textTopicsTest: Wrapper for topicsTest function from the topics package

In OscarKjell/text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning

Wrapper for topicsTest function from the topics package

Description

Wrapper for topicsTest function from the topics package

Usage

textTopicsTest(
  model,
  x_variable = NULL,
  y_variable = NULL,
  controls = c(),
  test_method = "default",
  p_adjust_method = "fdr",
  ...
)

Arguments

model	(list) The trained model
x_variable	(string) The x variable name to be predicted, and to be plotted (only needed for regression or correlation)
y_variable	(string) The y variable name to be predicted, and to be plotted (only needed for regression or correlation)
controls	(vector) The control variables (not supported yet)
test_method	(string) The test method to use, either "correlation","t-test", "linear_regression","logistic_regression", or "ridge_regression"
p_adjust_method	(character) Method to adjust/correct p-values for multiple comparisons (default = "none"; see also "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr").
...	Parameter settings from topicsTest in the topics-package.

Value

A list of the test results, test method, and prediction variable

OscarKjell/text documentation built on April 3, 2025, 3:07 p.m.