F.test.cca(yacca)
F.test.cca()所属R语言包：yacca
F Test for Canonical Correlations Using Rao's Approximation
F测试饶逼近的典型相关分析
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Tests a series of canonical correlations (sequentially) against the null hypothesis that the tested coefficient and all succeeding coefficients are zero.
测试一系列典型相关分析（按顺序），对零假设的测试系数和所有成功的系数是零。
用法----------Usage----------
F.test.cca(x, ...)
## S3 method for class 'F.test.cca'
print(x, ...)
参数----------Arguments----------
参数：x
a cca object.
一个cca对象。
参数：...
additional arguments.
其他参数。
Details
详细信息----------Details----------
Several related tests have been proposed for the evaluation of canonical correlations (including Bartlett's Chi-squared test, which is computed by default within cca). This function employs Rao's statistic (related to Wilks' Lambda) as the basis for an F test of each coefficient (and all others in ascending sequence) against the hypothesis that the associated population correlations are zero.
已经被提出了一些相关的测试评估的典型相关分析（包括Bartlett的卡方检验，它的计算方法是默认情况下，在cca）。此功能采用Rao的统计（Wilks的lambda）相关的人口相关性为零的假设，即对每个系数（和所有其他升序顺序）的F检验的基础。
值----------Value----------
An object of class F.test.cca, whose elements are as follows:
的对象类的F.test.cca，其要点如下：
参数：corr
Canonical correlations.
典型相关分析。
参数：statistic
Squared canonical correlations (shared variance across canonical variates).
平方典型相关分析（典型变量之间的共享方差）。
参数：parameter
Coefficients for the x variables on each canonical variate.
x变量对每个典型变量的系数。
参数：p.value
Coefficients for the y variables on each canonical variate.
y变量对每个典型变量的系数。
参数：method
Canonical variate scores for the x variables.
典型变量得分为x变量。
参数：data.name
Canonical variate scores for the y variables.
典型变量得分为y变量。
（作者）----------Author(s)----------
Nicholas L. Crookston <ncrookston@fs.fed.us>
Carter T. Butts <buttsc@uci.edu>
参考文献----------References----------
<h3>See Also</h3>
实例----------Examples----------
#Example: perceived personal attributes versus professional performance[例如：认为个人属性与专业的表现]
#for US Judges[美国法官]
data(USJudgeRatings)
personal <- USJudgeRatings[,c("INTG","DMNR","DILG","FAMI","PHYS")]
performance <- USJudgeRatings[,c("CFMG","DECI","PREP","ORAL","WRIT")]
cca.fit <- cca(personal, performance)
#Test the canonical correlations (see also summary(cca.fit))[测试的典型相关（亦见的摘要（cca.fit））]
F.test.cca(cca.fit)
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 2012-10-2 07:29:08
