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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
Bibliometrix is a package for the R statistical programming language for quantitative research in scientometrics and bibliometrics. [1]Bibliometrics is the application of quantitative analysis and statistics to publications such as journal articles and their accompanying citation counts.
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project.
Ooms, Marius (2009). "Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics. Vol. 2: Applied Econometrics. Palgrave Macmillan. pp. 1321– 1348. ISBN 978-1-4039-1800-0. Renfro, Charles G. (2004).
The RStudio CRAN mirror download logs [11] show that the package is downloaded on average about 2,000 per month from those servers , [12] with a total of over 100,000 downloads since the first release, [13] according to RDocumentation.org, this puts the package in the 15th percentile of most popular R packages .
As an example, R packages tnet, [6] igraphtosonia [7] and cccd [8] depend on igraph R package. Users can use igraph on many operating systems. The C library and R and Python packages need the respective software, otherwise igraph is portable. The C library of igraph is well documented [9] as well as the R package [10] and the Python package [11]
tools for the preparation of transcript data; frequency counts of sentence types, words, sentences, turns of talk, syllables; aggregation using grouping variables; word extracting and visualization; statistical analysis. For higher level statistical analysis and visualization of text, qdap is integrated with R and offers integration with other ...