Blossom (version 1.3)

sp: Multiresponse sequence procedure

Description

Multiresponse sequence procedure (MRSP) is a special case of MRPP where first-order sequential pattern of data is tested against the null hypothesis of no sequential pattern. Univariate analyses are analogous to the Durbin-Watson test for first-order serial pattern and bivariate analyses are analogous to Schoener's $t^2/r^2$ statistic (Solow 1989). Permutation versions of these two tests can be done. Options allow you to select the sequencing variable and to turn off multivariate commensuration.

Usage

sp(data, expon = 1, commens = TRUE, number.perms, exact = FALSE,
save.test,sequence,variables)

Value

sp returns an object of class MRSPObj. The functions summary as well as print can be used to obtain a summary of the test. Generic accessor functions pvalue and ResampVals can be used to obtain the p-value and Monte Carlo resampled test statistic values respectively.

Details

In this analysis of ungrouped data, the agreement measure (1 - average Euclidean distance between ordered observations/average Euclidean distance among all possible pairs of observations) is a statistic describing first-order serial dependency. Significance of the null hypothesis of no first-order serial dependency is provided by the Pearson Type III approximation on the first 3 exact moments of the permutation distribution by default, optionally by exact enumeration for small samples by specifying the exact option, or by a Monte Carlo resampling procedure by specifying the number.perms option.

References

Solow, A.R. 1989. A randomization test for independence of animal locations. Ecology 70, 1546--1549.

See Also

MRSPObj

Examples

sp(blue162[,4:5], expon = 1,number.perms = 1000,save.test = TRUE)