Suchergebnisse - Statistical Computing and Data Analysis in R

Teaching Statistical Concepts and Modern Data Analysis with a Computing-Integrated Learning Environment

Autoren: Burckhardt, Philipp Nugent, Rebecca Genovese, Christopher R.

Quelle: Journal of Statistics and Data Science Education. 2021 29(1):S61-S73.

Peer Reviewed: Y

Page Count: 20

Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis, Computer Science Education, Interdisciplinary Approach, Classroom Communication, Integrated Curriculum, Programming, Required Courses, Prerequisites, Lesson Plans, Computer Literacy, Integrated Learning Systems, Undergraduate Students, Computer Mediated Communication

DataDive: Supporting Readers' Contextualization of Statistical Statements with Data Exploration

Autoren: Hyunwoo Kim Khanh Duy Le Gionnieve Lim et al.

Quelle: Proceedings of the 29th International Conference on Intelligent User Interfaces. :623-639

Schlagwörter: Statistics and Probability, Interpretation (philosophy), Contextualization, Artificial intelligence, Statistical Literacy and Reasoning in Education, Data exploration, Natural language processing, 16. Peace & justice, Computer science, Data science, Programming language, 3. Good health, Information Visualization and Visual Data Mining, Artificial Intelligence, Physical Sciences, Computer Science, FOS: Mathematics, Statistical Computing and Data Analysis in R, Computer Vision and Pattern Recognition, 10. No inequality, Mathematics, Visualization

R: A Language for Data Analysis and Graphics

Autoren: Ihaka, Ross Gentleman, Robert

Quelle: Journal of Computational and Graphical Statistics, 1996 Sep 01. 5(3), 299-314.

Zugangs-URL: https://www.jstor.org/stable/1390807

Expanding the Scope of Statistical Computing: Training Statisticians to Be Software Engineers

Autoren: Reinhart, Alex Genovese, Christopher R.

Quelle: Journal of Statistics and Data Science Education. 2021 29(1):S7-S15.

Peer Reviewed: Y

Page Count: 9

Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education, Data Analysis, Course Descriptions, Programming, Student Projects, Engineering Education, Curriculum Development, Futures (of Society), Programming Languages, Teaching Methods, Active Learning, Homework, Grading

Meta-Feature-Based Traffic Accident Risk Prediction: A Novel Approach to Forecasting Severity and Incidence

Autoren: Wei Sun Lili Nurliyana Abdullah Puteri Suhaiza Sulaiman et al.

Quelle: Vehicles, Vol 6, Iss 2, Pp 728-746 (2024)

Schlagwörter: Artificial intelligence, Explainable Artificial Intelligence, traffic safety management, Feature (linguistics), Traffic accident, 02 engineering and technology, Machine Learning, Engineering, 5. Gender equality, 11. Sustainability, TJ1-1570, 0202 electrical engineering, electronic engineering, information engineering, Mechanical engineering and machinery, TJ227-240, Motor vehicles. Aeronautics. Astronautics, Statistical Modeling, Incidence (geometry), 05 social sciences, TL1-4050, Traffic Flow Prediction and Forecasting, FOS: Philosophy, ethics and religion, 3. Good health, Forensic engineering, machine learning, Statistical Analysis, Physical Sciences, Statistical Computing and Data Analysis in R, human factors, Probabilistic Forecasting, traffic accident risk prediction, Geometry, Epistemology, environmental factors, Artificial Intelligence, 0502 economics and business, FOS: Mathematics, meta-features, Machine design and drawing, Linguistics, Building and Construction, Accident (philosophy), 15. Life on land, Computer science, Philosophy, 13. Climate action, Computer Science, FOS: Languages and literature, Short-Term Forecasting, Mathematics

Dateibeschreibung: text

Zugangs-URL: https://doaj.org/article/1487e7ba41b44d08b1a4e5c10fb913c0

Statistical Computing in Functional Data Analysis: The R Package fda.usc

Autoren: Mauel Febrero-Bande Manuel Oviedo de la Fuente

Quelle: Journal of Statistical Software, Vol 51, Iss 4 (2012)

Schlagwörter: functional data regression, representation of functional data, non-parametric kernel estimation, depth measures, outlier, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: http://www.jstatsoft.org/v51/i04/paper; https://doaj.org/toc/1548-7660

Zugangs-URL: https://doaj.org/article/a227711733b64c5f8b858828f444f759

Statistical Computing in Functional Data Analysis: The R Package fda.usc

Autoren: Universidade de Santiago de Compostela. Departamento de Estatística e Investigación Operativa Febrero Bande, Manuel Oviedo de la Fuente, Manuel

Index Begriffe: Functional data regression, Representation of functional data, Non-parametric kernel estimation, Depth measures, Outlier, journal article

URL: http://hdl.handle.net/10347/18532
http://dx.doi.org/10.18637/jss.v051.i04

Evaluating the impact of the National Health Insurance Fund oncology benefits package and a healthcare workers' strike on time to cancer treatment initiation in Nairobi County, Kenya: An interrupted time series analysis.

Autoren: Gakunga, Robai Korir, Anne Bouttell, Janet

Quelle: PLoS ONE; 5/22/2025, Vol. 20 Issue 5, p1-15, 15p

Schlagwörter: NATIONAL health insurance, TIME series analysis, STATISTICAL significance, MEDICAL personnel, RESOURCE-limited settings

Creating optimal conditions for reproducible data analysis in R with 'fertile'.

Autoren: Bertin, Audrey M. Baumer, Benjamin S.

Quelle: Stat. Dec2021, Vol. 10, p1-13. 13p.

Schlagwörter: *DATA analysis, *STATISTICAL process control, *STANDARDS, *DATA science, *SCIENCE projects, *SCIENTIFIC knowledge

Animation and data visualization: an analysis protocol proposal

Autoren: Elson Teixeira Júlia Rabetti Giannella Doris Kosminsky

Quelle: InfoDesign: Brazilian Journal of Information Design, Vol 18, Iss 3 (2021)

Schlagwörter: Graph Visualization, Artificial intelligence, Alternative medicine, Theme (computing), Information technology, Readability, Data science, Narrative, Creative visualization, Artificial Intelligence, Information Visualization, Field (mathematics), FOS: Mathematics, Pathology, Data mining, Visualization, Human–computer interaction, Data visualization, Computer graphics (images), Data Visualization, Pure mathematics, Interactive Visualization, Linguistics, Animation, T58.5-58.64, Computer science, Programming language, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Statistical Analysis, Information Visualization and Visual Data Mining, Multimedia, Categorization, Computer Science, Physical Sciences, Protocol (science), FOS: Languages and literature, Medicine, Statistical Computing and Data Analysis in R, Storytelling, Computer Vision and Pattern Recognition, Mathematics

Zugangs-URL: https://doaj.org/article/7a97e0ed1e714be59bac85c657db73b0

Canadian contributions to environmetrics

Autoren: C. B. Dean A. H. El‐Shaarawi Sylvia R. Esterby et al.

Quelle: Canadian Journal of Statistics. 50:1355-1386

Schlagwörter: Environmental Engineering, FOS: Political science, FOS: Law, Natural resource, Digital Soil Mapping Techniques, 01 natural sciences, Environmental science, 12. Responsible consumption, Context (archaeology), Artificial Intelligence, 11. Sustainability, 14. Life underwater, 0101 mathematics, Environmental resource management, Regional science, Political science, Environmental planning, 0105 earth and related environmental sciences, Global and Planetary Change, Geography, Climate Change and Environmental Science, FOS: Environmental engineering, 15. Life on land, Statistical Analysis, Archaeology, 13. Climate action, Computer Science, Physical Sciences, Environmental Science, 8. Economic growth, Statistical Computing and Data Analysis in R, Law

Seamless Data Analysis, Visualizations and Sharing: Perspective from IRRI’s Rainfed Rice Breeding Program

Autoren: Waseem Hussain Sankalp Bhosale Margaret Catolos et al.

Schlagwörter: 0301 basic medicine, Alternative medicine, R language, Workflow, Data science, Database, 03 medical and health sciences, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Genetics, Pathology, Data mining, Visualization, 2. Zero hunger, 0303 health sciences, Data Visualization, Statistical Modeling, Life Sciences, 15. Life on land, Computer science, Rice Genomics, Statistical Analysis, Genetic Architecture of Quantitative Traits, 13. Climate action, FOS: Biological sciences, Computer Science, Physical Sciences, Medicine, Statistical Computing and Data Analysis in R, Data sharing

Zugangs-URL: https://www.researchsquare.com/article/rs-49247/v1
https://www.researchsquare.com/article/rs-49247/v1.pdf?c=1596398316000

RStudio for R Statistical Computing Cookbook : Over 50 Practical and Useful Recipes to Help You Perform Data Analysis with R by Unleashing Every Native RStudio Feature

Autoren: Andrea Cirillo

Resource Type: eBook.

Schlagworte: R (Computer program language), Mathematical statistics--Data processing

Categories: COMPUTERS / Languages / General, COMPUTERS / Programming / General, COMPUTERS / Mathematical & Statistical Software

A checklist for choosing between R packages in ecology and evolution

Autoren: Alessandro Filazzola Florencia Miguel Jenna Braun et al.

Quelle: Ecol Evol
Ecology and Evolution, Vol 10, Iss 3, Pp 1098-1105 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas

Schlagwörter: 0106 biological sciences, 0301 basic medicine, Information Systems and Management, Social Sciences, paradox of choice, ECOLOGY, Evolutionary ecology, R language, 01 natural sciences, Decision Sciences, Workflow, Data science, Database, 03 medical and health sciences, open source, Engineering, Artificial Intelligence, guidelines, Biology, QH540-549.5, Management and Reproducibility of Scientific Workflows, Species Distribution Modeling and Climate Change Impacts, Ecology, Host (biology), Ecological Modeling, R programming language, Paleontology, Computer science, EVOLUTION, Checklist, Process (computing), Management science, Operating system, R PACKAGES, FOS: Biological sciences, Computer Science, Physical Sciences, Environmental Science, heuristic, Statistical Computing and Data Analysis in R, checklist, Academic Practice in Ecology and Evolution

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ece3.5970
https://pubmed.ncbi.nlm.nih.gov/32076500
https://doaj.org/article/08c941b344a9407b89bceff18fe2f24a
https://pubmed.ncbi.nlm.nih.gov/32076500/
https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5970
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.5970
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029065
http://hdl.handle.net/11336/110885

An Introduction to Quantitative Text Analysis for Linguistics : Reproducible Research Using R

Autoren: Jerid Francom

Resource Type: eBook.

Schlagworte: Computational linguistics--Statistical methods, R (Computer program language), Text data mining

Categories: LANGUAGE ARTS & DISCIPLINES / Linguistics / General

SASSCAL WebSAPI: A Web Scraping Application Programming Interface to Support Access to SASSCAL’s Weather Data

Autoren: Tsaone Swaabow Thapelo Molaletsa Namoshe Oduetse Matsebe et al.

Quelle: Data Science Journal, Vol 20, Iss 1 (2021)
Data Science Journal; Vol. 20 (2021); 24

Schlagwörter: Parallel computing, Interface (matter), Science (General), Application programming interface, MEDLINE, FOS: Political science, Data extraction, 0207 environmental engineering, FOS: Law, 02 engineering and technology, 01 natural sciences, Weather forecasting, Database, Q1-390, Meteorology, Artificial Intelligence, dashboard, web scraping, Spatial Data, Data access, Political science, 0105 earth and related environmental sciences, Bubble, data visualisation, Geography, Statistical Modeling, 15. Life on land, Computer science, Programming language, World Wide Web, Statistical Analysis, Web Scraping, Information Visualization and Visual Data Mining, 13. Climate action, Computer Science, Physical Sciences, Web application, Statistical Computing and Data Analysis in R, Computer Vision and Pattern Recognition, Dashboard, Maximum bubble pressure method, Geospatial Analysis, Law, Data Visualisation

Dateibeschreibung: application/pdf; application/xml

Zugangs-URL: http://datascience.codata.org/articles/10.5334/dsj-2021-024/galley/1082/download/
https://doaj.org/article/f1c471a25a804abf9b748c2266e763e2
https://account.datascience.codata.org/index.php/up-j-dsj/article/view/dsj-2021-024
https://datascience.codata.org/articles/10.5334/dsj-2021-024/galley/1082/download/
https://datascience.codata.org/articles/10.5334/dsj-2021-024/

Building Physician-Scientist Skills in R Programming: A Short Workshop Report

Autoren: Aliyu, Muktar H. Sani, Mahmoud U. Ingles, Donna J. et al.

Quelle: Int J Transl Med Res Public Health

Schlagwörter: Statistics and Probability, Medical education, Test (biology), Logistic regression, Challenges and Innovations in Bioinformatics Education, R language, Article, 03 medical and health sciences, 0302 clinical medicine, Sociology, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, FOS: Mathematics, Statistical Thinking, Psychology, Molecular Biology, Biology, Internal medicine, Demography, Statistical Literacy and Reasoning in Education, Statistical Modeling, Pedagogy, 4. Education, Statistics, Life Sciences, Paleontology, 16. Peace & justice, McNemar's test, FOS: Sociology, 3. Good health, FOS: Psychology, Quantitative Skills, Statistical Analysis, Computer Science, Physical Sciences, Medicine, Statistical Computing and Data Analysis in R, Demographics, Curriculum, 0305 other medical science, Mathematics

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35854710

Use of R as a Toolbox for Mathematical Statistics Exploration

Autoren: Horton, Nicholas J. Brown, Elizabeth R. Qian, Linjuan

Quelle: The American Statistician, 2004 Nov 01. 58(4), 343-357.

Zugangs-URL: https://www.jstor.org/stable/27643595

Hornero: Thunderstorms Characterization using Visual Analytics

Autoren: Stefan Bruckner M. Eduard Gröller Juan Ruiz et al.

Weitere Verfasser: Stefan Bruckner M. Eduard Gröller Juan Ruiz et al.

Quelle: Computer Graphics Forum. 40:299-310

Schlagwörter: 02 engineering and technology, visual analytics, • HUMAN-CENTERED COMPUTING → VISUAL ANALYTICS, CCS CONCEPTS, Workflow, Data science, Context (archaeology), Storm, 0202 electrical engineering, electronic engineering, information engineering, Nowcasting, Visualization, Species Distribution Modeling and Climate Change Impacts, Convective storm detection, Ecological Modeling, Physics, Interactive Visualization, Geology, Statistical Analysis, Interactive visual analysis, Visual Analytics, Physical Sciences, Telecommunications, Statistical Computing and Data Analysis in R, Computer Vision and Pattern Recognition, Analytics, 10009 Department of Informatics, 000 Computer science, knowledge & systems, Weather forecasting, Database, Meteorology, Artificial Intelligence, Information Visualization, Data mining, visualization, Radar, Data visualization, Data Visualization, Visual analytics, VISUALIZATION APPLICATION DOMAINS, Paleontology, FOS: Earth and related environmental sciences, Computer science, Thunderstorm, Information Visualization and Visual Data Mining, 13. Climate action, weather events, Computer Science, Environmental Science

Dateibeschreibung: application/pdf; Hornero.pdf - application/pdf

Zugangs-URL: https://www.zora.uzh.ch/id/eprint/214714/1/Hornero.pdf
https://dblp.uni-trier.de/db/journals/cgf/cgf40.html#DiehlPRPGB21
https://diglib.eg.org/handle/10.1111/cgf14308
https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.14308
http://hdl.handle.net/11336/181255

Bibliometric Analysis of Statistics Journals Indexed in Web of Science Under Emerging Source Citation Index

Autoren: Nadeem Shafique Butt Ahmad Azam Malik Muhammad Shahbaz

Quelle: SAGE Open, Vol 11 (2021)

Schlagwörter: Web of science, Bibliometric Analysis and Research Evaluation, Citation index, FOS: Political science, MEDLINE, Social Sciences, Science Citation Index, FOS: Law, Social Sciences Citation Index, Library science, 01 natural sciences, Decision Sciences, Data science, Artificial Intelligence, AZ20-999, Bibliometric Analysis, Research Evaluation, FOS: Mathematics, 0101 mathematics, Citation, Political science, Geography, Statistical Modeling, Statistics, 05 social sciences, General Social Sciences, Computer science, World Wide Web, Descriptive statistics, Statistical Analysis, Citation analysis, Bibliometrics, Computational Text Analysis in Social Sciences, Computer Science, Physical Sciences, History of scholarship and learning. The humanities, Statistical Computing and Data Analysis in R, Statistics, Probability and Uncertainty, 0509 other social sciences, Law, Mathematics, Index (typography)

Zugangs-URL: https://journals.sagepub.com/doi/pdf/10.1177/2158244020988870
https://doaj.org/article/d0dd47228f254f0abe904f79d9399965
https://journals.sagepub.com/doi/pdf/10.1177/2158244020988870
https://journals.sagepub.com/doi/full/10.1177/2158244020988870
http://journals.sagepub.com/doi/10.1177/2158244020988870
https://ideas.repec.org/a/sae/sagope/v11y2021i1p2158244020988870.html