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R语言:summary.lmList()函数中文帮助文档(中英文对照)

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发表于 2012-2-17 09:54:19 | 显示全部楼层 |阅读模式
summary.lmList(nlme)
summary.lmList()所属R语言包:nlme

                                        Summarize an lmList Object
                                         总结一个lmList对象

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

The summary.lm method is applied to each lm 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.lmList method.
summary.lm方法被应用到每个lmobject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.lmList方法。


用法----------Usage----------


## S3 method for class 'lmList'
summary(object, pool, ...)



参数----------Arguments----------

参数:object
an object inheriting from class lmList, representing a list of lm fitted objects.  
一个对象从lmList类lm拟合对象名单,继承。


参数:pool
an optional logical value indicating whether a pooled estimate of the residual standard error should be used. Default is attr(object, "pool").  
一个可选的逻辑值,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")。


参数:...
some methods for this generic require additional arguments.  None are used in this method.  
这个通用的一些方法需要额外的参数。没有使用这种方法。


值----------Value----------

a list with summary statistics obtained by applying summary.lm to the elements of object, inheriting from class summary.lmList. The components of value are:
申请summary.lm元素object,从类继承summary.lmList得到的汇总统计列表。 value组件:


参数:call
a list containing an image of the lmList call that produced object.  
列表包含lmList呼叫产生object的形象。


参数:coefficients
a three dimensional array with summary information on the lm 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lm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 lm 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 lm component.  
一个三维数组的与个人lm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lm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 lm 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lm组成部分。


参数:df
an array with the number of degrees of freedom for the model and for residuals, for each lm component.  
模型和残差自由度的阵列,每个lm组件。


参数:df.residual
the total number of degrees of freedom for residuals, corresponding to the sum of residuals df of all lm components.  
残差,残差的自由度总数登发所有的lm组件。


参数:fstatistics
an array with the F test statistics and corresponding degrees of freedom, for each lm component.  
与F检验统计量和相应的自由程度的阵列,每个lm组件。


参数:pool
the value of the pool argument to the function.  
pool参数值的功能。


参数:r.squared
a vector with the multiple R-squared statistics for each lm component.  
每个lm组件的多个R平方统计向量。


参数:residuals
a list with components given by the residuals from individual lm fits.  
与个人lm一刀切残差的组件列表。


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。


参数:terms
the terms object used in fitting the individual lm components.  
用于装修个人lm组件的条款对象。


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----------

lmList, summary
lmList,summary


举例----------Examples----------


fm1 <- lmList(distance ~ age | Subject, Orthodont)
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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