recCompSize(ScISI)
recCompSize()所属R语言包:ScISI
A function that records the relative sizes of complex C-i from
记录复杂的词的相对大小,从一个功能
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function takes two bipartite graph matrices, bg1 and bg2. For each complex C-i of bg1, we find the relative size of C-i for every complex K-j of bg2. A matrix of these ratios is returned with all cardinalities of C-i as the numerators and K-j as denominators. A second matrix is calculated where the cardinality of K-j is the numerator and C-i is the denominator.
此功能需要两个二分图矩阵,BG1和BG2。对于每个BG1复杂的词,我们发现的:BG2复杂KJ每词的相对大小。这些比率矩阵,则返回所有词的基数作为分母的分子和KJ。第二个矩阵的计算,KJ基数是分子和CI是分母。
用法----------Usage----------
recCompSize(bg1, bg2)
参数----------Arguments----------
参数:bg1
The first bipartite graph as an incidence matrix
作为发病率的第一个二分图矩阵
参数:bg2
The second bipartite graph as an incidence matrix
第二二部图的关联矩阵
值----------Value----------
The return value is a list:
返回值是一个列表:
参数:OneOverTwo
The matrix where the cardinalities of complexes from bg1 are numerators.
矩阵从BG1配合物的基数是分子。
参数:TwoOverOne
Matrix where cardinalities of complexes from bg2 are numerators.
矩阵,其中基数从BG2复合物是分子。
作者(S)----------Author(s)----------
Tony Chiang
举例----------Examples----------
#go = getGOInfo(wantAllComplexes = FALSE)[去= getGOInfo(wantAllComplexes = FALSE时)]
#goM = createGOMatrix(go)[GOM = createGOMatrix(去)]
#mips = getMipsInfo(wantSubComplexes = FALSE)[MIPS = getMipsInfo(wantSubComplexes = FALSE时)]
#mipsM = createMipsMatrix(mips)[mipsM = createMipsMatrix(MIPS)]
#recCompSize(goM, mipsM)[recCompSize(GOM,mipsM)]
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。
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