cross: Special combination of Matrix and Vector
In CLAST: Exact Confidence Limits after a Sequential Trial
cross R Documentation
Special combination of Matrix and Vector
Description
This operation is useful in recursively generating all the possible path histories of a sequential design.
Usage
cross(A, v)
Arguments
A
An arbitrary matrix
v
An arbitrary vector
Details
For each component of v, the matrix A is duplicated with an extra right column equal to v[i]. This is added to the current output until the components of v are exhausted.
Value
A matrix with dim(A)[2]+1 columns and dim(A)[1]*length(v) rows.
Author(s)
Chris J. Lloyd
Examples
A=cbind(c(1,2),c(3,4))
v=c(5,6)
cross(A,v)
# [,1] [,2] [,3]
#[1,] 1 3 5
#[2,] 2 4 5
#[3,] 1 3 6
#[4,] 2 4 6
CLAST documentation built on April 8, 2022, 9:06 a.m.
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| cross | R Documentation |
Special combination of Matrix and Vector
Description
This operation is useful in recursively generating all the possible path histories of a sequential design.
Usage
cross(A, v)
Arguments
A |
An arbitrary matrix |
v |
An arbitrary vector |
Details
For each component of v, the matrix A is duplicated with an extra right column equal to v[i]. This is added to the current output until the components of v are exhausted.
Value
A matrix with dim(A)[2]+1 columns and dim(A)[1]*length(v) rows.
Author(s)
Chris J. Lloyd
Examples
A=cbind(c(1,2),c(3,4)) v=c(5,6) cross(A,v) # [,1] [,2] [,3] #[1,] 1 3 5 #[2,] 2 4 5 #[3,] 1 3 6 #[4,] 2 4 6
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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