A list-based class for storing the results of fitting gene-wise linear models to a batch of microarrays. Objects are normally created by lmFit.
一个基于列表的类，用于存储一批微阵列基因的分段线性拟合模型结果。 lmFit通常创建对象。
槽/组件----------Slots/Components----------
MArrayLM objects do not contain any slots (apart from .Data) but they should contain the following list components:
MArrayLM对象不包含任何插槽（除了.Data），但他们应该包含下面的列表组件：
coefficients: matrix containing fitted coefficients or contrasts
coefficients：matrix包含拟合系数或对比
stdev.unscaled: matrix containing unscaled standard deviations of the coefficients or contrasts
stdev.unscaled：matrix含非标度系数或对比的标准偏差
sigma: numeric vector containing residual standard deviations for each gene
sigma：numeric残留标准偏差为每个基因向量
df.residual: numeric vector containing residual degrees of freedom for each gene
df.residual：numeric残差自由度，每个基因的向量
Objects may also contain the following optional components:
对象还可以包含以下可选组件：
Amean: numeric vector containing the average log-intensity for each probe over all the arrays in the original linear model fit.
Amean：numeric向量为每个探针的平均log强度比原来的线性模型拟合中的所有阵列。
genes: data.frame containing gene names and annotation
genes：data.frame含有基因名称和注释
design: design matrix of full column rank
design：设计matrix满列秩
contrasts: matrix defining contrasts of coefficients for which results are desired
contrasts：matrix定义系数的对比结果为需要
F: numeric vector giving moderated F-statistics for testing all contrasts equal to zero
F：numeric向量提供用于测试所有放缓F-统计对比等于零
F.p.value: numeric vector giving p-value corresponding to F.stat
F.p.value：numeric向量给予p值对应的F.stat的
s2.prior: numeric value giving empirical Bayes estimated prior value for residual variances
s2.priornumeric价值给予经验Bayes估计剩余差额前值
df.prior: numeric vector giving empirical Bayes estimated degrees of freedom associated with s2.prior for each gene
df.prior：numeric向量提供经验贝叶斯估计自由s2.prior每个基因的关联度
var.prior: numeric vector giving empirical Bayes estimated prior variance for each true coefficient
var.prior：numeric向量给予经验Bayes估计每个真正系数事先方差
cov.coefficients: numeric matrix giving the unscaled covariance matrix of the estimable coefficients
cov.coefficients：数字matrix难能可贵的未缩放的协方差矩阵系数
pivot: integer vector giving the order of coefficients in cov.coefficients. Is computed by the QR-decomposition of the design matrix.
pivot：integer向量给cov.coefficients系数的秩序。设计矩阵的QR分解计算。
If there are no weights and no missing values, then the MArrayLM objects returned by lmFit will also contain the QR-decomposition of the design matrix, and any other components returned by lm.fit.
如果没有权重并没有缺失值，然后返回MArrayLM对象lmFit也将包含设计矩阵的QR分解，由lm.fit返回的任何其他组件。
方法----------Methods----------
RGList objects will return dimensions and hence functions such as dim, nrow and ncol are defined. MArrayLM objects inherit a show method from the virtual class LargeDataObject.
RGList对象将返回尺寸和功能，如dim，nrow和ncol定义。 MArrayLM对象继承虚拟类showLargeDataObject方法。
The functions ebayes and classifyTestsF accept MArrayLM objects as arguments.
职能ebayes和classifyTestsF接受MArrayLM对象作为参数。
作者（S）----------Author(s)----------
Gordon Smyth
参见----------See Also----------
02.Classes gives an overview of all the classes defined by this package.
02.Classes给出了一个概述此包中定义的所有类。
发表于 2012-2-25 23:18:32
