R语言 oligoClasses包 AssayData-methods()函数中文帮助文档(中英文对照)

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AssayData-methods(oligoClasses)
AssayData-methods()所属R语言包：oligoClasses

                                        Methods for class AssayData in the oligoClasses package
                                         方法在oligoClasses包类AssayData

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Batch statistics used for estimating copy number are stored as AssayData in the 'batchStatistics' slot of the CNSet class. Each element in the AssayData must have the same number of rows and columns.  Rows correspond to features and columns correspond to batch.
“batchStatistics”槽的CNSet类的，用于估计拷贝数的一批统计作为AssayData存储。每个元素在AssayData必须有相同数量的行和列。行对应的功能和列对应批次。


类的对象----------Objects from the Class----------

A virtual Class: No objects may be created from it.
可以从它创建一个虚拟类：无对象。


方法----------Methods----------




batchNames signature(object = "AssayData"): ...
batchNamessignature(object = "AssayData")...




batchNames<- signature(object = "AssayData"): ...
batchNames < - signature(object = "AssayData")...




corr signature(object = "AssayData", allele = "character"): ...
更正signature(object = "AssayData", allele = "character")...




nu signature(object = "AssayData", allele = "character"): ...
NUsignature(object = "AssayData", allele = "character")...




phi signature(object = "AssayData", allele = "character"): ...
披signature(object = "AssayData", allele = "character")...


Details

详情----------Details----------

lM:  Extracts entire list of linear model parameters.
lM：线性模型参数提取的整个列表。

corr: The within-genotype correlation of log2(A) and log2(B) intensities.
corr：为log2（A）和为log2（乙）强度内基因型的相关性。

nu: The intercept for the linear model.  The linear model is fit to the A and B alleles independently.
nu：线性模型的截距。线性模型适合独立的A和B等位基因。

phi: The slope for the linear model.  The linear model is fit independently to the A and B alleles.
phi：线性模型的斜率。线性模型适合独立的A和B等位基因。


参见----------See Also----------

CNSet-class       
CNSet-class


举例----------Examples----------



x <- matrix(runif(250*96*2, 0, 2), 250, 96*2)
test1 <- new("CNSet", alleleA=x, alleleB=x, call=x, callProbability=x,
             batch=as.character(rep(letters[1:2], each=96)))
isCurrent(test1)
assayDataElementNames(batchStatistics(test1))
## Accessors for linear model parameters[＃线性模型参数的存取]
## -- Included here primarily as a check that accessors are working[＃ - 这里包括主要为支票存取正在]
## -- Values are all NA until CN estimation is performed using the crlmm package[ - 值都是不适用，直到点数估计使用crlmm包]
##[＃]
## subsetting[＃子集]
test1[1:10, 1:5]
## names of elements in the object[＃元素名称的对象]
## accessors for parameters[＃为参数的存取]
nu(test1, "A")[1:10, ]
nu(test1, "B")[1:10, ]
phi(test1, "A")[1:10, ]
phi(test1, "B")[1:10, ]

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