compositions_neg_spike: Simulated compositional data with a negative count...
In biobakery/banocc: Bayesian ANalysis Of Compositional Covariance
compositions_neg_spike R Documentation
Simulated compositional data with a negative count correlation
Description
These are the normalized data corresponding to counts_neg_spike. The
count data have one negative feature correlation, but the compositional
correlation strucutre should be different.
Usage
compositions_neg_spike
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_neg_spike by its sum.
biobakery/banocc documentation built on March 26, 2024, 11:41 p.m.
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| compositions_neg_spike | R Documentation |
Simulated compositional data with a negative count correlation
Description
These are the normalized data corresponding to counts_neg_spike. The
count data have one negative feature correlation, but the compositional
correlation strucutre should be different.
Usage
compositions_neg_spike
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_neg_spike 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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