Menu
How can I concatenate matrices of same columns but different number of rows? For example, I want to concatenate a (dim(a) = 15 7000) and b (dim(b) = 16 7000) and I want the result to be a matrix of 31 rows by 7000 columns.
Can I also do this for matrices with a different number of rows and columns? Say I want to combine a matrix of 15 rows and 7000 columns with another of 16 rows and 7500 columns. Can I create one dataset with that?
556
Combining two matrices in R To combine two or more matrices in R, we use the following functions: rbind() : Used to add the matrices as rows. cbind() : Used to add the matrices as columns.
Concatenating Matrices You can also use square brackets to join existing matrices together. This way of creating a matrix is called concatenation. For example, concatenate two row vectors to make an even longer row vector. To arrange A and B as two rows of a matrix, use the semicolon.
as. matrix converts its first argument into a matrix, the dimensions of which will be inferred from the input. matrix creates a matrix from the given set of values. as.
Use numpy. concatenate : >>> import numpy as np >>> np. concatenate((A, B)) matrix([[ 1., 2.], [ 3., 4.], [ 5., 6.]])
Sounds like you're looking for rbind:
> a<-matrix(nrow=10,ncol=5) > b<-matrix(nrow=20,ncol=5) > dim(rbind(a,b)) [1] 30 5 Similarly, cbind stacks the matrices horizontally.
I am not entirely sure what you mean by the last question ("Can I do this for matrices of different rows and columns.?")
95
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
