plot.lexical_classification_preprocessed

The lexical_classification_preprocessed object.

The amount to jitter the points by in the bocplots.

jitter

The text size to use for plotting the mean in the boxplots.

text.size

The alpha level to use for points.

alpha

The number of columns to use for <code><a rd-options="ggplot2" href="/link/facet_wrap?package=qdap&version=2.3.0&to=ggplot2" data-mini-rdoc="ggplot2::facet_wrap">facet_wrap</a></code>.

ncol

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Plots a lexical_classification_preprocessed object.

Automates many of the tasks associated with quantitative discourse analysis of
transcripts containing discourse including frequency counts of sentence types,
words, sentences, turns of talk, syllables and other assorted analysis tasks. The
package provides parsing tools for preparing transcript data. Many functions enable
the user to aggregate data by any number of grouping variables, providing analysis
and seamless integration with other R packages that undertake higher level analysis
and visualization of text. This affords the user a more efficient and targeted
analysis. 'qdap' is designed for transcript analysis, however, many functions are
applicable to other areas of Text Mining/ Natural Language Processing.

Tyler Rinker

qdap

Bridging the Gap Between Qualitative Data and Quantitative
Analysis

Bryan Goodrich

Dason Kurkiewicz

plot.lexical_classification_preprocessed function

The number of columns to use for <code><a rd-options='ggplot2' href='facet_wrap'>facet_wrap</a></code>.

plot.lexical_classification_preprocessed: Plots a lexical_classification_preprocessed Object

Description

Usage

Arguments