intraspotCorrelation(limma)
intraspotCorrelation()所属R语言包：limma
Intra-Spot Correlation for Two Color Data
现场内两种颜色数据的相关性
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Estimate the within-block correlation associated with spots for spotted two color microarray data.
估计斑点斑点两种颜色微阵列数据块内相关。
用法----------Usage----------
intraspotCorrelation(object, design, trim=0.15)
参数----------Arguments----------
参数：object
an MAList object or a list from which M and A values may be extracted
MAList对象或从M和A值可提取的列表
参数：design
a numeric matrix containing the design matrix for linear model in terms of the individual channels. The number of rows should be twice the number of arrays. The number of columns will determine the number of coefficients estimated for each gene.
包含在个人渠道方面的线性模型的设计矩阵数字矩阵。行数应该是阵列数量的两倍。列数将决定每一个基因的估计系数。
参数：trim
the fraction of observations to be trimmed from each end of the atanh-correlations when computing the consensus correlation. See mean.
观测分数，ATANH相关的每一端进行修整时，计算相关的共识。看到mean。
Details
详情----------Details----------
This function estimates the correlation between two channels observed on each spot. The correlation is estimated by fitting a heteroscedastic regression model to the M and A-values of each gene. The function also returns a consensus correlation, which is a robust average of the individual correlations, which can be used as input for functions lmscFit.
这个功能估计每个点上观察到的两个通道之间的相关性。相关估计拟合异方差回归模型M和每个基因值。该函数也返回共识的相关性，这是一个强劲的个人相关的平均水平，这可以作为输入功能lmscFit。
The function may take long time to execute.
该函数可能需要很长的时间来执行。
值----------Value----------
A list with components
与组件列表
参数：consensus.correlation
robust average of the estimated inter-duplicate correlations. The average is the trimmed mean of the correlations for individual genes on the atanh-transformed scale.
强劲的平均估计的重复间的相关性。平均是修剪的平均ATANH转化的规模上的单个基因的相关性。
参数：atanh.correlations
a numeric vector giving the individual genewise correlations on the atanh scale
数字向量，使个别，ATANH规模的2-6。相关
参数：df
numeric matrix of degrees of freedom associated with the correlations. The first column gives the degrees of freedom for estimating the within-spot or M-value mean square while the second gives the degrees of freedom for estimating the between spot or A-value mean square.
自由与相关关联度的数字矩阵。第一列给出了估算内当场或M值，均方根，而第二个给出了估计点或A值之间的自由度均方的自由度。
作者（S）----------Author(s)----------
Gordon Smyth
参考文献----------References----------
Proceedings of the 55th Session of the International Statistics Institute, 5-12 April 2005, Sydney, Australia, Paper 116. http://www.statsci.org/smyth/pubs/ISI2005-116.pdf
参见----------See Also----------
This function uses remlscore from the statmod package.
此功能使用remlscorestatmod的包。
An overview of methods for single channel analysis in limma is given by 07.SingleChannel.
单通道分析方法在limma概述的07.SingleChannel。
举例----------Examples----------
# See lmscFit[看到lmscFit]
## Not run: [＃无法运行：]
corfit <- intraspotCorrelation(MA, design)
all.correlations <- tanh(corfit$atanh.correlations)
boxplot(all.correlations)
## End(Not run)[＃结束（不运行）]
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 2012-2-25 23:16:35
