glm.summaries(stats)
glm.summaries()所属R语言包：stats
Accessing Generalized Linear Model Fits
访问广义线性模型的适合
译者：生物统计家园网 机器人LoveR
描述----------Description----------
These functions are all methods for class glm or summary.glm objects.
这些功能是所有methods类glm或summary.glm对象。
用法----------Usage----------
## S3 method for class 'glm'
family(object, ...)
## S3 method for class 'glm'
residuals(object, type = c("deviance", "pearson", "working",
"response", "partial"), ...)
参数----------Arguments----------
参数：object
an object of class glm, typically the result of a call to glm.
类对象glm，通常是调用glm的结果。
参数：type
the type of residuals which should be returned. The alternatives are: "deviance" (default), "pearson", "working", "response", and "partial".
应当返还的残差类型。替代方案是："deviance"（默认），"pearson"，"working"，"response"，"partial"。
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----------
The references define the types of residuals: Davison & Snell is a good reference for the usages of each.
引用定义残差类型：戴维森＆Snell是很好的参考，为每个用途。
The partial residuals are a matrix of working residuals, with each column formed by omitting a term from the model.
部分残差工作残差矩阵，模型省略长期形成的每一列。
How residuals treats cases with missing values in the original fit is determined by the na.action argument of that fit. If na.action = na.omit omitted cases will not appear in the residuals, whereas if na.action = na.exclude they will appear, with residual value NA. See also naresid.
如何residuals将缺失值的情况下，在原适合确定na.action合身的说法的。如果na.action = na.omit省略的情况下将不会出现在残差，而如果na.action = na.exclude“他们会出现剩余价值NA。还可以看naresid。
For fits done with y = FALSE the response values are computed from other components.
为完成与适合y = FALSE响应值计算从其他组件。
参考文献----------References----------
Residuals and diagnostics. In: Statistical Theory and Modelling. In Honour of Sir David Cox, FRS, eds. Hinkley, D. V., Reid, N. and Snell, E. J., Chapman & Hall.
Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
Generalized Linear Models. London: Chapman and Hall.
参见----------See Also----------
glm for computing glm.obj, anova.glm; the corresponding generic functions, summary.glm, coef, deviance, df.residual, effects, fitted, residuals.
glm计算glm.obj，anova.glm;相应的通用功能，summary.glm，coef，deviance，df.residual，effects，fitted，residuals。
influence.measures for deletion diagnostics, including standardized (rstandard) and studentized (rstudent) residuals.
influence.measures缺失诊断，包括标准化（rstandard）和学生化（rstudent）残差。
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。
|
发表于 2012-2-16 20:25:51
