compositions_hard_null: Simulated compositional data with no feature correlations
In biobakery/banocc: Bayesian ANalysis Of Compositional Covariance
compositions_hard_null R Documentation
Simulated compositional data with no feature correlations
Description
These are the normalized samples corresponding to counts_hard_null.
They should have a very different correlation structure from the counts.
In particular, there should be one strong, positive association which
is not present in the count correlation structure.
Usage
compositions_hard_null
Format
A data frame with 1000 rows (compositional samples) and 9
variables (the features)
Value
A data frame with 1000 compositional samples from 9 features,
generated by dividing each row of counts_hard_null by its sum.
biobakery/banocc documentation built on March 26, 2024, 11:41 p.m.
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| compositions_hard_null | R Documentation |
Simulated compositional data with no feature correlations
Description
These are the normalized samples corresponding to counts_hard_null.
They should have a very different correlation structure from the counts.
In particular, there should be one strong, positive association which
is not present in the count correlation structure.
Usage
compositions_hard_null
Format
A data frame with 1000 rows (compositional samples) and 9 variables (the features)
Value
A data frame with 1000 compositional samples from 9 features,
generated by dividing each row of counts_hard_null by its sum.
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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