packPotts: Transform Potts Model Data
In potts: Markov Chain Monte Carlo for Potts Models
Description
Usage
Arguments
Value
Examples
Description
transform Potts model data from integer matrix to raw vector and
vice versa.
Usage
1
2
3
packPotts(x, ncolor)
inspectPotts(raw)
unpackPotts(raw)
Arguments
x
integer matrix containing Potts model data. Colors are coded
from one to ncolor.
ncolor
integer scalar, number of colors.
raw
vector of type "raw".
Value
for packPotts a vector of type "raw".
for inspectPotts a list containing components
ncolor, nrow, and ncol.
for unpackPotts an integer matrix.
Examples
1
2
3
4
5
6
x <- matrix(sample(4, 2 * 3, replace = TRUE), nrow = 2)
x
foo <- packPotts(x, ncolor = 4)
foo
inspectPotts(foo)
unpackPotts(foo)
potts documentation built on March 23, 2020, 5:07 p.m.
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Description Usage Arguments Value Examples
Description
transform Potts model data from integer matrix to raw vector and vice versa.
Usage
1 2 3 | packPotts(x, ncolor)
inspectPotts(raw)
unpackPotts(raw)
|
Arguments
x |
integer matrix containing Potts model data. Colors are coded
from one to |
ncolor |
integer scalar, number of colors. |
raw |
vector of type |
Value
for packPotts a vector of type "raw".
for inspectPotts a list containing components
ncolor, nrow, and ncol.
for unpackPotts an integer matrix.
Examples
1 2 3 4 5 6 | x <- matrix(sample(4, 2 * 3, replace = TRUE), nrow = 2)
x
foo <- packPotts(x, ncolor = 4)
foo
inspectPotts(foo)
unpackPotts(foo)
|
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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