int.joincount: Join-count statistic, internal.

In EcoGenetics: Management and Exploratory Analysis of Spatial Data in Landscape Genetics

Description

Join-count statistic, internal.

Usage

int.joincount(
  Z,
  con,
  nsim,
  alternative,
  test = "permutation",
  adjust.n = FALSE,
  adjustjc = "none",
  plotit
)

Arguments

Z	Vector, matrix or data frame.
con	Connection network.
nsim	Number of Monte-Carlo simulations.
alternative	The alternative hypothesis. If "auto" is selected (default) the program determines the hypothesis by difference between the median of the simulations and the observed value. Other options are: "two.sided", "greater" and "less". if test == cross, for the first interval (d== 0) the p and CI are computed with cor.test.
test	If test = "bootstrap", the program generates a bootstrap resampling and the associated confidence intervals of the null hypothesis. If test = "permutation" (default) a permutation test is made and the p value is calculated.
adjust.n	Should be adjusted the number of individuals? (warning, this would change variances)
adjustjc	Method for multiple correction of P-values passed to p.adjust.

Author(s)

Leandro Roser [e-mail]

EcoGenetics documentation built on July 8, 2020, 5:46 p.m.