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: 2025-03-01 13:03:52 UTC; Cohard
Author: Philippe Cohard [aut, cre]
Maintainer: Philippe Cohard <p.cohard@laposte.net>
Repository: CRAN
Date/Publication: 2025-03-01 16:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:57:33 UTC; unix
