yhat-package(yhat)
yhat-package()所属R语言包：yhat
Interpreting Regression Effects
解释回归的影响
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The purpose of this package is to provide methods for variance partitioning for linear models and canonical correlation and methods for interpreting regression effects using beta weights, standardized beta weights, structure coefficients, and adjusted effect sizes.
这个包的目的是提供线性模型和典型相关分析和解释回归效果的方法使用二级权重，标准化的二级权重，结构系数和调整后的效果大小，方差分割方法。
Details
详细信息----------Details----------
The regr reports beta weights, standardized beta weights, structure coefficients, adjusted effect sizes, and commonality coefficients.
regr报告测试的权重，标准化的二级权重，结构系数，调整后的影响的大小，和通用系数。
The commonalityCoeffcients function is based on Mood's (1969) procedure for computing commonality analysis formulas for any number of k predictor variables. The function outputs a list of two tables. The first table lists the commonality coefficients and the percentage of variance associated with each effect. The second table provides a total of the unique and common effects for each independent variable. <br>
commonalityCoeffcients函数是根据情绪（1969）的程序，任何数目的k的预测变量的计算共同性分析公式。该函数输出两个表的列表。第一个表列出的共同性系数和每个效果与方差的百分比。第二个表共提供了独特的，每个自变量的共同作用。参考
The canonCommonality function produces commonality data for both canonical variables sets. Variables in a given canonical set are used to partition the variance of the canonical variates produced from the other canonical set and vica versa. Commonality data is supplied for the number of canonical functions requested. <br>
canonCommonality功能为典型变量集的通用性数据。在一个给定的标准集的变量，用于进行分区从其他的标准集和正相反产生的典型变量的方差。共同性数据被提供的请求的数目的规范函数。参考
Canonical commonality analysis is not substantively different from regression commonality analysis developed by Mood (1969). In fact, Beaton (1973) recognized multivariate commonality as a simple generalization of univariate commonality, indicating that the two techniques provide identical results when one canonical set contains only a single variable.
典型的共性分析是没有实质性不同的情绪（1969年）从回归共性分析。事实上，比顿（1973）承认多元的共性单变量的通用作为一个简单的概括，表明这两种技术提供了相同的结果时，一个典型的集只包含一个单一的变量。
（作者）----------Author(s)----------
Kim Nimon <kim.nimon@gmail.com>, J. Kyle Roberts <kyler@smu.edu>
参考文献----------References----------
Service No. ED111829)
Analysis Package. R package version 1.1.
system. Operations Research, 17, 770-784.
to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example. Behavior Research Methods, 40(2), 457-466.
参见----------See Also----------
regr commonalityCoefficients canonCommonality
regrcommonalityCoefficientscanonCommonality
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注：
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发表于 2012-10-2 07:33:24
