saunders(untb)
saunders()所属R语言包：untb
Dataset due to Saunders
数据集，由于桑德斯
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A dataframe showing species inventories for a kelp holdfast (saunders) including a Boolean flag indicating whether the holdfast was in a sheltered or exposed location.
一个数据框种存货的海带固着器（saunders），其中包括一个布尔标志，表示是否固着器是在一个隐蔽或暴露的位置。
Also two data frames, one for the 20 exposed holdfasts (saunders.exposed) and one for the 20 sheltered holdfasts (saunders.sheltered).
另外两个数据框，一个用于20暴露的固着器（saunders.exposed）和一个用于20庇护固着器（saunders.sheltered）。
Also three count objects, giving counts for all organisms (saunders.tot), all those from exposed locations (saunders.exposed.tot), and all those from sheltered locations only (saunders.sheltered.tot).
另外三种“count对象，计数所有的生物（saunders.tot），所有从暴露的位置（saunders.exposed.tot），和所有那些庇护地点（saunders.sheltered.tot）。
用法----------Usage----------
data(saunders)
格式----------Format----------
Dataset saunders is a dataframe with 40 observations on 177 variables. Each row corresponds to a holdfast. The first column is Boolean, indicating whether or not that holdfast was exposed (TRUE) or sheltered (FALSE). The other columns show species abundances for each of 176 species.
数据集saunders是一个数据框有40 177个变量的观察。每一行对应于一个固着器。第一列是布尔值，指示与否，牵动着暴露（TRUE）或庇护（FALSE）。其他列显示了每个物种丰度为176种。
Summary datasets saunders.sheltered.tot, saunders.exposed.tot, and saunders.tot are objects of class count that are the species abundance for sheltered holdfasts, exposed holdfasts, and the entire dataset.
摘要数据集saunders.sheltered.tot，saunders.exposed.tot，saunders.tot是对象类count庇护固着器，裸露的固着器，整个数据集的物种丰富度。
The user will probably be most interested in saunders.sheltered and saunders.exposed, which are the <STRONG>transpose</STRONG> of the appropriate rows of saunders. Thus these dataframes have 176 rows, one per species and 20 rows, one per holdfast.
用户可能会在saunders.sheltered和saunders.exposed，这是最感兴趣的是的<STRONG>调换</ STRONG>的saunders相应的行。因此，这些dataframes有176行，每一个物种和20行，每一个固着器。
Details
详细信息----------Details----------
Kelp are large seaweeds classified in kingdom Chromista. Kelp grows in shallow oceans in kelp forests.
海带是大型藻类分类王国Chromista。海带生长在浅海，在海藻森林。
The <DFN>holdfast</DFN> is a root-like structure that anchors the kelp to the ocean floor. Fauna inhabiting kelp holdfasts, being “incredibly diverse” (Anderson et al 2005), are often used as indicators of environmental change.
<DFN>牵动着</ DFN>是根状结构，锚定在海底的海带。的动植物栖息海带固着器，是“令人难以置信的多样化”（Anderson等，2005），经常被用来作为环境变化的指标。
The data was collected in New Zealand, from eight sites along the Leigh coastline from north of Leigh Harbour down to the southern end of Kawau Island (a stretch of roughly 20 km). Four sites were wave-exposed, four were sheltered (although two of the latter were arguably quite tidally-dominated). Each site had a spatial extent of roughly one hectare. They were collected from 5 - 10 November, 2003.
收集的数据，在新西兰，从八幅雷海岸线沿从北方的Leigh港到Kawau岛的南端（绵延约20公里）。四幅波暴露出来，被收容（虽然后者可以说是相当潮汐占主导地位的）。每个网站有大约一公顷的空间范围。他们从5个 - 2003年11月10日。
The saunders dataset must be arranged as it is because if it were transposed, the first row would be the (nonsensical) observation c(T,T,...,T,F,...,F).
必须被布置saunders数据集，因为它是因为，如果是被换位，将第一行的（无意义）观察c(T,T,...,T,F,...,F)。
注意----------Note----------
It is not entirely obvious how to derive the summary datasets from the saunders dataframe. Use function extractor() for this.
如何得到的汇总数据集的saunders数据框，这不完全是明显的。使用功能extractor()这一点。
源----------Source----------
Data supplied by Justine Saunders
由贾斯汀桑德斯提供的数据
参考文献----------References----------
(provisional title). PhD thesis (in preparation); School of Geography and Environmental Sciences, The University of Auckland
variation in kelp holdfast assemblages: Spatial patterns of biodiversity for the major phyla at different taxonomic resolutions”. Journal of Experimental Marine Biology and Ecology. Volume 320, pages 35-56
参见----------See Also----------
extractor
extractor
实例----------Examples----------
data(saunders)
plot(saunders.sheltered.tot, uncertainty=TRUE, n=1)
preston(saunders.tot)
optimal.params.sloss(saunders.exposed)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 13:32:08
