funBI_lotting: Lotting
In JacopoDior/funBI: a Biclustering Algorithm for Functional Data
Description
Usage
Arguments
Value
Examples
Description
Divides the domain in sub-intervals of lenght greater than
int. The smallest sub-intervals have length equal to int while the
others are created by shifting by int along the continuous dimension and by
enlarging them by multiples of int in order to cover the whole T
Usage
1
funBI_lotting(mat, int)
Arguments
mat
a matrix
int
the minimum length of sub-intervarls
Value
A list containing all the possible starts and lengths of the sub-intervals
Examples
1
2
3
mat <- replicate(5, rnorm(5))
int <- 2
funBI_lotting(mat, int)
JacopoDior/funBI documentation built on May 6, 2019, 12:01 a.m.
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Description Usage Arguments Value Examples
Description
Divides the domain in sub-intervals of lenght greater than
int. The smallest sub-intervals have length equal to int while the
others are created by shifting by int along the continuous dimension and by
enlarging them by multiples of int in order to cover the whole T
Usage
1 | funBI_lotting(mat, int)
|
Arguments
mat |
a matrix |
int |
the minimum length of sub-intervarls |
Value
A list containing all the possible starts and lengths of the sub-intervals
Examples
1 2 3 | mat <- replicate(5, rnorm(5))
int <- 2
funBI_lotting(mat, int)
|
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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