simvar: Simulate observations from a vector
In classifly: Explore Classification Models in High Dimensions
simvar R Documentation
Simulate observations from a vector
Description
Given a vector of data this function will simulate
data that could have come from that vector.
Usage
simvar(x, n = 10, method = "grid")
Arguments
x
data vector
n
desired number of points (will not always be achieved)
method
grid simulation method. See details.
Details
There are three methods to choose from:
nonaligned (default): grid + some random peturbation
grid: grid of evenly spaced observations. If a factor,
all levels in a factor will be used, regardless of n
random: a random uniform sample from the range of the variable
classifly documentation built on May 20, 2022, 9:06 a.m.
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| simvar | R Documentation |
Simulate observations from a vector
Description
Given a vector of data this function will simulate data that could have come from that vector.
Usage
simvar(x, n = 10, method = "grid")
Arguments
x |
data vector |
n |
desired number of points (will not always be achieved) |
method |
grid simulation method. See details. |
Details
There are three methods to choose from:
nonaligned (default): grid + some random peturbation
grid: grid of evenly spaced observations. If a factor, all levels in a factor will be used, regardless of n
random: a random uniform sample from the range of the variable
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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