This function tests the relationship between a single topic or all topics and a variable of interest. Available tests include correlation, t-test, linear regression, binary regression, and ridge regression. (EXPERIMENTAL - under development)

This function tests the relationship between a single topic or all topics and a variable of interest. Available tests include correlation, t-test, linear regression, binary regression, and ridge regression. (EXPERIMENTAL - under development)

textTopicsTest(
  model,
  pred_var,
  group_var = NULL,
  control_vars = c(),
  test_method = "linear_regression",
  multiple_comparison = "fdr",
  load_dir = NULL
)

Arguments

model

(data.frame) The model returned from textTopics().

pred_var

(string) Variable of interest for linear or binary regression

group_var

(string) Grouping variable for t-test

control_vars

(list) Control variables for linear or binary regression

test_method

(string) Choose between "correlation", "t-test", "binary_regression", "linear_regression" or "ridge_regression"

multiple_comparison

Method for correction of multiple tests (e.g., "fdr", "bonferroni").

load_dir

(string) if specified, the function returns the precomputed analysis from the directory, otherwise leave blank

Value

Metadata and results of the test such as estimate, t-value, p-value, and variable name.