waitakere(VGAM)
waitakere()所属R语言包:VGAM
Waitakere Ranges Data
怀塔克雷山脉数据
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The waitakere data frame has 579 rows and 18 columns. Altitude is explanatory, and there are binary responses (presence/absence = 1/0 respectively) for 17 plant species.
waitakere数据框有579行和18列。海拔高度是解释性的,并有二进制响应(= 1/0分别存在/不存在)的17种植物物种。
用法----------Usage----------
data(waitakere)
格式----------Format----------
This data frame contains the following columns:
该数据框包含以下几列:
agaaus Agathis australis, or Kauri
agaaus贝壳杉芦苇,贝壳杉
beitaw Beilschmiedia tawa, or Tawa
beitaw琼塔瓦,或塔瓦
corlae Corynocarpus laevigatus
corlae Corynocarpus laevigatus
cyadea Cyathea dealbata
cyadea桫椤圣诞树
cyamed Cyathea medullaris
cyamed髓桫椤
daccup Dacrydium cupressinum
daccup陆均松cupressinum
dacdac Dacrycarpus dacrydioides
dacdac Dacrycarpus dacrydioides
eladen Elaecarpus dentatus
eladen Elaecarpus齿状
hedarb Hedycarya arborea
hedarb Hedycarya梓
hohpop Species name unknown
hohpop品种名称未知
kniexc Knightia excelsa, or Rewarewa
kniexc Knightia棕竹,Rewarewa的
kuneri Kunzea ericoides
kuneri Kunzea ericoides
lepsco Leptospermum scoparium
lepsco Leptospermum棒
metrob Metrosideros robusta
metrob Metrosideros罗布斯塔
neslan Nestegis lanceolata
neslan Nestegis杉木
rhosap Rhopalostylis sapida
rhosap Rhopalostylis sapida
vitluc Vitex lucens, or Puriri
vitluc荆条lucens,或普里里
altitude meters above sea level
海拔米以上的海平面
Details
详细信息----------Details----------
These were collected from the Waitakere Ranges, a small forest in northern Auckland, New Zealand. At 579 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.
这些收集的的怀塔克雷范围,一片小树林,新西兰北部的奥克兰。在579网站在森林中,存在/不存在的17种植物物种被记录,以及随着海拔的。每个站点是面积大小200 m^2。
源----------Source----------
Dr Neil Mitchell, University of Auckland.
尼尔·米切尔博士,奥克兰大学。
参见----------See Also----------
hunua.
hunua。
实例----------Examples----------
fit = vgam(agaaus ~ s(altitude, df = 2), binomialff, waitakere)
head(predict(fit, waitakere, type = "response"))
## Not run: plot(fit, se = TRUE, lcol = "red", scol = "blue") [#未运行图(适合,SE = TRUE,LCOL =“SCOL红”,“蓝”):]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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