computeFeatureMetrics: Computes different metrics for a given distributions
In predomics/predomicspkg: Interpretable Prediction in Omics Data
computeFeatureMetrics R Documentation
Computes different metrics for a given distributions
Description
This function computes to compute a certain number of metrics on a dataset for each variable
(rows, such as prevalence, quartile distribution, etc.)
Usage
computeFeatureMetrics(data)
Arguments
data:
a data frame containing the data to be treated.
Value
a data frame containing different metrics: variance_to_mean, signal_to_noise, variation_coefficient, efficiency and quartile_dispertion
predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.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.
| computeFeatureMetrics | R Documentation |
Computes different metrics for a given distributions
Description
This function computes to compute a certain number of metrics on a dataset for each variable (rows, such as prevalence, quartile distribution, etc.)
Usage
computeFeatureMetrics(data)
Arguments
data: |
a data frame containing the data to be treated. |
Value
a data frame containing different metrics: variance_to_mean, signal_to_noise, variation_coefficient, efficiency and quartile_dispertion
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.