et.al, 2014):

    • "shift": restricted randomization in which data belonging to the same species are randomly shifted along the data series ("Random shift");
    • "plot": unrestricted randomization: each sample is randomly repositioned along the data series ("Random plot").
  • n.rand: The number of randomizations.

Returns

A two-level list object (class smw) describing the SMW results for each window w analyzed. The smw object is of length ws, and each of the w slots is a list of SMW results:

  • ..$dp: The raw dissimilarity profile (DP). The DP is a data frame giving the positions, labels, values of dissimilarity and z-scores for each sample;
  • ..$rdp: data frame containing the randomized DP;
  • ..$md: mean dissimilarity of the randomized DP;
  • ..$sd: standard deviation for each sample position;
  • ..$oem: overall expected mean dissimilarity;
  • ..$osd: average standard deviation for the dissimilarities;
  • ..$params: list with input arguments

Available methods for class "smw" are print, extract and plot.

Examples

data(sim1) sim1o<-OrdData(sim1$envi,sim1$comm) ws20<-SMW(yo=sim1o$yo,ws=20) pool<-SMW(yo=sim1o$yo,ws=c(20,30,40))

References

  • Erdos, L., Z. Bátori, C. S. Tölgyesi, and L. Körmöczi. 2014. The moving split window (MSW) analysis in vegetation science - An overview. Applied Ecology and Environmental Research 12:787–805.
  • Cornelius, J. M., and J. F. Reynolds. 1991. On Determining the Statistical Significance of Discontinuities with Ordered Ecological Data. Ecology 72:2057–2070.

See Also

plot.smw, extract.

Author(s)

Danilo Candido Vieira

  • Maintainer: Danilo C Vieira
  • License: MIT + file LICENSE
  • Last published: 2019-07-31