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ncodeR
View on CRAN: Click
here
Download and install ncodeR package within the R console
Install from CRAN:
install.packages("ncodeR")
Install from Github:
library("remotes")
install_github("cran/ncodeR") Install by package version:
library("remotes")
install_version("ncodeR", "0.2.0.1") Attach the package and use:
library("ncodeR")
Maintained by
Cody L Marquart
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-19
Latest Update: 2019-11-19
Description:
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.
How to cite:
Cody L Marquart (2018). ncodeR: Techniques for Automated Classifiers. R package version 0.2.0.1, https://cran.r-project.org/web/packages/ncodeR. Accessed 27 Aug. 2026.
Previous versions and publish date:
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View ncodeR citation profile
Other R packages that ncodeR depends,
imports, suggests or enhances
Complete documentation for ncodeR
Functions, R codes and Examples using
the ncodeR R package
Some associated functions: CodeSet . RS.data . RegexCode . as.data.frame.Code . as.data.frame.CodeSet . autocode . code.set . create.code . differences . expression.match . getHandSetIndices . getHandSetIndices2 . handcode . ncode . ncodeR . old_test . print.summary.Code . print.summary.CodeSet . print.summary.TestList . resolve . summary.Code . summary.CodeSet . summary.TestList . test .
Some associated R codes: Code.R . CodeSet.R . RS.data.R . RegexCode.R . Test.R . as.data.frame.Code.R . as.data.frame.CodeSet.R . autocode.R . differences.R . getHandSetIndices.R . handcode.R . ncode.R . ncodeR.R . resolve.R . summary&print.R . zzz.R . Full ncodeR package functions and examples
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