JaccardCoef(ScISI)
JaccardCoef()所属R语言包：ScISI
A function to calculate the Jaccard similarity index between two sets
一个函数来计算两个集合之间的Jaccard相似性指数
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The JaccardCoef function takes the return values of compareComplex function and calculates, for each pair of complexes C-i and K-j (where C-i is in first bipartite graph matrix and K-j is second), the similarity coefficient of Jaccard.
JaccardCoef功能需要compareComplex函数的返回值，并计算，每个对配合物的词和KJ（CI是在第一个二分图矩阵和KJ是第二），Jaccard相似系数。
用法----------Usage----------
JaccardCoef(dataMat)
参数----------Arguments----------
参数：dataMat
A list which is the output from compareComplex, which is a list of three matrices: intersect, cminusk, and kminusc which are explained in the details.
一个列表，这是从compareComplex，这是三个矩阵列表输出：相交，cminusk，并解释说这是在细节的kminusc。
Details
详情----------Details----------
The argument of this function is a list of three matrices all of whom are indexed exactly in the same manner - the rows of each of the matrix is indexed by the complexes, {C-i}, of the first bipartite graph, bg1, and the colunms are indexed by the complexes, {K-j} of the second bipartite graph, bg2.
这个函数的参数的三个矩阵所有的人以同样的方式在索引完全列表 - 每个矩阵的行索引的第一个二分图，BG1，和的colunms的配合物，{CI}，索引的复合体，第二二部图，BG2 {KJ}。
The first matrix of the list is the intersect matrix, I. The (i,j) entry of I is the cardinality of complex C-i of bg1 and K-j of bg2.
列表的第一个矩阵是交叉矩阵，一，（I，J）进入我是复杂的词，BG1，BG2和KJ的基数。
The second matrix of the list is the cminusk matrix, Q. The (i,j) entry of Q is the cardinality of the set difference between C-i and K-j.
列表中的第二个的矩阵是cminusk的矩阵，问的Q（I，J）项基数词和KJ之间的差集。
The third matrix of the list is the kminusc matrix, P. The (i,j) entry of P is the cardinality of the set difference between K-j and C-i.
列表的第三个矩阵P的（I，J）项的P kminusc矩阵，是KJ与词之间的差集的基数。
The Jaccard Coefficient between two sets (here between two complexes) C-i and K-j is given by the quotient of cardinality(C-i intersect K-j) and cardinality(C-i union K-j). Note that cardinality(C-i intersect K-j) is the (i,j) entry of I, and that cardinality(C-i union K-j) is the sum of the (i,j) entry of I, Q, P.
两套（这里是两个配合之间）词和KJ之间的Jaccard系数基数商（CI相交KJ）和基数（CI工会KJ）。需要注意的是基数（CI相交KJ）是我（I，J）项，基数（CI工会KJ）的I（I，J）项，问，体育的总和
值----------Value----------
The return value is a matrix consisting of the Jaccaard coefficient for each pair of complexes C-i and K-j with rows in indexed by C-i and columns indexed by K-j.
返回值是由词和由KJ索引的列索引的行对每个词的复合物和KJ Jaccaard系数组成的矩阵。
作者（S）----------Author(s)----------
Tony Chiang
举例----------Examples----------
#go = getGOInfo(wantAllComplexes=FALSE)[去= getGOInfo（wantAllComplexes = FALSE时）]
#mips = getMipsInfo(wantSubComplexes=FALSE)[MIPS = getMipsInfo（wantSubComplexes = FALSE时）]
#goM = createGOMatrix(go)[GOM = createGOMatrix（去）]
#mipsM = createMipsMatrix(mips)[mipsM = createMipsMatrix（MIPS）]
#cc = runCompareComplex(mipsM, goM, byWhich = "ROW")[CC = runCompareComplex（mipsM，GOM，byWhich =“列”）]
#cc$simInd[CC $ simInd]
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。
|
发表于 2012-2-26 13:56:04
