bicorAndPvalue(WGCNA)
bicorAndPvalue()所属R语言包：WGCNA
Calculation of biweight midcorrelations and associated p-values
计算biweight midcorrelations和关联的p-值
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A faster, one-step calculation of Student correlation p-values for multiple biweight midcorrelations, properly taking into account the actual number of observations.
更快，计算学生相关的p值多个biweight midcorrelations的一个步骤，正确地考虑到实际的若干意见。
用法----------Usage----------
bicorAndPvalue(x, y = NULL,
use = "pairwise.complete.obs",
alternative = c("two.sided", "less", "greater"),
...)
参数----------Arguments----------
参数：x
a vector or a matrix
矢量或矩阵
参数：y
a vector or a matrix. If NULL, the correlation of columns of x will be calculated.
的矢量或矩阵。如果NULL，列x的相关性将被计算。
参数：use
determines handling of missing data. See bicor for details.
确定处理丢失的数据。见bicor的详细信息。
参数：alternative
specifies the alternative hypothesis and must be (a unique abbreviation of) one of "two.sided", "greater" or "less". the initial letter. "greater" corresponds to positive association, "less" to negative association.
指定替代假说和，必须（一个独特的缩写）"two.sided"，"greater"或"less"。的首字母。 "greater"对应于正相关，"less"呈负相关。
参数：...
other arguments to the function bicor.
其他参数功能bicor。
Details
详细信息----------Details----------
The function calculates the biweight midcorrelations of a matrix or of two matrices and the corresponding Student p-values. The output is not as full-featured as cor.test, but can work with matrices as input.
该函数计算的的biweight midcorrelations一个矩阵或两个矩阵和相应的学生p-值。输出是不齐全的特色作为cor.test，但可以作为输入矩阵。
值----------Value----------
A list with the following components, each a marix:
以下组件列表，每一个缺血再灌注1,2,3天明显减少：
参数：bicor
the calculated correlations
计算出的相关性
参数：p
the Student p-values corresponding to the calculated correlations
学生p-值对应于所计算的相关性
参数：Z
Fisher transform of the calculated correlations
Fisher变换计算出的相关性
参数：t
Student t statistics of the calculated correlations
学生的t统计量的计算相关性
参数：nObs
Numbers of observations for the correlation, p-values etc.
数的观测值的相关性，p值等
（作者）----------Author(s)----------
Peter Langfelder and Steve Horvath
参考文献----------References----------
Fast R Functions for Robust Correlations and Hierarchical Clustering. Journal of Statistical Software, 46(11), 1-17. http://www.jstatsoft.org/v46/i11/
参见----------See Also----------
bicor for calculation of correlations only;
bicor只用于计算的相关性;
cor.test for another function for significance test of correlations
cor.test的另一功能的显着性检验的相关性
实例----------Examples----------
# generate random data with non-zero correlation[生成随机数据与非零相关]
set.seed(1);
a = rnorm(100);
b = rnorm(100) + a;
x = cbind(a, b);
# Call the function and display all results[调用该函数，并显示所有结果]
bicorAndPvalue(x)
# Set some components to NA[将某些组件NA]
x[c(1:4), 1] = NA
corAndPvalue(x)
# Note that changed number of observations.[请注意，改变的若干意见。]
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 2012-10-1 21:07:10
