alias(stats)
alias()所属R语言包：stats
Find Aliases (Dependencies) in a Model
查找模型中的别名（依赖）
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Find aliases (linearly dependent terms) in a linear model specified by a formula.
线性模型公式指定别名（线性相关条款）。
用法----------Usage----------
alias(object, ...)
## S3 method for class 'formula'[类formula的方法]
alias(object, data, ...)
## S3 method for class 'lm'
alias(object, complete = TRUE, partial = FALSE,
partial.pattern = FALSE, ...)
参数----------Arguments----------
参数：object
A fitted model object, for example from lm or aov, or a formula for alias.formula.
拟合模型对象，例如从lm或aov，或alias.formula的公式。
参数：data
Optionally, a data frame to search for the objects in the formula.
另外，一个数据框搜索公式中的对象。
参数：complete
Should information on complete aliasing be included?
应该被列入完全走样的信息？
参数：partial
Should information on partial aliasing be included?
应列入对部分走样的信息？
参数：partial.pattern
Should partial aliasing be presented in a schematic way? If this is done, the results are presented in a more compact way, usually giving the deciles of the coefficients.
应在原理图的方式呈现局部走样？如果这样做，结果在一个更紧凑的方式，通常系数的十分位数。
参数：...
further arguments passed to or from other methods.
通过进一步的论据或其他方法。
Details
详情----------Details----------
Although the main method is for class "lm", alias is most useful for experimental designs and so is used with fits from aov. Complete aliasing refers to effects in linear models that cannot be estimated independently of the terms which occur earlier in the model and so have their coefficients omitted from the fit. Partial aliasing refers to effects that can be estimated less precisely because of correlations induced by the design.
虽然类的主要方法是"lm"，alias是最有用的实验设计和使用aov一刀切。完全走样，是指不能独立的条款发生早在模型等有适合省略系数估计线性模型的影响。偏走样，指的是可以预计的少正是因为相关的设计引起的影响。
值----------Value----------
A list (of class "listof") containing components
包含组件列表（class"listof"）
参数：Model
Description of the model; usually the formula.
描述模型;通常的公式。
参数：Complete
A matrix with columns corresponding to effects that are linearly dependent on the rows.
相应的效果是线性依赖的行与列的矩阵。
参数：Partial
The correlations of the estimable effects, with a zero diagonal. An object of class "mtable" which has its own print method.
难能可贵的影响的相关性，以零对角线。类"mtable"其中的一个对象都有自己的print方法。
注意----------Note----------
The aliasing pattern may depend on the contrasts in use: Helmert contrasts are probably most useful.
抗锯齿模式可能取决于所使用的对比：Helmert对比可能是最有用的。
The defaults are different from those in S.
默认值是从S中的不同
作者（S）----------Author(s)----------
The design was inspired by the S function of the same name described
in Chambers <EM>et al.</EM> (1992).
参考文献----------References----------
Analysis of variance; designed experiments. Chapter 5 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
举例----------Examples----------
## From Venables and Ripley (2002) p.165.[＃从维纳布尔斯和Ripley（2002）第165页。]
utils::data(npk, package="MASS")
op <- options(contrasts=c("contr.helmert", "contr.poly"))
npk.aov <- aov(yield ~ block + N*P*K, npk)
alias(npk.aov)
options(op)# reset[重置]
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 2012-2-16 17:33:05
