Blossom (version 1.3)

medq: Multivariate Medians and Distance Quantiles

Description

The medq command calculates univariate or multivariate medians and distance quantiles either by groups specified by a grouping variable or for the entire data set being used. Options allow you to specify quantiles to report that differ from the default quantiles. This is generally used as descriptive statistics with MRPP analyses and describes the distributional changes detected by MRPP.

Usage

medq(variables, group, data, save.test = FALSE,
  quant = c(0, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 1))

Value

medq returns an object of class MEDQObj.

References

Mielke, P.W., Jr. and Berry, K.J. 2001. Permutation methods: A distance function approach. Springer-Verlag.

See Also

Dist2mvm and mrpp

Examples

out <- medq(data = bgrouse)
summary(out)

BgDist2mvm <- Dist2mvm(out)

medq(c(distance,elev),sex,data = bgrouse,quant = c(.2,.3,.4))