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R语言 robustbase包 possumDiv()函数中文帮助文档(中英文对照)

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发表于 2012-9-27 22:12:59 | 显示全部楼层 |阅读模式
possumDiv(robustbase)
possumDiv()所属R语言包:robustbase

                                        Possum Diversity Data
                                         鼠多样性数据

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Possum diversity data: As issued from a study of the diversity of possum (arboreal marsupials) in the Montane ash forest (Australia), this dataset was collected in view of the management of hardwood forest to take conservation and recreation values, as well as wood production, into account.
负鼠多样性数据:发出的多样性负鼠(树栖有袋类动物)的山地灰林(澳大利亚)的研究,该数据集收集阔叶林的管理,保育及康乐价值,以及木生产,考虑到。

The study is fully described in the two references. The number of different species of arboreal marsupials (possum) was observed on 151 different 3ha sites with uniform vegetation. For each site the nine variable measures (see below) were recorded. The problem is to model the relationship between diversity and these other variables.
这项研究充分说明在这两个引用。 151的不同3公顷网站均匀植被的数量不同种类的树栖有袋动物(POSSUM)。对于每一个网页九个可变措施(见下文)进行了记录。问题是diversity和其他这些变量之间的关系进行建模。


用法----------Usage----------


data(possumDiv)



格式----------Format----------

Two different representations of the same data are available:
两种不同的表示相同的数据是可用的:

possumDiv is a data frame of 151 observations of 9 variables, where the last two are factors, eucalyptus with 3 levels and aspect with 4 levels.
possumDiv是一个数据框的151个观测值的9个变量,其中最后两个因素,eucalyptus3级和aspect4级。

possum.mat is a numeric (integer) matrix of 151 rows (observations) and 14 columns (variables) where the last seven ones are 0-1 dummy variables, three (E.*) are coding for the kind of eucalyptus and the last four are 0-1 coding for the aspect factor.
possum.mat是一个数字(整数)矩阵(观察)的151行和14列(变量)在过去七年的0-1虚拟变量,三(E.*)编码的那种eucalyptus和最后四个0-1编码为aspect系数。

The variables have the following meaning:
的变量具有以下含义:




Diversity main variable of interest is the number of different species of arboreal marsupial (possum) observed, with
多样性主要关注的变量是不同种类的树栖有袋动物(POSSUM)的观察,




Shrubs the number of shrubs.
灌木灌木的数量。




Stumps the number of cut stumps from past logging operations.
截树桩树桩的数量从过去的伐木作业。




Stags the number of stags (hollow-bearing trees).
雄鹿雄鹿(中空的树)的数量。




Bark bark index (integer) vector reflecting the quantity of
的树皮树皮指数(整数)向量反射的数量




Habitat an integer score indicating the suitability of
生境的整数得分指示的适用性




BAcacia a numeric vector giving the basal area of acacia species.
BAcacia一个数值向量断面积的相思种。




eucalyptus a 3-level factor specifying the species of eucalypt with the greatest stand basal
桉树3级factor最大的指定种类的桉树林分断




E.regnans 0-1 indicator for Eucalyptus regnans
E.regnans 0-1指标桉树regnans




E.delegatensis 0-1 indicator for Eucalyptus deleg.
桉树德勒E.delegatensis 0-1指标。




E.nitens 0-1 indicator for Eucalyptus nitens
E.nitens 0-1指标桉树斜带髭鲷




aspect a 4-level factor specifying the aspect of the site.  It is the same information as the following four
方面4级别factor指定的网页的方面。它是相同的信息为以下四个




NW-NE 0-1 indicator
NW-NE 0-1指标




NW-SE 0-1 indicator
NW-SE 0-1指标




SE-SW 0-1 indicator
SE-SW 0-1指标




SW-NW 0-1 indicator
SW-NW 0-1指标


源----------Source----------

Eva Cantoni (2004) Analysis of Robust Quasi-deviances for Generalized Linear Models. Journal of Statistical Software 10, 04, http://www.jstatsoft.org/v10/i04
伊娃坎托尼(2004年)的鲁棒拟异常广义线性模型的设置差异标记分析。 [统计软件10,04,http://www.jstatsoft.org/v10/i04


参考文献----------References----------

Smith, A. P. (1991) The conservation of arboreal marsupials in the montane ash forests of the central highlands of victoria, south-east australia: III. The habitat requirements of leadbeater's possum gymnobelideus leadbeateri and models of the diversity and abundance of arboreal marsupials. Biological Conservation 56, 295–315.
Nix, H. A. (1990) The conservation of arboreal marsupials in the montane ash forests of the victoria, south-east australia, I. Factors influencing the occupancy of trees with hollows, Biological Conservation 54, 111–131.


实例----------Examples----------


data(possumDiv)
head(possum.mat)

str(possumDiv)
## summarize all variables as multilevel factors:[#总结所有变量,多层次的因素:]
summary(as.data.frame(lapply(possumDiv, function(v)
                             if(is.integer(v)) factor(v) else v)))

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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