counts_hard_null: Simulated count data with no feature correlations
In biobakery/banocc: Bayesian ANalysis Of Compositional Covariance
counts_hard_null R Documentation
Simulated count data with no feature correlations
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
counts_hard_null
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.
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.
| counts_hard_null | R Documentation |
Simulated count data with no feature correlations
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
counts_hard_null
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.