R: Indirect Ordination

santacatalina {ade4} | R Documentation

## Indirect Ordination

### Description

This data set gives the densities per hectare of 11 species of trees for 10 transects of topographic moisture values (mean of several stations per class).

### Usage

    data(santacatalina)

### Format

a data frame with 11 rows and 10 columns

### Source

Gauch, H. G. J., Chase, G. B. and Whittaker R. H. (1974) Ordination of vegetation samples by Gaussian species distributions. Ecology, 55, 1382–1390.

### Examples

    data(santacatalina)
    coa1 <- dudi.coa(log(santacatalina + 1), scan = FALSE) # 2 factors

    if(adegraphicsLoaded()) {
      g1 <- table.value(log(santacatalina + 1), plot = FALSE)
      g2 <- table.value(log(santacatalina + 1)[, sample(10)], plot = FALSE)
      g3 <- table.value(log(santacatalina + 1)[order(coa1$li[, 1]), order(coa1$co[, 1])], plot = FALSE)
      g4 <- scatter(coa1, posi = "bottomright", plot = FALSE)
      G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))
    } else {
      par(mfrow = c(2, 2))
      table.value(log(santacatalina + 1))
      table.value(log(santacatalina + 1)[, sample(10)])
      table.value(log(santacatalina + 1)[order(coa1$li[, 1]), order(coa1$co[, 1])])
      scatter(coa1, posi = "bottomright")
      par(mfrow = c(1, 1))
    }

[Package ade4 version 1.7-17 Index]