Package: codecountR
Title: Counting Codes in a Text and Preparing Data for Analysis
Version: 0.0.4.8
Authors@R: 
    person("Philippe", "Cohard", , "p.cohard@laposte.net", role = c("aut", "cre"))
Description: Data analysis often requires coding, especially when data
        are collected through interviews, observations, or
        questionnaires. As a result, code counting and data preparation
        are essential steps in the analysis process. Analysts may need
        to count the codes in a text (Tokenization, counting of
        pre-established codes, computing the co-occurrence matrix by
        line) and prepare the data (e.g., min-max normalization,
        Z-score, robust scaling, Box-Cox transformation, and
        non-parametric bootstrap). For the Box-Cox transformation (Box
        & Cox, 1964, <https://www.jstor.org/stable/2984418>), the
        optimal Lambda is determined using the log-likelihood method.
        Non-parametric bootstrap involves randomly sampling data with
        replacement. Two random number generators are also integrated:
        a Lehmer congruential generator for uniform distribution and a
        Box-Muller generator for normal distribution. Package for
        educational purposes.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-05 06:50:24 UTC; root
Author: Philippe Cohard [aut, cre]
Maintainer: Philippe Cohard <p.cohard@laposte.net>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-01 16:10:02 UTC
RemoteUrl: https://github.com/cran/codecountR
RemoteRef: HEAD
RemoteSha: 1df0f5e8c70e10908bb7e001c6036c3561cd6238