start_matrix: Setup of the start matrix
In jkruppa/RepeatedHighDim: Global tests for expression data of high-dimensional sets of molecular features.
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Generation of the start matrix with n rows and specified marginal
probabilities p.
Usage
1
start_matrix(p, k)
Arguments
p
Marginal probabilities of the start matrix.
k
Number of rows to be generated.
Details
The start matrix needs to be setup for further use in the genetic
algorithm implemented in the function iter_matrix. For
high-dimensional cases or if the marginal probabilities have
multiple decimal places, the number k of rows should be large (up
to multiple thousand).
Value
A (k x p)-Matrix with with entries 0 and 1 according to
the specified marginal probabilities p.
Author(s)
Jochen Kruppa, Klaus Jung
Examples
1
2
3
4
X0 <- start_matrix(p = c(0.5, 0.6), k = 10000)
## check if p can be restored
apply(X0, 2, mean)
jkruppa/RepeatedHighDim documentation built on May 19, 2019, 12:45 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Generation of the start matrix with n rows and specified marginal probabilities p.
Usage
1 | start_matrix(p, k)
|
Arguments
p |
Marginal probabilities of the start matrix. |
k |
Number of rows to be generated. |
Details
The start matrix needs to be setup for further use in the genetic
algorithm implemented in the function iter_matrix. For
high-dimensional cases or if the marginal probabilities have
multiple decimal places, the number k of rows should be large (up
to multiple thousand).
Value
A (k x p)-Matrix with with entries 0 and 1 according to the specified marginal probabilities p.
Author(s)
Jochen Kruppa, Klaus Jung
Examples
1 2 3 4 | X0 <- start_matrix(p = c(0.5, 0.6), k = 10000)
## check if p can be restored
apply(X0, 2, mean)
|
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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