In R, when I use a command like this:
b <-c(7,10)
b
Does it create a row vector (1 row, 2 cols) or a column vector (1 col, 2 rows) by default?
I can't tell from the displayed output. I am R beginner (as is obvious :))
Transpose. You can convert a row vector into a column vector (and vice versa) using the transpose operator ' (an apostrophe).
A column vector is an nx1 matrix because it always has 1 column and some number of rows. A row vector is a 1xn matrix, as it has 1 row and some number of columns.
You can treat a vector ( c() ) in R as a row or a column. It is a collection. it is made a column, such where the first index will address which column of the table is being referenced, in contradiction to what is orthodox in linear algebra.
If one argument is a vector, it will be promoted to either a row or column matrix to make the two arguments conformable. If both are vectors of the same length, it will return the inner product (as a matrix). So R will interpret a vector in whichever way makes the matrix product sensible.
You can treat a vector ( c () ) in R as a row or a column. You can see this by It is a collection. By default tho when casting to a data frame it is made a column, such where the first index will address which column of the table is being referenced, in contradiction to what is orthodox in linear algebra.
Convert data frame row to a vector 1 Create dataframe 2 Select row to be converted 3 Pass it to the function 4 Display result More ...
Neither. A vector does not have a dimension attribute by default, it only has a length.
If you look at the documentation on matrix arithmetic, help("%*%")
, you see that:
Multiplies two matrices, if they are conformable. If one argument is a vector, it will be promoted to either a row or column matrix to make the two arguments conformable. If both are vectors of the same length, it will return the inner product (as a matrix).
So R will interpret a vector in whichever way makes the matrix product sensible.
Some examples to illustrate:
> b <- c(7,10)
> b
[1] 7 10
> dim(b) <- c(1,2)
> b
[,1] [,2]
[1,] 7 10
> dim(b) <- c(2,1)
> b
[,1]
[1,] 7
[2,] 10
> class(b)
[1] "matrix"
> dim(b) <- NULL
> b
[1] 7 10
> class(b)
[1] "numeric"
A matrix is just a vector with a dimension attribute. So adding an explicit dimension makes it a matrix, and R will do that in whichever way makes sense in context.
And an example of the behavior in the context of matrix multiplication:
> m <- matrix(1:2,1,2)
> m
[,1] [,2]
[1,] 1 2
> m %*% b
[,1]
[1,] 27
> m <- matrix(1:2,2,1)
> m %*% b
[,1] [,2]
[1,] 7 10
[2,] 14 20
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