calcInOutDegStats(ppiStats)
calcInOutDegStats()所属R语言包：ppiStats
This function calculates the various degree statistic for a
此函数计算了不同程度的统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes a graphNEL argument and calculates several degree statistics for which further analysis can be made.
这个函数接受一个graphNEL的参数，并为进一步分析，可以计算数度统计。
用法----------Usage----------
calcInOutDegStats(graphObj, homodimer=FALSE)
参数----------Arguments----------
参数：graphObj
The argument graphObj is an instance of the class graphNEL.
参数graphObj是一个的类graphNEL的实例。
参数：homodimer
A logical. If FALSE, the function removes all homodimer relationships. It retains them otherwise.
一个逻辑。如果为FALSE，函数删除所有二聚体关系。它保留了他们，否则。
值----------Value----------
The return value is a list of various degree statistics of the PPI directed graph:
返回值是不同程度的统计数据，PPI向图的列表：
参数：inDegree
A named numeric vector. The names corresponds to the particular yeast Open Reading Frame (ORF), and each entry details how many edges flow towards that node, i.e. how many times each node was detected as a prey.
一个名为数字矢量。名称对应的特殊酵母的开放阅读框（ORF），每个条目的细节多少的边缘流向该节点，即多少次，每个节点检测作为猎物。
参数：outDegree
A named numeric vector. The names corresponds to the particular yeast Open Reading Frame (ORF), and each entry details how many edges flow out from that node, i.e. how many prey was detected by each node as a bait.
一个名为数字矢量。名称对应的特殊酵母的开放阅读框（ORF），每个条目的细节多少的边缘流从该节点，即多少猎物每个节点检测作为诱饵。
参数：inDegreeMinusOutDegree
A named numeric vector. This entry is the inDegree minus the outDegree entries, or the signed difference for each node as a prey to each node as a bait.
一个名为数字矢量。这个项目的入度减出度条目，或签署的差异为每个作为一个节点，每个节点作为诱饵的猎物。
参数：outDegreeMinusInDegree
A named numeric vector. This entry is the outDegree minus the inDegree entries, or the signed difference for each node as a bait to each node as a prey.
一个名为数字矢量。这个项目是出度减入度条目，或签署的差异为每个节点为每个节点作为猎物的诱饵。
参数：recipInDegree
A named numeric vector. Again the names represents the ORFs, while each entry corresponds to how many times each node was found as a prey in a reciprocated interaction.
一个名为数字矢量。再次名代表的ORF，而每个条目对应多少次，每个节点被发现猎物作为一个在投桃报李的互动。
参数：recipOutDegree
A named numeric vector. Again the names represents the ORFs, while each entry corresponds to how many times each node was found as a bait in a reciprocated interaction.
一个名为数字矢量。同样的名字代表的ORFs，而每个条目对应多少次，每个节点为诱饵在投桃报李互动。
参数：totalRecipDegree
A numeric. For the PPI graph given, this argument gives the total number of reciprocated interactions found.
一个数字。对于PPI图，这种说法给人发现的往复交互的总数。
参数：unrecipInDegree
A named numeric vector. The names corresponds ORF and each entry details how many edges flow towards each node modulo the reciprocated interactions, i.e. for each node $p$, how many baits $b$ detected $p$ as a prey with the condition that $p$ never detects $b$ as a prey.
一个名为数字矢量。名称对应的ORF和每个条目的细节对每个节点模多少边流的投桃报李相互作用，即每个节点$ P $，作为一个猎物多少诱饵$ B $检测$ P $ $ P $从未检测条件$ B $作为猎物。
参数：unrecipOutDegree
A named numeric vector. The names corresponds ORF and each entry details how many edges flow out from each node modulo the reciprocated interactions, i.e. for each node $b$, how many prey $p$ does $b$ detect with the condition that $b$ is never detected by $p$.
一个名为数字矢量。该名称对应的ORF和每个条目的详细信息是如何流入每个节点模投桃报李的相互作用，即每个节点$ B $许多边缘，多少猎物$ P $不$ B $ $ B $从未发现的情况下检测$ P $。
参数：totalUnrecipDegree
A numeric. The total number of unreciprocated interactions for the PPI graph given.
一个数字。 unreciprocated相互作用的PPI图总数。
...
...
作者（S）----------Author(s)----------
T Chiang
举例----------Examples----------
library(ppiData)
degStat <- calcInOutDegStats(Cagney2001BPGraph)
degStat$recipOutDeg
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。
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发表于 2012-2-26 11:16:46
