summary.rlm(MASS)
summary.rlm()所属R语言包：MASS
Summary Method for Robust Linear Models
鲁棒线性模型的简易方法
译者：生物统计家园网 机器人LoveR
描述----------Description----------
summary method for objects of class "rlm"
summary类"rlm"对象的方法
用法----------Usage----------
## S3 method for class 'rlm'
summary(object, method = c("XtX", "XtWX"), correlation = FALSE, ...)
参数----------Arguments----------
参数：object
the fitted model. This is assumed to be the result of some fit that produces an object inheriting from the class rlm, in the sense that the components returned by the rlm function will be available.
拟合模型。这被认为是一些合适的结果是产生一个对象，继承类rlm，rlm函数返回的组件将在这个意义上。
参数：method
Should the weighted (by the IWLS weights) or unweighted cross-products matrix be used?
应加权（由IWLS重量）或加权矩阵交叉产品使用？
参数：correlation
logical. Should correlations be computed (and printed)?
逻辑。应进行相关计算（并打印）？
参数：...
arguments passed to or from other methods. </table>
参数传递或其他方法。 </ TABLE>
Details
详情----------Details----------
This function is a method for the generic function summary() for class "rlm". It can be invoked by calling summary(x) for an object x of the appropriate class, or directly by calling summary.rlm(x) regardless of the class of the object.
这个函数是一个泛型函数summary()类"rlm"方法。它可以通过调用调用summary(x)对象x适当的类，或直接致电summary.rlm(x)不管对象的类。
值----------Value----------
If printing takes place, only a null value is returned. Otherwise, a list is returned with the following components. Printing always takes place if this function is invoked automatically as a method for the summary function.
如果打印需要的地方，只有一个空的返回值。否则，将返回一个列表有以下几部分组成。印刷始终为summary功能的方法，如果这个函数被调用自动发生。
参数：correlation
The computed correlation coefficient matrix for the coefficients in the model.
模型中的系数计算相关系数矩阵。
参数：cov.unscaled
The unscaled covariance matrix; i.e, a matrix such that multiplying it by an estimate of the error variance produces an estimated covariance matrix for the coefficients.
未缩放的协方差矩阵，即矩阵乘以误差方差的估计产生的估计系数的协方差矩阵。
参数：sigma
The scale estimate.
规模的估计。
参数：stddev
A scale estimate used for the standard errors.
用于规模估计标准误差。
参数：df
The number of degrees of freedom for the model and for residuals.
模型和残差的自由度。
参数：coefficients
A matrix with three columns, containing the coefficients, their standard errors and the corresponding t statistic.
三列载系数，标准误差及相应的t统计量矩阵。
参数：terms
The terms object used in fitting this model. </table>
用在装修这个模型的条款对象。 </ TABLE>
参考文献----------References----------
Modern Applied Statistics with S. Fourth edition. Springer.
参见----------See Also----------
summary
summary
举例----------Examples----------
summary(rlm(calls ~ year, data = phones, maxit = 50))
## Not run: [＃无法运行：]
Call:
rlm(formula = calls ~ year, data = phones, maxit = 50)
Residuals:
Min 1Q Median 3Q Max
-18.31 -5.95 -1.68 26.46 173.77
Coefficients:
Value Std. Error t value
(Intercept) -102.622 26.553 -3.86
year 2.041 0.429 4.76
Residual standard error: 9.03 on 22 degrees of freedom
Correlation of Coefficients:
[1] -0.994
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 19:34:28
