dist_tab

Generates a distribution table for vectors, matrices and dataframes.

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

dist_tab function

<dl><dt>dataframe</dt>
<dd>A vector or data.frame object.</dd>
<dt>breaks</dt>
<dd>Either a numeric vector of two or more cut points or a single 
number (greater than or equal to 2) giving the number of intervals into which 
x is to be cut.</dd>
<dt>digits</dt>
<dd>Integer indicating the number of decimal places (round) or 
significant digits (signif.) to be used. Negative values are allowed</dd>
<dt>...</dt>
<dd>Other variables passed to cut.</dd></dl>

Arguments

SPSS Style Frequency Tables — dist_tab

<dl>

<dt>dataframe</dt>
<dd>A vector or data.frame object.</dd>


<dt>breaks</dt>
<dd>Either a numeric vector of two or more cut points or a single 
number (greater than or equal to 2) giving the number of intervals into which 
x is to be cut.</dd>


<dt>digits</dt>
<dd>Integer indicating the number of decimal places (round) or 
significant digits (signif.) to be used. Negative values are allowed</dd>


<dt>...</dt>
<dd>Other variables passed to cut.</dd>

</dl>

dist_tab: SPSS Style Frequency Tables

Description

Usage

Value

Arguments

See Also

Examples