ncodeR0.2.0.1 package

Techniques for Automated Classifiers

as.data.frame.Code

Title

as.data.frame.CodeSet

Title

autocode

Match a list of expressions against some set of excerpts

code.set

Create CodeSet

CodeSet

CodeSet

create.code

Create a code

differences

Find Differences

expression.match

Expression Matching

getHandSetIndices

Handset indices

getHandSetIndices2

Get indices to code

handcode

Handcode excerpts

ncode

Wrapper for the entire coding process

ncodeR

ncodeR for qualitative coding

old_test

Calculate statistics

print.summary.Code

Print a Code summary

print.summary.CodeSet

Print the summary of a CodeSet

print.summary.TestList

Print a TestList summary

RegexCode

RegexCode

resolve

Resolve differences

summary.Code

Obtain summary of a Code object

summary.CodeSet

Obtain a summary of the CodeSet

summary.TestList

Obtain a summary of a Code's test results

test

Title

Download source packageRead PDF manual

A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.

  • Maintainer: Cody L Marquart
  • License: GPL-3 | file LICENSE
  • Last published: 2019-11-19