QualityWeights(limma)
QualityWeights()所属R语言包：limma
Spot Quality Weights
现场质量权重
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Functions to calculate quality weights for individual spots based on image analyis output file.
职能质量的权重计算个别形象analyis输出文件为基础的点。
用法----------Usage----------
wtarea(ideal=c(160,170))
wtflags(weight=0,cutoff=0)
wtIgnore.Filter
参数----------Arguments----------
参数：ideal
numeric vector giving the ideal area or range of areas for a spot in pixels
给一个像素点的理想区域或区域范围内的数值向量
参数：weight
weight to be given to flagged spots
重量必须考虑到标记点
参数：cutoff
cutoff value for Flags below which spots will be downweighted
Flags下面这点，将downweighted的临界值
Details
详情----------Details----------
These functions can be passed as an argument to read.maimages to construct quality weights as the microarray data is read in.
这些功能可以通过作为read.maimages建设质量权重的微阵列数据读入的参数
wtarea downweights unusually small or large spots and is designed for SPOT output. It gives weight 1 to spots which have areas in the ideal range, given in pixels, and linearly downweights spots which are smaller or larger than this range.
wtarea downweights异常或大或小的斑点和现货输出设计。它使重量1点，其中有在理想的范围内的区域，以像素为单位给出，线性downweights点小于或大于这个范围。
wtflags is designed for GenePix output and gives the specified weight to spots with Flags value less than the cutoff value. Choose cutoff=0 to downweight all flagged spots. Choose cutoff=-50 to downweight bad or absent spots or cutoff=-75 to downweight only spots which have been manually flagged as bad.
wtflags设计GenePix输出，并给出了指定的重量Flags值cutoff值点。选择cutoff=0downweight所有标记点。选择downweight坏或缺失点或cutoff=-50已经手动标记为坏downweight只点cutoff=-75。
wtIgnore.Filter is designed for QuantArray output and sets the weights equal to the column Ignore Filter produced by QuantArray. These weights are 0 for spots to be ignored and 1 otherwise.
wtIgnore.Filter设计为QuantArray输出，并设置权重等于列Ignore FilterQuantArray生产。这些权值0点被忽略，否则为1。
值----------Value----------
A function which takes a dataframe or matrix as argument and produces a numeric vector of weights between 0 and 1
，需要dataframe或矩阵作为参数，并产生0和1之间的权重数值向量函数
作者（S）----------Author(s)----------
Gordon Smyth
参见----------See Also----------
An overview of LIMMA functions for reading data is given in 03.ReadingData.
在03.ReadingData一个读取数据LIMMA功能的概述。
举例----------Examples----------
# Read in spot output files from current directory and give full weight to 165[读点输出文件在当前目录，并充分重视，以165]
# pixel spots. Note: for this example to run you must set fnames to the names[像素点。注意：这个例子的运行，你必须设置fnames，名称]
# of actual spot output files (data not provided).[实际现货输出文件（数据未提供）。]
## Not run: [＃无法运行：]
RG <- read.maimages(fnames,source="spot",wt.fun=wtarea(165))
# Spot will be downweighted according to weights found in RG[当场将根据发现重量在RG downweighted]
MA <- normalizeWithinArrays(RG,layout)
## 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 23:24:01
