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codecountR
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Download and install codecountR package within the R console
Install from CRAN:
install.packages("codecountR")
Install from Github:
library("remotes")
install_github("cran/codecountR")
Install by package version:
library("remotes")
install_version("codecountR", "0.0.4.0")
Attach the package and use:
library("codecountR")
Maintained by
Philippe Cohard
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-16
Latest Update: 2023-12-07
Description:
Data analysis frequently requires coding, in particular when data are collected by interviews, by observations or even by questionnaires. Therefore, code counting and data preparation are necessary phases to carry out the analysis. Thus, the analysts will wish to count the codes inserted in a text (tokenization and counting of a list of pre-established codes) and to carry out the preparation of the data (feature scaling min-max normalization, Zscore, Box and Cox transformation, non parametric bootstrap). For Box and Cox (1964) transformation, optimal Lambda is calculated by log-likelihood. Non parametric bootstrap is based on randomly sampling data with replacement. Package for educational purposes.
How to cite:
Philippe Cohard (2023). codecountR: Counting Codes in a Text and Preparing Data for Analysis. R package version 0.0.4.0, https://cran.r-project.org/web/packages/codecountR
Previous versions and publish date:
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Other R packages that codecountR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the codecountR R package
Some associated functions: BoxAndCox . analysCodesList . bootStrap . codeCount . loadCodes . normMinMax . subCalcBoxAndCox . tokenization . zScore .
Some associated R codes: BoxAndCox.R . analysCodesLis.R . bootStrap.R . codeCount.R . loadCodes.R . normMinMax.R . subCalcBoxAndCox.R . tokenization.R . zScore.R . Full codecountR package functions and examples
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