summary.nlsList(nlme)
summary.nlsList()所属R语言包：nlme
Summarize an nlsList Object
总结一个nlsList对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The summary function is applied to each nls component of object to produce summary information on the individual fits, which is organized into a list of summary statistics. The returned object is suitable for printing with the print.summary.nlsList method.
summary功能应用到每个nlsobject产生对个人的配合，这是组织汇总统计列表的汇总信息的组成部分。返回的对象是适合印刷与print.summary.nlsList方法。
用法----------Usage----------
## S3 method for class 'nlsList'
summary(object, ...)
参数----------Arguments----------
参数：object
an object inheriting from class nlsList, representing a list of nls fitted objects.
一个对象从nlsList类nls拟合对象名单，继承。
参数：...
optional arguments to the summary.lmList method. One such optional argument is pool, a logical value indicating whether a pooled estimate of the residual standard error should be used. Default is attr(object, "pool").
summary.lmList方法的可选参数。这样一个可选的参数是pool，一个逻辑值，该值指示是否应使用汇集的残留标准错误估计。默认attr(object, "pool")。
值----------Value----------
a list with summary statistics obtained by applying summary to the elements of object, inheriting from class summary.nlsList. The components of value are:
申请summary元素object，从类继承summary.nlsList得到的汇总统计列表。 value组件：
参数：call
a list containing an image of the nlsList call that produced object.
列表包含nlsList呼叫产生object的形象。
参数：parameters
a three dimensional array with summary information on the nls coefficients. The first dimension corresponds to the names of the object components, the second dimension is given by "Value", "Std. Error", "t value", and "Pr(>|t|)", corresponding, respectively, to the coefficient estimates and their associated standard errors, t-values, and p-values. The third dimension is given by the coefficients names.
一个三维数组与总结nls系数的信息。第一个维度对应object组件的名称，第二个方面是"Value"，"Std. Error"，"t value"，"Pr(>|t|)"，相应的，分别给予，系数估计和及其相关的标准误，t值，p值。第三个层面是由系数的名字。
参数：correlation
a three dimensional array with the correlations between the individual nls coefficient estimates. The first dimension corresponds to the names of the object components. The third dimension is given by the coefficients names. For each coefficient, the rows of the associated array give the correlations between that coefficient and the remaining coefficients, by nls component.
一个三维数组的与个人nls系数估计之间的相关性。第一个维度对应的object组件的名称。第三个层面是由系数的名字。对于每一个系数，关联数组的行，系数和剩余的系数之间的相关性，由nls组成部分。
参数：cov.unscaled
a three dimensional array with the unscaled variances/covariances for the individual lm coefficient estimates (giving the estimated variance/covariance for the coefficients, when multiplied by the estimated residual errors). The first dimension corresponds to the names of the object components. The third dimension is given by the coefficients names. For each coefficient, the rows of the associated array give the unscaled covariances between that coefficient and the remaining coefficients, by nls component.
一个三维数组未缩放个人lm系数估计（，乘以估计残差系数的估计方差/协）方差/协方差。第一个维度对应的object组件的名称。第三个层面是由系数的名字。对于每一个系数，关联数组的行之间，系数和剩余系数的非标度协方差，由nls组成部分。
参数：df
an array with the number of degrees of freedom for the model and for residuals, for each nls component.
模型和残差自由度的阵列，每个nls组件。
参数：df.residual
the total number of degrees of freedom for residuals, corresponding to the sum of residuals df of all nls components.
残差，残差的自由度总数登发所有的nls组件。
参数：pool
the value of the pool argument to the function.
pool参数值的功能。
参数：RSE
the pooled estimate of the residual standard error.
汇集残留标准错误估计。
参数：sigma
a vector with the residual standard error estimates for the individual lm fits.
与个人的lm残留标准误差估计向量适合。
作者（S）----------Author(s)----------
Jose Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a>
参见----------See Also----------
nlsList, summary
nlsList，summary
举例----------Examples----------
fm1 <- nlsList(SSasymp, Loblolly)
summary(fm1)
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 2012-2-17 09:42:42
