counts_null: Simulated count data with no feature correlations
In george-weingart/banocc: Bayesian ANalysis Of Compositional Covariance
Description
Usage
Format
Value
Description
Nine features are drawn independently from similar log-normal
distributions to generate null count data. Because the feature
distributions are very similar, the compositions generated from
this dataset (see compositions_null), should have a correlation
structure similar to that of the counts.
Usage
1
Format
A data frame with 1000 rows (the samples)
and 9 variables (the features)
Value
A data frame with 1000 unconstrained samples from 9 features.
george-weingart/banocc documentation built on May 17, 2019, 1:12 a.m.
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Description Usage Format Value
Description
Nine features are drawn independently from similar log-normal
distributions to generate null count data. Because the feature
distributions are very similar, the compositions generated from
this dataset (see compositions_null), should have a correlation
structure similar to that of the counts.
Usage
1 |
Format
A data frame with 1000 rows (the 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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