tidy.tidylda: Tidy a matrix from a 'tidylda' topic model

In tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions

Tidy a matrix from a tidylda topic model

Description

Tidy the result of a tidylda topic model

Usage

## S3 method for class 'tidylda'
tidy(x, matrix, log = FALSE, ...)

## S3 method for class 'matrix'
tidy(x, matrix, log = FALSE, ...)

Arguments

x	an object of class tidylda or an individual beta, theta, or lambda matrix.
matrix	the matrix to tidy; one of 'beta', 'theta', or 'lambda'
log	do you want to have the result on a log scale? Defaults to FALSE
...	other arguments passed to methods,currently not used

Value

Returns a tibble.

If matrix = "beta" then the result is a table of one row per topic and token with the following columns: topic, token, beta

If matrix = "theta" then the result is a table of one row per document and topic with the following columns: document, topic, theta

If matrix = "lambda" then the result is a table of one row per topic and token with the following columns: topic, token, lambda

Functions

• tidy(matrix): Tidy an individual matrix. Useful for predictions and called from tidy.tidylda

Note

If log = TRUE then "log_" will be appended to the name of the third column of the resulting table. e.g "beta" becomes "log_beta".

Examples

dtm <- nih_sample_dtm

lda <- tidylda(data = dtm, k = 10, iterations = 100, burnin = 75)

tidy_beta <- tidy(lda, matrix = "beta")

tidy_theta <- tidy(lda, matrix = "theta")

tidy_lambda <- tidy(lda, matrix = "lambda")

tidylda documentation built on May 29, 2024, 11:03 a.m.