proBin(flowStats)
proBin()所属R语言包：flowStats
Probability binning - a metric for evaluating multivariate differences
概率分级 - 评价多元差异的度量
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function divides the flowframe events into bins such that each bin contains the same number of events. The number of events falling into each bin can then be compared across the control and test samples using statistical methods such as the Chi-squared test.
此功能分为每个容器包含相同数量的事件，垃圾箱等flowframe事件。落入每个bin的事件数量，然后通过控制和测试使用的统计方法，如卡方检验的样品进行比较。
用法----------Usage----------
proBin(m, minEvents=500,channels=NULL)
参数----------Arguments----------
参数：m
An object of class flowFrame
一个对象的类flowFrame
参数：minEvents
The minEvents The minimum number of events in each bin. (i.e. the termination criterion for the probability binning algorithm)
minEvents在每个容器的事件的最低数量。 （即终止的概率分级算法标准）
参数：channels
A character vector for the Flourescence channels on which probability binning is to be performed. Defaults is NULL, in which case, all flourescence channels are used for probability binning.( Time information, if provided in the flowFrame is discarded)
一个要执行的概率分级Flourescence渠道的特征向量。默认值是NULL，在这种情况下，所有flourescence通道（提供时间信息，如果flowFrame在被丢弃概率分级使用。）
Details
详情----------Details----------
The flowSet is first filtered using a rectangleGate and the norm2Filter is subsequently fitted to the remaining subset.
flowSet首先筛选使用rectangleGate和norm2Filter随后被安装到其余的子集。
值----------Value----------
A list with items:
与项目列表：
参数：table
A data.frame that stores information regarding each node of the tree generated during each stage of the probability binning algorithm. Each row in the table represents a node, the first row representing the original flowFrame matrix. The dataIndx column provides indexes for retrieving the matrices during each stage of the binning process from the enviroment data . The parent field indicates the row number in the table that holds the parent information for the corresponding node. The left and right columns indicates the row numbers in the table that stores information regarding the children of that particular node. The leaf nodes that hold the binned data can be identified by the nodes with the left of right values of zero( ie. no children nodes) The visited column is used internally by the algorithm to check if a particular node has been visited during the computation process.
一个data.frame，在每个阶段的概率分级算法生成的树的每个节点的信息存储。表中的每一行代表一个节点，代表原flowFrame矩阵的第一行。 dataIndx列提供检索过程中的分选过程中的每个阶段，从环境data矩阵的指标。父字段表示在持有相应的节点的父资料表的行数。左边和右边的列显示行号表中存储有关的特定节点的儿童。左零右值（即无子女的节点）的访问的列使用内部算法，检查已在计算过程中访问特定节点的节点可以识别举行分级数据的叶节点的过程。
参数：data
An enviroment in which the matrices generated during each stage of the probability binning process is stored. The matrices stored at the leaf nodes represent the binned events obtained after the stop criterion of minEvents has been achieved. These can be identified by the corresponding dataIndx fields provided by the rows in the table with the left or right column values of zero.
一个环境中的概率分级过程的每个阶段过程中产生的矩阵存储。在叶节点中存储的矩阵表示已经实现了分级获得后一站式minEvents标准的事件。这些可确定零的左或右列的值与表中的行提供相应dataIndx的领域。
参数：limits
A list containing the the boundaries of each hyperplane generated during probability binning
一个列表，其中包含在每个超平面的边界产生的概率分级
参数：splitPars
A data.frame containing two columns splitCol - indicates the column number of the flowFrame , the split was performed. splitMed - The median value which was used as the threshold for splitting the flowFrame The splitCol and splitMed parameters are utilized by the plotBins and shadeBins functions in visualizing the differences between control and test sample cases.
一个data.frame两列splitCol - 表示flowFrame的列数，分裂。 - 中值，这是用来分裂的阈值splitMedflowFrame：splitCol和splitMed参数，并在可视化控制和测试样品情况之间的差异shadeBins功能plotBins利用。
作者（S）----------Author(s)----------
Nishant Gopalakrishnan
参见----------See Also----------
plotBins, binByRef
plotBins，binByRef
举例----------Examples----------
data(GvHD)
res<-proBin(GvHD[[1]],200,channels=c("FSC-H","SSC-H","FL1-H","FL4-H"))
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 18:10:45
