Innovative multi-trial breeding and genotype screening in triticale (x Triticosecale Wittmack) for enhanced stability under drought stress by Armin Saed-Moucheshi, Sirwan Babaei, Fatemeh Ansarshourijeh

“…Accordingly, the objectives of this study are as follow, a: compare different stability measurement methods regarding their suitability, b: identify most stable genotypes for cultivar release, and c: provide a freely available package in R programming language (named ‘Stbidx’) capable of exploiting all stability methods for similar studies. …”
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Association between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people: a cross-sectional study by Fengde Li, Fangfang Ma, Shangyu Liu, Le Wang, Lishuang Ji, Mingqi Zheng, Gang Liu

“…The collected data, including self-reported screen time spent watching short videos at bedtime and general information, were partitioned into a training set and a test set, with the former being divided into hypertensive and non-hypertensive groups. R programming language was used for statistical analysis and processing. …”
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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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Adiposity and body fat distribution based on skinfold thicknesses and body circumferences in Czech preschool children, secular changes by Anna Vážná, Jan M. Novák, Robert Daniš, Petr Sedlak

“…Statistical evaluation was conducted in the R programming language, using Welch’s test, Cohen’s d and the Bland–Altman method. …”
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Predictive value of qSOFA and hypothermia combined with PT for prognosis in patients with severe trauma: a single-center retrospective cohort study by Limei Ma, Chen Yang, Cen Chen, Yan Wu, Rong Tang, Xiaolong Cheng, Haifei Wu, Jianjun Zhu, Bing Ji

“…Receiver operating characteristic (ROC) curves generated by 10-fold cross-validation using the caret in R programming language were used to assess the predictive efficacy of Injury Severity Score (ISS) and qSOFA + H + PT score for trauma patient mortality. …”
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The DairyPrint model: A decision support model to help dairy farmers and other stakeholders toward improved sustainability by Tadeu E. da Silva, Victor E. Cabrera

“…The DairyPrint model was developed using the Shiny framework and the Golem package for robust production-grade Shiny applications in the R programming language. We evaluated the model across 32 simulation scenarios by combining various factors and considering a standard freestall system with 1,000 dairy cows averaging 40 kg/d of milk production. …”
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Uridine-cytidine kinase 2 is correlated with immune, DNA damage repair and promotion of cancer stemness in pan-cancer by Jinlong Tian, Yanlei Li, Yu Tong, Yuan Zhang, Tingxiao Zhao, Yao Kang, Qing Bi

“…This study aims to shed light on the role and possible mechanism of UCK2 in pan-cancer.MethodsWe used the R programming language for pan-cancer bulk sequencing data analysis, which were obtained from the University of California, Santa Cruz (UCSC) datasets. …”
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Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis by Basheer Abdullah Marzoog, Peter Chomakhidze, Daria Gognieva, Nina Vladimirovna Gagarina, Artemiy Silantyev, Alexander Suvorov, Ekaterina Fominykha, Malika Mustafina, Ershova Natalya, Aida Gadzhiakhmedova, Philipp Kopylov

“…Statistical processing performed with R programming language v4.2 and Python v.3.10 [^R], STATISTICA program v.12, and IBM SPSS v.28. …”
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Determining the Factors and Evolutionary Trends of Customer Engagement in Businesses: A Bibliometric Analysis by Reza Abbasi Mobarakabadi, Amir khanlari, Nader Seyyedamiri

“…All analyses were conducted using R programming languages. The algorithms employed included thematic analysis, correspondence analysis, clustering algorithms, and co-occurrence analysis of words.     …”
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