select_loadings: Extract or Re-order Data Rows in Poisson NMF or Multinomial...

In stephenslab/fastTopics: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data

Extract or Re-order Data Rows in Poisson NMF or Multinomial Topic Model Fit

Description

This function can be used to extract estimates for a subset of the count data, or to re-order the rows of the loadings matrix.

Usage

## S3 method for class 'poisson_nmf_fit'
select(.data, loadings, ...)

## S3 method for class 'multinom_topic_model_fit'
select(.data, loadings, ...)

select_loadings(.data, loadings, ...)

Arguments

.data	Poisson NMF or Multinomial Topic Model fit; that is, an object of class “poisson_nmf_fit” or “multinom_topic_model_fit”, such as an output from fit_poisson_nmf or fit_topic_model.
loadings	Indices (names or numbers) giving data rows to keep. If not specified, all rows are kept.
...	Other arguments passed to the generic select function.

Value

A Poisson NMF or multinomial topic model fit containing the selected data rows only.

stephenslab/fastTopics documentation built on March 29, 2025, 3:24 p.m.