hunua {VGAM} | R Documentation

## Hunua Ranges Data

### Description

The `hunua` data frame has 392 rows and 18 columns. Altitude is explanatory, and there are binary responses (presence/absence = 1/0 respectively) for 17 plant species.

### Usage

    data(hunua)

### Format

This data frame contains the following columns:

agaaus
  Agathis australis, or Kauri
beitaw
  Beilschmiedia tawa, or Tawa
corlae
  Corynocarpus laevigatus
cyadea
  Cyathea dealbata
cyamed
  Cyathea medullaris
daccup
  Dacrydium cupressinum
dacdac
  Dacrycarpus dacrydioides
eladen
  Elaecarpus dentatus
hedarb
  Hedycarya arborea
hohpop
  Species name unknown
kniexc
  Knightia excelsa, or Rewarewa
kuneri
  Kunzea ericoides
lepsco
  Leptospermum scoparium
metrob
  Metrosideros robusta
neslan
  Nestegis lanceolata
rhosap
  Rhopalostylis sapida
vitluc
  Vitex lucens, or Puriri
altitude
  meters above sea level

### Details

These were collected from the Hunua Ranges, a small forest in southern Auckland, New Zealand. At 392 sites in the forest, the presence/absence of 17 plant species was recorded, as well as the altitude. Each site was of area size 200m^2.

### Source

Dr Neil Mitchell, University of Auckland.

### See Also

`waitakere`.

### Examples

    # Fit a GAM using vgam() and compare it with the Waitakere Ranges one
    fit.h = vgam(agaaus ~ s(altitude, df=2), binomialff, hunua)
    ## Not run:
    plot(fit.h, se=TRUE, lcol="red", scol="red",
         main="Red is Hunua, Blue is Waitakere")
    ## End(Not run)
    head(predict(fit.h, hunua, type="response"))

    fit.w = vgam(agaaus ~ s(altitude, df=2), binomialff, waitakere)
    ## Not run:
    plot(fit.w, se=TRUE, lcol="blue", scol="blue", add=TRUE)
    ## End(Not run)
    head(predict(fit.w, hunua, type="response"))   # Same as above?

[Package VGAM version 0.7-9 Index]