calculateOutlierStats(beadarray)
calculateOutlierStats()所属R语言包：beadarray
Outlier distribution stats
离群点分布统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Function that determines the outlier beads on an array and how they are distributed among the segments
确定数组离群珠和它们是如何分布之间的细分市场的功能
用法----------Usage----------
calculateOutlierStats(BLData, array = array, transFun = logGreenChannelTransform, outlierFun = illuminaOutlierMethod, n=3, useLocs = TRUE, nSegments = 9,...)
参数----------Arguments----------
参数：BLData
a beadLevelData-class object
beadLevelData-class对象
参数：array
the number of the array of interest
利益阵列
参数：transFun
how the section data is to be transformed prior to calculating outliers
部分数据是如何转化之前计算离群
参数：outlierFun
a function for calculating outliers
为计算离群的功能
参数：n
an indicator of how extreme an observation must be (e.g. how many MADs from the median), to be passed to the function that will identify outliers
观察必须是极端的指标（如多少位数的MADS），被传递到的功能，将确定离群
参数：useLocs
use locs and sdf information (if available) to determine section layout
使用交通线和自卫队的信息（如果可用），以确定部分布局
参数：nSegments
manually set how many segments the section is divided into
手动设置部分分为多少段
参数：...
Additional arguments to be passed to outmeth.
额外的参数被传递到outmeth。
Details
详情----------Details----------
A section of an expression BeadChip (e.g. the Humanv3 or HumanHT-12) is made up of 9 physcially-separate segments. A useful QA check is to see how the outliers are distributed among these segments. Outliers are beads that have outlying intensities according to some rule that the user can specify. The default (as used by Illumina) is to exclude beads that are more than 3 median absolute deviations from the median. Once outliers are determined, the coordinates for these outliers are binned into segments by assuming that the segments are evenly spaced across the section surface.
第一个表达式的BeadChip（如Humanv3或HumanHT-12）是由9 physcially单独的段。一个有用的QA检查是怎么看的离群点分布在这些细分市场。离群的珠子，有外围的强度，根据一些规则，即用户可以指定。默认（Illumina公司）是排除珠是超过3位数的中位数绝对偏差。一旦确定离群，这些离群的坐标是分级假设段部分表面均匀地分布在间隔成段。
Note that sections from Sentrix Array Matrix do not have segments, so the results may not be informative
请注意，从Sentrix阵列矩阵部分没有细分，所以结果可能不翔实
值----------Value----------
vector with the percentage of beads found in each segment that were determined to be outliers
向量的百分比在每个段中发现的珠子，被确定为是离群
作者（S）----------Author(s)----------
Mark Dunning
举例----------Examples----------
if(require(beadarrayExampleData)){
data(exampleBLData)
##Artificial example, there are no segments on this type of BeadArray[＃人工例如，有没有这种类型的BeadArray段]
calculateOutlierStats(exampleBLData, array=1, nSegments=10, useLocs=FALSE)
calculateOutlierStats(exampleBLData, array=2, nSegments=10, useLocs=FALSE)
}
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 12:40:13
