Given the matrices nXm, and jYk, form the super matrix of dimensions (n+j) and (m+k) with with elements x and y along the super diagonal. Useful when considering structural equations. The measurement models x and y can be combined into a larger measurement model of all of the variables. If either x or y is a list of matrices, then recursively form a super matrix of all of those elements.
A n x m matrix or a list of such matrices
A j x k matrix or a list of such matrices
Several functions, e.g.,
make.keys use matrices that can be thought of as formed from a set of submatrices. In particular, when using
make.keys in order to score a set of items (
scoreOverlap) or to form specified clusters (
cluster.cor), it is convenient to define different sets of scoring keys for different sets of items and to combine these scoring keys into one super key.
A (n+j) x (m +k) matrix with appropriate row and column names
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mx <- matrix(c(.9,.8,.7,rep(0,4),.8,.7,.6),ncol=2) my <- matrix(c(.6,.5,.4)) colnames(mx) <- paste("X",1:dim(mx),sep="") rownames(mx) <- paste("Xv",1:dim(mx),sep="") colnames(my) <- "Y" rownames(my) <- paste("Yv",1:3,sep="") mxy <- superMatrix(mx,my) #show the use of a list to do this as well key1 <- make.keys(6,list(first=c(1,-2,3),second=4:6,all=1:6)) #make a scoring key key2 <- make.keys(4,list(EA=c(1,2),TA=c(3,4))) superMatrix(list(key1,key2))