regression_coefficient_plot: Regression Coefficient Plot

In preText: Diagnostics to Assess the Effects of Text Preprocessing Decisions

Description

Easy plotting for multiple regression results on same axes.

Usage

regression_coefficient_plot(data, text_size = 1, remove_intercept = FALSE,
  title = "")

Arguments

data	A data.frame produced by the 'preprocessing_choice_regression()' function, or a list created by the 'preText()' function.
text_size	The size of the text to be displayed. Defaults to 1.
remove_intercept	Logical indicating whether intercept coefficient should be plotted. Defaults to FALSE.
title	The title the user wishes to give the lot, which will be displayed instead of the axis title.

Value

A plot

Examples

## Not run: 
# load the package
library(preText)
# load in the data
data("UK_Manifestos")
# preprocess data
preprocessed_documents <- factorial_preprocessing(
    UK_Manifestos,
    use_ngrams = TRUE,
    infrequent_term_threshold = 0.02,
    verbose = TRUE)
# run preText
preText_results <- preText(
    preprocessed_documents,
    dataset_name = "Inaugural Speeches",
    distance_method = "cosine",
    num_comparisons = 100,
    verbose = TRUE)
# generate regression results
regression_coefficient_plot(preText_results,
                            remove_intercept = TRUE)

## End(Not run)

preText documentation built on May 1, 2019, 8:27 p.m.