matrix.csr-class(SparseM)
matrix.csr-class()所属R语言包：SparseM
Class "matrix.csr"
类“matrix.csr”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A new class for sparse matrices stored in compressed sparse row format
一类新的存储稀疏矩阵压缩稀疏行格式
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("matrix.csr", ...). and coerced from various other formats. Coercion of integer scalars and vectors into identity matrices and diagonal matrices respectively is accomplished by as(x,"matrix.diag.csr") which generates an object that has all the rights and responsibilties of the matrix.csr class. The default matrix.csr object is a scalar (1 by 1) matrix with element 0.
可以创建对象通过调用的形式new("matrix.csr", ...)。被迫从各种其他格式。胁迫整数为单位矩阵和对角矩阵标量和矢量分别是通过as(x,"matrix.diag.csr")产生一个对象，所有的的权利和responsibilties的matrix.csr类。的默认matrix.csr对象是一个标量（1 1）矩阵元素0。
插槽----------Slots----------
ra: Object of class numeric, a real array of nnz elements containing the non-zero elements of A, stored in row order. Thus, if i<j, all elements of row i precede elements from row j. The order of elements
ra：类的对象numeric，NNZ元素非零元素A，行的顺序存储在一个真正的数组。因此，如果I <J，行，我行j的元素之前的所有元素。元素的顺序
ja: Object of class integer, an integer array of nnz elements containing the column
ja：类的对象integer，NNZ元素的整数数组包含列
ia: Object of class integer, an integer array of n+1 elements containing pointers to the beginning of each row in the arrays "ra" and "ja". Thus "ia[i]" indicates the position in the arrays "ra" and "ja" where the ith row begins. The last, (n+1)st, element of "ia" indicates where the n+1 row would start, if it existed.
ia：类integer，一个整数数组中的n +1个元素阵列的Ra“和”JA“中的每一行的开头包含指针的对象。因此，IA [i]的表示的阵列岭和ja的，其中开始的第i行中的位置。最后，（N +1）日，元素的“IA”表示，其中N +1行开始，如果它存在。
dimension: Object of class integer, dimension of the matrix
dimension：对象类integer，维数的矩阵
方法----------Methods----------
%*% signature(x = "matrix.csr", y = "matrix.csr"): ...
％*％signature(x = "matrix.csr", y = "matrix.csr")：...
%*% signature(x = "matrix.csr", y = "matrix"): ...
％*％signature(x = "matrix.csr", y = "matrix")：...
%*% signature(x = "matrix.csr", y = "numeric"): ...
％*％signature(x = "matrix.csr", y = "numeric")：...
%*% signature(x = "matrix", y = "matrix.csr"): ...
％*％signature(x = "matrix", y = "matrix.csr")：...
%*% signature(x = "numeric", y = "matrix.csr"): ...
％*％signature(x = "numeric", y = "matrix.csr")：...
as.matrix.csc signature(x = "matrix.csr"): ...
as.matrix.csc signature(x = "matrix.csr")...
as.matrix.ssc signature(x = "matrix.csr"): ...
as.matrix.ssc signature(x = "matrix.csr")...
as.matrix.ssr signature(x = "matrix.csr"): ...
as.matrix.ssr signature(x = "matrix.csr")...
as.matrix.coo signature(x = "matrix.csr"): ...
as.matrix.coo signature(x = "matrix.csr")...
as.matrix signature(x = "matrix.csr"): ...
as.matrix signature(x = "matrix.csr")...
chol signature(x = "matrix.csr"): ...
哲signature(x = "matrix.csr")：...
diag signature(x = "matrix.csr"): ...
诊断signature(x = "matrix.csr")：...
diag<- signature(x = "matrix.csr"): ...
诊断< - signature(x = "matrix.csr")：...
dim signature(x = "matrix.csr"): ...
昏暗的signature(x = "matrix.csr")：...
image signature(x = "matrix.csr"): ...
图像signature(x = "matrix.csr")：...
solve signature(a = "matrix.csr"): ...
解决signature(a = "matrix.csr")：...
t signature(x = "matrix.csr"): ...
Tsignature(x = "matrix.csr")：...
diff signature(x = "matrix.csr"): ...
差异signature(x = "matrix.csr")：...
参见----------See Also----------
matrix.csc-class
matrix.csc-class
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 2012-9-30 12:32:06
