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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Comparative Study of Population-based Metaheuristic Algorithms in Case Study of DNA Sequence Assembly by Lala Septem Riza, Yudi Prasetyo, Muhammad Iqbal Zain, Herbert Siregar, Rani Megasari, Topik Hidayat, Diah Kusumawaty, Miftahurrahma Rosyda

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BIBLIOMETRIC ANALYSIS OF THE CONCEPT OF CONSUMPTION IN SOCIOLOGICAL STUDIES by Hayrettin Zengin, Yaşar Suveren

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Analyzing Intraday Financial Data in R: The highfrequency Package by Kris Boudt, Onno Kleen, Emil Sjørup

“… The highfrequency package for the R programming language provides functionality for pre-processing financial high-frequency data, analyzing intraday stock returns, and forecasting stock market volatility. …”
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Site selection analysis of radio monitoring stations to BDS based on STK orbital prediction data by Qi ZHANG, Hui LIN

“…BeiDou navigation satellite system (BDS) is a global navigation satellite system constructed and operated by China.At present,BDS is able to provide location,navigation and time service in Asia-Pacific,and will provide global service in 2020 as planned.As the fact of the rapid development of satellite communication technology,the spectrum and orbits of satellite are increasingly crowed.Therefore,it is vital to perform spectrum monitoring to BDS.Based on the STK orbital prediction data,the access time of the 14 non-GEO satellites in BDS to 9 Chinese cities in 10 days was collected.Group analysis according to different satellites and different cities,and similarity analysis within different cities were performed using the R programming language.At last,preliminary advices on site selection were provided according to the data analysis results.…”
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Application of a simplified methodology to estimate reservoir capacity curves by Santiago A. Ochoa-García

“…In this document, taking into consideration the fundamental concepts of Integral Calculus, the development of an innovative methodology is presented to obtain the Cota-Volume and Cota-Area curves in reservoirs; the methodology was formulated in R programming language with the help of geographic information tools. …”
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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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jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks by Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen, Søren Højsgaard, Niels Morling

“…The two packages are written in the R programming language and are freely available from the Comprehensive R Archive Network. …”
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Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction by Ratko M. Ivković, Ivana M. Milošević, Zoran N. Milivojević

“…The code is implemented in the R programming language, and both data and code used for the experiments are available in a public repository, allowing for replication and verification of the findings.…”
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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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Analyzing Student Behavioral Patterns in MOOCs Using Hidden Markov Models in Distance Education by Vassilios S. Verykios, Nikolaos S. Alachiotis, Evgenia Paxinou, Georgios Feretzakis

“…For implementing the proposed methodology, we use the R programming language. The dataset that we use was obtained from Kaggle and pertains to a MOOC of 4037 students.…”
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Scientometric tools in strategising the development of scientific periodicals: the case of the journal Digital Models and Solutions by V.A. Blaginin, E.V. Sokolova

“…The data analysis and visuali zation were performed utilizing the R programming language. The construction of thematic networks was carried out using the VOSviewer software, while additional visualization of certain results was executed using Scimago Graphica. …”
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Evaluation of habitat quality and determining the distribution of Wild goat (Capra aegagrus) in Roodbarak prohibited hunting region, Kelardasht, Iran by Mitra Koohestani, Saeid Naderi, Shabnam Shadloo

“…To model the species distribution, we benefitted from the three following modelling algorithms using biomod package implemented in R programming language: Generalized Linear Model (GLM), Generalized Boosted Models (GBM), and Random Forest (RF). …”
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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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The personnel policy for curators in the Kazan educational district and the age dynamics of professors at the Kazan University during 1804–1884 by T.V. Kostina, A.V. Kouprianov

“…New methods of data retrieval and visualization based on s­cripts created with the help of R programming language allow to analyze the temporal dynamics of the age structure in greatest detail. …”
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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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Adaptation of Artificial Intelligence Literacy Scale: Latent Profile Analysis by Mübin Kıyıcı, Mehmet Yıldız, Ali Kırksekiz, Metin Yıldız

“…Validity and reliability analyses were conducted with SPSS 27 and AMOS 24, and latent profile analysis was handled with R programming language. According to the results of the CFA analysis of the Artificial Intelligence Literacy Scale, the fit indices were found to be significant (X²/sd= 3.832, RMSEA=.062, CFI=.949, AGFI=.933, GFI=.960, NFI=.949, TLI=.928, IFI=.916). …”
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Perception of the stakeholders of the Romanian banking system on the adequacy of current accounting regulation by Denis Adrian Levanti, Aurelia Ștefănescu, Ileana Cosmina Pitulice

“…Analyses were conducted using the R programming language. To identify the factors that influenced the perceptions of the stakeholders and the differences in the respondent groups, Kruskal-Wallis and Mann-Whitney tests were applied. …”
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