Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Mengya Cao

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Visualization with R Programming Language of the Particulate Matter (PM10) Quantities in Cities of Turkey by İbrahim Edibali Atalay, Serdar Neslihanoğlu

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Retracted: Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Journal of Mathematics

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Evaluation of Turkish Health System Capacity at Provincial Level by WISP Method Based on Weighting Methods by Tevfik Bulut

“…The secondary objective of the study is to develop application algorithms for the weighting methods utilized in the R programming language.Methodology: The decision criteria used in evaluation of health system capacity were weighted by CRITIC, Shannon Entropy, and NMV methods. …”
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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“…The study focuses on reliability analysis and investigates the probability functions of the distribution to create a theoretical framework for parameter estimation by Using R programming language for in-depth analysis. Through simulation and real data analysis, several estimation techniques are compared and contrasted, demonstrating the superiority of the Linear Quantile Moment approach in terms of accuracy and model fit. …”
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Radiological and Clinical Prognostic Factors of Recurrence of Subacute and Chronic Subdural Hematomas by Milda Paliulytė, Gytis Šustickas

“…Descriptive analysis, hypothesis testing and correlation matrix were performed using Excel spreadsheet and R programming language with the significance at p-value < 0.05. …”
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INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY by IAPĂSCURTĂ, Victor, ȚURCANU, Dinu, SIMINIUC, Rodica

“…The application was built in R programming language using the Shiny package, and the interaction between HN-Assistant and GPT-4o is based on an API in Python.…”
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Research progress of breast cancer surgery during 2010–2024: a bibliometric analysis by Jiawei Kang, Nan Jiang, Munire Shataer, Tayier Tuersong

“…PurposeThis study seeks to systematically analyze the research literature pertaining to breast cancer surgery from 2010 to 2024, as indexed in the PubMed database, employing bibliometric methodologies.MethodsEmploying the “bibliometrix” package in the R programming language, alongside VOSviewer and CiteSpace software, this research conducted a comprehensive visual analysis of 1,195 publications. …”
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Using Artificial Intelligence to Analyze Nature of Science Themes: Einstein and Eddington Documentary Film Example by Yusuf Kartal, Munise Seckin-Kapucu

“…The Latent Dirichlet Allocation algorithm developed with R programming language was used to analyze the data. In the analysis made by the computer, it is seen that science-related words such as science, scientist, theory, the universe, Eddington, think, speed, and answer stand out. …”
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AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs by Samuel S. Boyd, Chad Slawson, Jeffrey A. Thompson

“…Software is freely available in the R programming language at https://github.com/samboyd0/AMEND .…”
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Pediatric kidney transplant recipients are at an increased risk for dysbiosis by Gizem Yılmaz, Seha Saygılı, Ayşe Ağbaş, Esra Karabağ Yılmaz, Ahmet Variş, Nur Canpolat

“…The gut microbiota was assessed using 16S rRNA gene sequencing, with alpha and beta diversity, as well as all statistical analyses, conducted using the Phyloseq library in the R programming language. Taxonomic profiles were evaluated with QIIME2, and differences in gut microbiota profiles were compared using linear discriminant analysis effect size (LEFSe) with an LDA threshold of &gt;2 and p &lt; 0.05.ResultsNo significant differences were found in alpha and beta diversity between the KTx recipients and healthy controls. …”
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Role of Serum and Ultrasonometric Markers in the Early Diagnosis of Malignant Transformation of Periductal Liver Fibrosis in Patients with <i>Opisthorchis Felineus</i> Infection by A. Е. Kovshirina, O. S. Fedorova, Yu. V. Kovshirina, V. A. Petrov

“…Statistical analysis was performed using the R programming language (version 3.6.1).Results. Evaluation of the relationship between the presence of ultrasound signs of stage 1–2 opisthorchiasis-associated periductal fibrosis and changes in serum levels of the biochemical, immunologic parameters and oncomarkers in patients with O. felineus infection demonstrated that the levels of alkaline phosphatase, conjugated bilirubin, AST, glucose and CA 19-9 oncomarker were significantly higher in the serum of patients in the group with cholangio-carcinoma and opisthorchiasis (p &lt; 0.01).Conclusion. …”
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Bibliometric analysis of holographic data storage literature by K. Kumar, R. Parameswaran

“…After exporting 1052 data sources, HistCite software was used to analyze the citations; visualization mapping was carried out using VOSviewer software and R programming language for the analysis of the authorcountry-title association on Holographic Storage Devices.Results. …”
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mRNA-lncRNA gene expression signature in HPV-associated neoplasia and cervical cancer by E. D. Kulaeva, E. S. Muzlaeva, E. V. Mashkina

“…Batch effect correction, identification of differentially expressed genes, and gene set enrichment analysis (GSEA) were performed using R programming language packages. Subcellular localization of lncRNA was analyzed  using Locate-R and iLoc-LncRNA 2.0 web services. 1,572 differentially expressed genes (DEGs) were recorded in the “cancer vs. control” comparison, and 1,260 DEGs were recorded in the “cancer vs. neoplasia” comparison. …”
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A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. …”
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Evaluation of Immune Characteristics and Factors Associated with Immune Response following Hepatitis B Vaccination among Ghanaian Adolescents by Samuel Asamoah Sakyi, Joseph Badu Gyapong, Ebenezer Krampah Aidoo, Alfred Effah, Simon Koffie, Oscar Simon Olympio Mensah, Isaac Arddey, Godwin Boakye, Stephen Opoku, Benjamin Amoani, Robert Amadu Ngala

“…Statistical analyses were done using SPSS version 26.0 and R programming language, p<0.05 was considered statistically significant. …”
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Medication burden in patients with dialysis-dependent CKD: a systematic review by Xuemei Liu, Ping Chen, Yun Liu, Xiaoyan Jia, Dongmei Xu

“…Data extraction and combining from multiple groups of number (n), mean, and standard deviation (SD) were performed using R programming language (version4.3.1; R Core Team, Vienna, Austria). …”
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Why and how should we simulate platform trials? Learnings from EU-PEARL by Elias Laurin Meyer, Tobias Mielke, Marta Bofill Roig, Michaela Maria Freitag, Peter Jacko, Pavla Krotka, Peter Mesenbrink, Tom Parke, Sonja Zehetmayer, Dario Zocholl, Franz König

“…We addressed the functionality limitations of existing software as well as the unavailability of the coding therein by developing a suite of open-source software to use in simulating platform trials based on the R programming language. To give some examples, the newly developed software supports simulating staggered entry of treatments throughout the trial, choosing different options for control data sharing, specifying different platform stopping rules and platform-level operating characteristics. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The technical methodology includes the following three independent tools: 1) Generic Mapping Tools (GMT); 2) Selected libraries of R programming language; 3) QGIS. Specifically, the GMT scripting program was used for topographic, seismic and geophysical mapping, while QGIS was used for geologic mapping and R language for geomorphometric modeling. …”
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Building a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometerZenodo by Colleen Partida, Jose Lucas Safanelli, Sadia Mannan Mitu, Mohammad Omar Faruk Murad, Yufeng Ge, Richard Ferguson, Keith Shepherd, Jonathan Sanderman

“…K), sand, silt, and clay content from their spectra in the R programming language using most of this dataset (1,976 US soils) and are included in this data release. …”
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