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R Statistical Application Development by Example Beginner's Guide by Prabhanjan Narayanachar Tattar

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Time for action – matrix computations

We will see the basic matrix computations in the forthcoming steps. The matrix computations such as the cross-product of matrices, transpose, and inverse will be illustrated.

  1. Generate a 2 x 2 matrix with default values using matrix(nrow=2, ncol=2).
  2. Create a matrix from the 1:4 vector by running matrix(1:4,nrow=2,ncol=2, byrow="TRUE").
  3. Assign row and column names for the preceding matrix by using the option dimnames, that is, by running A <- matrix(data=1:4, nrow=2, ncol=2, byrow=TRUE, dimnames = list(c("R_1", "R_2"),c("C_1", "C_2"))) at the R console.
  4. Find the properties of the preceding matrices by using the commands nrow, ncol, dimnames, and few more, with dim(A); nrow(A); ncol(A); dimnames(A).
  5. Create two matrices ...

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