counts_neg_spike: Simulated count data with one negative feature correlation
In biobakery/banocc: Bayesian ANalysis Of Compositional Covariance
counts_neg_spike R Documentation
Simulated count data with one negative feature correlation
Description
Nine features are drawn from a log-normal distribution with one negative
correlation. The resulting compositions are in
compositions_neg_spike
Usage
counts_neg_spike
Format
A data frame with 1000 rows (samples) and 9 variables (the
features)
Value
A data frame with 1000 unconstrained samples from 9 features.
biobakery/banocc documentation built on March 26, 2024, 11:41 p.m.
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| counts_neg_spike | R Documentation |
Simulated count data with one negative feature correlation
Description
Nine features are drawn from a log-normal distribution with one negative
correlation. The resulting compositions are in
compositions_neg_spike
Usage
counts_neg_spike
Format
A data frame with 1000 rows (samples) and 9 variables (the features)
Value
A data frame with 1000 unconstrained samples from 9 features.
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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