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I have the following matrix
FI1 FI2 YI1 YI2 BAL1 BAL2 GRO1 GRO2 EQ1 EQ2
1 0.22 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05
2 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
3 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
4 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
5 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
6 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
Now I would like to have this matrix duplicated 10 times and put in a matrix such that it looks like this (I just show it 2 times here)
FI1 FI2 YI1 YI2 BAL1 BAL2 GRO1 GRO2 EQ1 EQ2
1 0.22 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05
2 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
3 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
4 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
5 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
6 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
1 0.22 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05
2 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
3 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
4 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
5 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
6 0.22 0.00 0.0 0.0 0.00 0.00 0.00 0.00 0.00 0.00
Can somebody propose me a simple way to accomplish this? Thanks Andreas
277
The matrix can be created by using matrix function in R and if we want to create a matrix by replicating a vector then we just need to focus on the replication. For example, if we have a vector V and we want to create matrix by replicating V two times then the matrix can be created as matrix(replicate(2,V),nrow=2).
The way to repeat rows in R is by using the REP() function. The REP() function is a generic function that replicates the value of x one or more times and it has two mandatory arguments: x: A vector.
rbind() function in R Language is used to combine specified Vector, Matrix or Data Frame by rows. deparse. level: This value determines how the column names generated. The default value of deparse.
First of all, create a data frame. Then, use rep function along with cbind function to repeat column values in the matrix by values in another column.
The mathematical way to do this is to take the Kronecker product of the matrix with a vector of ones.
mX = matrix(rnorm(100), 10, 10)
mX %x% rep(1, numTimesToRepeat)
Here's another way:
do.call(rbind, replicate(10, m, simplify=FALSE)) # where m is your matrix
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