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r software v. 3.5.1  (RStudio)

 
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    RStudio r software v. 3.5.1
    R Software V. 3.5.1, 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/r+software+v%2E+3%2E5%2E1/rstudio+version+1+3+1093/pm40362910-103-25-29
    Average 90 stars, based on 1 article reviews
    r software v. 3.5.1 - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Generated:

    Article Title: Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
    Article Snippet: A decision tree was created using the rpart package, a random forest was implemented using the RandomForest package analyses, and the graphical representation was performed with R software v. 3.5.1 (Integrated Development for R. RStudio, PBC, Boston, MA, USA).

    Article Title: Adherence to β-hydroxy-β-methylbutyrate-Enriched Oral Nutritional Supplements Enhances Survival and Nutritional Recovery in Malnourished Outpatients: Prognostic Insights.
    Article Snippet: A decision tree was created using the rpart package, and a Random Forest analysis was conducted with the RandomForest package, with graphical representations generated using R software v. 3.5.1 (RStudio, PBC, Boston, MA, USA).

    Software:

    Article Title: Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
    Article Snippet: A decision tree was created using the rpart package, a random forest was implemented using the RandomForest package analyses, and the graphical representation was performed with R software v. 3.5.1 (Integrated Development for R. RStudio, PBC, Boston, MA, USA).

    Article Title: Adherence to β-hydroxy-β-methylbutyrate-Enriched Oral Nutritional Supplements Enhances Survival and Nutritional Recovery in Malnourished Outpatients: Prognostic Insights.
    Article Snippet: A decision tree was created using the rpart package, and a Random Forest analysis was conducted with the RandomForest package, with graphical representations generated using R software v. 3.5.1 (RStudio, PBC, Boston, MA, USA).



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