plot_loglik_vs_rank {fastTopics}

Plot Log-Likelihood Versus Rank

Description

Create a plot showing the improvement in the log-likelihood as the rank of the matrix factorization or the number of topics (“k”) increases.

Usage

plot_loglik_vs_rank(fits, ggplot_call = loglik_vs_rank_ggplot_call)

loglik_vs_rank_ggplot_call(dat, font.size = 9)

Arguments

fits

A list with 2 more list elements, in which each list element is an object of class "poisson_nmf_fit" or "multinom_topic_model_fit". If two or more fits share the same rank, or number of topics, the largest log-likelihood is plotted.

ggplot_call

The function used to create the plot. Replace loglik_vs_rank_ggplot_call with your own function to customize the appearance of the plot.

dat

A data frame passed as input to ggplot, containing, at a minimum, columns “x” and “y”.

font.size

Font size used in plot.

Value

A ggplot object.