generate_sample: Generate Sample
In BigQuic: Big Quadratic Inverse Covariance Estimation
generate_sample R Documentation
Generate Sample
Description
Generates a sample data set for using with BigQuic, the default seed is 1 for
reproducibility. For high dimensional data, choose p much larger than n.
Usage
generate_sample(n = 200, p = 150, seed = NULL)
Arguments
n
The number of rows in the resulting data set.
p
The number of columns in the resulting data set.
seed
A seed for the random number generator in R.
BigQuic documentation built on Nov. 20, 2022, 1:06 a.m.
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| generate_sample | R Documentation |
Generate Sample
Description
Generates a sample data set for using with BigQuic, the default seed is 1 for reproducibility. For high dimensional data, choose p much larger than n.
Usage
generate_sample(n = 200, p = 150, seed = NULL)
Arguments
n |
The number of rows in the resulting data set. |
p |
The number of columns in the resulting data set. |
seed |
A seed for the random number generator in R. |
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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