R: Hunua Ranges Data

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, data = hunua)
    ## Not run:
    plot(fit.h, se = TRUE, lcol = "orange", scol = "orange",
         llwd = 2, slwd = 2, main = "Orange is Hunua, Blue is Waitakere")
    ## End(Not run)
    head(predict(fit.h, hunua, type = "response"))

    fit.w <- vgam(agaaus ~ s(altitude, df = 2), binomialff, data = 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 1.1-3 Index]