R语言 affyPLM包 PLMset-class()函数中文帮助文档(中英文对照)

loveR

PLMset-class(affyPLM)
PLMset-class()所属R语言包：affyPLM

                                        Class PLMset
                                         类PLMset

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

This is a class representation for Probe level Linear
这是一个类为探针水平线性表示


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

Objects can be created using the function fitPLM
对象可以使用的功能fitPLM


插槽----------Slots----------




probe.coefs: Object of class "matrix". Contains model
probe.coefs：类“矩阵”的对象。包含模型




se.probe.coefs: Object of class "matrix". Contains
se.probe.coefs：类“矩阵”的对象。包含




chip.coefs: Object of class "matrix". Contains model
chip.coefs：类“矩阵”的对象。包含模型




se.chip.coefs: Object of class "matrix". Contains
se.chip.coefs：类“矩阵”的对象。包含




const.coefs: Object of class "matrix". Contains model
const.coefs：类“矩阵”的对象。包含模型




se.const.coefs: Object of class "matrix". Contains
se.const.coefs：类“矩阵”的对象。包含




model.description: Object of class "character". This
model.description：“人物”类的对象。这




weights: List of objects of class "matrix". Contains probe weights for each fit. The matrix has columns for chips and rows
weights：类“矩阵”的对象名单。包含每个合适的探针重量。矩阵列芯片和行




phenoData: Object of class "phenoData" This is an instance of class phenoData containing the patient (or case) level data. The columns of the pData slot of this
phenoData：类“phenoData”的对象，这是类phenoData包含的病人（或案例）级数据的一个实例。 PDATA插槽此列




annotation A character string identifying the
annotation字符串识别




experimentData: Object of class "MIAME". For compatibility with previous version of this class description can also be a "character". The class characterOrMIAME has been
experimentData：MIAME“类”的对象。对于这一类的描述以前版本的兼容性，也可以是一个“字符”。一直类characterOrMIAME




cdfName: A character string giving the name of the
cdfName：一个字符串的名称




nrow: Object of class "numeric". Number of rows in chip.
nrow：类“数字”的对象。芯片中的行的数目。




ncol: Object of class "numeric". Number of cols in
ncol：类“数字”的对象。数COLS




narrays: Object of class "numeric". Number of arrays
narrays：类“数字”的对象。阵列的数目




normVec: Object of class "matrix". For storing
normVec：类“矩阵”的对象。用于存储




varcov: Object of class "list". A list of
varcov：类“名单”的对象。一列




residualSE: Object of class "matrix". Contains residual
residualSE：类“矩阵”的对象。含有残留




residuals: List of objects of class "matrix". Contains
residuals：类“矩阵”的对象名单。包含




model.call: Object of class "call"
model.call：“呼叫”类对象


方法----------Methods----------




weights<- signature(object = "PLMset"): replaces the weights.
重量< - signature(object = "PLMset")：取代的重量。




weights signature(object = "PLMset"): extracts the
重signature(object = "PLMset")：提取




coefs<- signature(object = "PLMset"): replaces the
coefs < - signature(object = "PLMset")：替换




coefs signature(object = "PLMset"): extracts the
coefssignature(object = "PLMset")：提取




se signature(object = "PLMset"): extracts the
SEsignature(object = "PLMset")：提取




se<- signature(object = "PLMset"): replaces the
SE < - signature(object = "PLMset")：替换




coefs.probe signature(object = "PLMset"): extracts the
coefs.probesignature(object = "PLMset")：提取




se.probe signature(object = "PLMset"): extracts the
se.probesignature(object = "PLMset")：提取




coefs.const signature(object = "PLMset"): extracts the
coefs.constsignature(object = "PLMset")：提取




se.const signature(object = "PLMset"): extracts the
se.constsignature(object = "PLMset")：提取




getCdfInfo signature(object = "PLMset"): retrieve
getCdfInfosignature(object = "PLMset")：检索




image signature(x = "PLMset"): creates an image
图像signature(x = "PLMset")：创建一个图像




indexProbes signature(object = "PLMset", which =         "character"): returns a list with locations of the probes in each probe  set. The list names defines the probe set names. which can be "pm", "mm", or "both". If "both" then
indexProbessignature(object = "PLMset", which =         "character")：返回一个列表，在每个探针设置探针的位置。列表名称定义的探针集名称。 which可以是“下午”，“MM”，或“两个”。如果“双方”，然后




Mbox signature(object = "PLMset"): gives a boxplot of M's for each chip. The M's are computed relative to a "median"
MBOXsignature(object = "PLMset")：M的盒形图，每一个芯片。 M的计算“中位数”




normvec signature(x = "PLMset"): will return the normalization vector
normvecsignature(x = "PLMset")：将返回标准化向量




residSE signature(x = "PLMset"): will return the residual SE
residSEsignature(x = "PLMset")：将返回剩余东南




boxplot signature(x = "PLMset"): Boxplot of Normalized
盒形图signature(x = "PLMset")归盒形图




NUSE signature(x = "PLMset") : Boxplot of Normalized
怒色signature(x = "PLMset")归盒形图




RLE| signature(x = "PLMset") : Relative Log Expression
游程|signature(x = "PLMset")：相关log表达


注意----------Note----------

This class is better described in the vignette.
更好地描述这个类中的小插曲。


作者（S）----------Author(s)----------


B. M. Bolstad <a href="mailto:bmb@bmbolstad.com">bmb@bmbolstad.com</a>



参考文献----------References----------

Oligonucleotide Array Data: Background, Normalization and Summarization. PhD Dissertation. University of California,
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。