Indirect Ordination

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))
}
#> Error in s.label(dfxy = coa1$li, xax = 1, yax = 2, plot = FALSE, storeData = TRUE,     pos = -3, plabels = list(cex = 0.75), xlim = c(-1.92781562406518,     1.15837003660113), ylim = c(-1.56393452769017, 1.52225113297615    )): non convenient selection for dfxy (can not be converted to dataframe)