Tol(VGAM)
Tol()所属R语言包：VGAM
Tolerances
公差
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Generic function for the tolerances of a model.
通用功能的模型的公差。
用法----------Usage----------
Tol(object, ...)
参数----------Arguments----------
参数：object
An object for which the computation or extraction of a tolerance or tolerances is meaningful.
容忍或公差的计算或提取的对象是有意义的。
参数：...
Other arguments fed into the specific methods function of the model. Sometimes they are fed into the methods function for Coef.
其他参数送入的具体方法运作的模式。有时，他们被送入的方法功能为Coef。
Details
详细信息----------Details----------
Different models can define an optimum in different ways. Many models have no such notion or definition.
不同的模式可以定义一个最佳的方式不同。许多车型有没有这样的概念或定义。
Tolerances occur in quadratic ordination, i.e., CQO or UQO. They have ecological meaning because a high tolerance for a species means the species can survive over a large environmental range (stenoecous species), whereas a small tolerance means the species' niche is small (eurycous species). Mathematically, the tolerance is like the variance of a normal distribution.
公差发生在二次协调，即，CQO或UQO的的。生态意义，因为他们有高耐受性的物种是指物种可以存活超过大环境范围（stenoecous种），而一个小的公差是指物种的生态位是小（eurycous种）。在数学上，有容乃像一个正态分布的方差。
值----------Value----------
The value returned depends specifically on the methods function invoked.
返回的值取决于具体的函数被调用的方法。
警告----------Warning ----------
There is a direct inverse relationship between the scaling of the latent variables (site scores) and the tolerances. One normalization is for the latent variables to have unit variance. Another normalization is for all the tolerances to be unit. These two normalization cannot simultaneously hold in general. For rank-R>1 models it becomes more complicated because the latent variables are also uncorrelated. An important argument when fitting quadratic ordination models is whether EqualTolerances is TRUE or FALSE. See Yee (2004) for details.
有一个直接的缩放比例的潜变量（站点分数）和公差之间的反比关系。一个标准化是有单位方差的潜变量。另一种标准化是所有的公差单位。这两个标准化，不能同时容纳一般。秩R> 1的模型，它变得更加复杂，，因为潜变量不相关的。装修时二次协调模型是一个重要参数是否EqualTolerances是TRUE或FALSE。的详细信息，请参阅仪（2004）。
注意----------Note----------
Tolerances are undefined for "linear" and additive ordination models. They are well-defined for quadratic ordination models.
线性和添加剂协调模型的公差是不确定的。他们被定义为二次协调模型。
（作者）----------Author(s)----------
Thomas W. Yee
参考文献----------References----------
A new technique for maximum-likelihood canonical Gaussian ordination. Ecological Monographs, 74, 685–701.
Constrained additive ordination. Ecology, 87, 203–213.
参见----------See Also----------
Tol.qrrvglm. Max, Opt.
Tol.qrrvglm。 Max，Opt。
实例----------Examples----------
set.seed(111) # This leads to the global solution[这将导致全球性的解决方案]
hspider[,1:6] = scale(hspider[,1:6]) # Standardized environmental vars[标准化的环境瓦尔]
# vvv p1 = cqo(cbind(Alopacce, Alopcune, Alopfabr, Arctlute, Arctperi,[VVV P1 = cqo（CBIND（Alopacce，Alopcune，Alopfabr，Arctlute，Arctperi]
# vvv Auloalbi, Pardlugu, Pardmont, Pardnigr, Pardpull,[VVV Auloalbi，Pardlugu，Pardmont，Pardnigr，Pardpull，]
# vvv Trocterr, Zoraspin) ~[]
# vvv WaterCon + BareSand + FallTwig + CoveMoss + CoveHerb + ReflLux,[VVV WaterCon + BareSand + FallTwig + CoveMoss + CoveHerb + ReflLux，]
# vvv Bestof = 2,[VVV最妙= 2，]
# vvv fam = quasipoissonff, data = hspider, Crow1positive=FALSE)[VVV FAM = quasipoissonff，数据hspider，Crow1positive = FALSE）]
# vvv [VVV]
# vvv Tol(p1)[VVV容差（P1）]
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。
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发表于 2012-10-1 15:54:56
