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statistical software r version 4.2.1  (RStudio)

 
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    RStudio statistical software r version 4.2.1
    Statistical Software R Version 4.2.1, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/statistical+software+r+version+4%2E2%2E1/rstudio+version+1+3+1093/pm40344039-84-8-17
    Average 90 stars, based on 1 article reviews
    statistical software r version 4.2.1 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Vision-related quality of life in patients with glaucoma before and after trabeculectomy.
    Article Snippet: Statistical analyses were performed using the statistical software R, version 4.2.1, in RStudio, version 2022.07.2.

    Article Title: COVID-19 in Female and Male Athletes: Symptoms, Clinical Findings, Outcome, and Prolonged Exercise Intolerance-A Prospective, Observational, Multicenter Cohort Study (CoSmo-S).
    Article Snippet: Statistical analysis was performed with the statistical software R version 4.2.1 (R Core Team, 2020, R Foundation for Statistical Computing, Vienna, Austria) and RStudio Version 2.3.492 (2022) (RStudio Team, 2019 RStudio: Integrated Development for R. RStudio, Inc., Boston, MA, USA).

    Article Title: Sample selection bias due to omitting short trees for tree height estimation in forest inventories: A case study on Pinus koraiensis plantations in South Korea.
    Article Snippet: All analyses were conducted using the statistical software R (version 4.2.1) [39] in the integrated development environment R Studio (version 2022.7.0.548) [40].

    Article Title: Novel therapeutic targets: bifidobacterium-mediated urea cycle regulation in colorectal cancer
    Article Snippet: In this study, the statistical software R version 4.2.1 was used, and the code was compiled using the RStudio version 4.2.1 integrated development environment.

    Article Title: Sample selection bias due to omitting short trees for tree height estimation in forest inventories: A case study on Pinus koraiensis plantations in South Korea
    Article Snippet: All analyses were conducted using the statistical software R (version 4.2.1) [ ] in the integrated development environment R Studio (version 2022.7.0.548) [ ].



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