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The R Journal (December 2021) 13(2): Complete Issue
On behalf of the R Foundation and the Editorial board, I am pleased to present Volume 13 Issue 2 of the R Journal. This is the biggest issue ever!
First, some news from the Editorial board. A big thank you to Mike Kane, who has finished his term. As Editor-in-Chief in 2020, Mike expanded operations to include Associate Editors in the reviewing process. The R Journal now has a team of 20 Associate Editors. This has helped to manage the increasing number of submissions. We welcome new Associate Editors, Przemek Biecek, Chris Brunsdon, Mine Çetinkaya-Rundel, Kieran Healy, Adam Loy, Priyanga Dilini Talagala and Emi Tanaka, who have joined since the July 2021 issue. We also thank Taylor Arnold, who has stepped down, for his assistance over the past 18 months
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The R Consortium and the R Foundation
The R Consortium was announced at the useR! 2015 conference in Aalborg, Denmark on 30 June. It is a non-profit organization set up to provide infrastructure for the R community. The purpose of this article is to explain some of the background to the setting up of the Consortium and how it interacts with the R Foundation
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The R Journal (December 2015) 7(2): Complete Issue
Editorial, Bettina Grün
Contributed Research Articles
Fitting Conditional and Simultaneous Autoregressive Spatial Models in hglm, Moudud Alam, Lars Rönnegård, and Xia Shen
VSURF: An R Package for Variable Selection Using Random Forests, Robin Genuer, Jean-Michel Poggi, and Christine Tuleau-Malot
zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression, Fang Liu, and Yunchuan Kong
apc: An R Package for Age-Period-Cohort Analysis, Bent Nielsen
QuantifQuantile: An R Package for Performing Quantile Regression Through Optimal Quantization, Isabelle Charlier, Davy Paindaveine, and Jérôme Saracco
Numerical Evaluation of the Gauss Hypergeometric Function with the hypergeo Package, Robin K. S. Hankin
SRCS: Statistical Ranking Color Scheme for Visualizing Parameterized Multiple Pairwise Comparisons with R, Pablo J. Villacorta and José A. Sáez
An R Package for the Panel Approach Method for Program Evaluation: pampe, Ainhoa Vega-Bayo
BSGS: Bayesian Sparse Group Selection, Kuo-Jung Lee and Ray-Bing Chen
ClustVarLV: An R Package for the Clustering of Variables Around Latent Variables, Evelyne Vigneau, Mingkun Chen, and El Mostafa Qannari
Working with Multilabel Datasets in R: The mldr Package, Francisco Charte and David Charte
PracTools: Computations for Design of Finite Population Samples, Richard Valliant, Jill A. Dever, and Frauke Kreuter
ALTopt: An R Package for Optimal Experimental Design of Accelerated Life Testing, Kangwon Seo and Rong Pan
abctools: An R Package for Tuning Approximate Bayesian Computation Analyses, Matthew A. Nunes and Dennis Prangle
mtk: A General-Purpose and Extensible R Environment for Uncertainty and Sensitivity Analyses of Numerical Experiments, Juhui Wang, Robert Faivre, Hervé Richard, and Hervé Monod
treeClust: An R Package for Tree-Based Clustering Dissimilarities, Samuel E. Buttrey and Lyn R. Whitaker
mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes, Hideitsu Hino, Ken Takano, and Noboru Murata
Open-Channel Computation with R, Michael C. Koohafkan and Bassam A. Younis
Generalized Hermite Distribution Modelling with the R Package hermite, David Moriña, Manuel Higueras, Pedro Puig, and María Oliveira
Code Profiling in R: A Review of Existing Methods and an Introduction to Package GUIProfiler, Angel Rubio and Fernando de Villar
News and Notes
The R Consortium and the R Foundation, Martyn Plummer
Conference Report: useR! 2015, Torben Tvedebrink
News from the Bioconductor Project, The Bioconductor Team
Changes in R, The R Core Team
Changes on CRAN, Kurt Hornik and Achim Zeilei
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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