counts_hard_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 draw independently from very different log-normal
distributions whose means and variances are positively correlated. This
means that the compositions generated from this dataset
(see compositions_hard_null) should be have a correlation
structure very different from that of these counts.
Usage
1
Format
A data frame with 1000 rows (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 draw independently from very different log-normal
distributions whose means and variances are positively correlated. This
means that the compositions generated from this dataset
(see compositions_hard_null) should be have a correlation
structure very different from that of these counts.
Usage
1 |
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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