@software{allaire,
  title = {Quarto},
  author = {Allaire, J. J. and Teague, Charles and Xie, Yihui and Dervieux, Christophe},
  doi = {10.5281/ZENODO.5960048},
  abstract = {Quarto is an open-source scientific and technical publishing system built on Pandoc.},
  organization = {Zenodo},
  keywords = {computer science,dynamic documents,exact sciences,pandoc,r (programming language)}
}

@article{carvalho2021a,
  title = {Measuring sustainable food systems in {{Brazil}}: a framework and multidimensional index to evaluate socioeconomic, nutritional, and environmental aspects},
  shorttitle = {Measuring sustainable food systems in {{Brazil}}},
  author = {family=Carvalho, given=Aline Martins, prefix=de, useprefix=false and Verly Jr, Eliseu and Marchioni, Dirce Maria and Jones, Andrew D.},
  date = {2021-07-01},
  journaltitle = {World Development},
  shortjournal = {World Development},
  volume = {143},
  pages = {105470},
  issn = {0305-750X},
  doi = {10.1016/j.worlddev.2021.105470},
  abstract = {The sustainability of food systems is commonly measured at the global or national level using multidimensional indices. However, it is not possible to use such indices at subnational levels, because the data for many indicators are not available and large countries such as Brazil have completely different food systems depending on the state or region considered. This paper presents a sustainable food systems framework for Brazil and the Brazilian Multidimensional Index for Sustainable Food Systems (MISFS), which is the first index of its kind that considers local behaviors and actions to rank states and regions of the country. The dimensions and indicators included in the index were identified from a literature review and an exclusion criteria, which considered the Brazilian context, that ended up with 17 indicators divided in three dimensions (environmental, socioeconomic, and nutritional). We followed well-known procedures to create an interpretable multidimensional index, which include normalization, weighting, aggregating, and sensitivity analysis. The performance of the states was starkly different, regarding the indicators and dimensions considered. No state presented a high score for all three dimensions, and even states with a high MISFS score had room to improve in one or two dimensions. In general, high-income states scored well on socioeconomic indicators (e.g., agriculture education), but poorly on most environmental indicators (e.g., water footprint), and some nutritional indicators (e.g., obesity rate). This index is the first initiative to measure the Brazilian food systems according to local practices and behaviors at state level and it is a starting point to help policymakers understand the opportunities of improvement of their food systems. This study may also help other countries to develop their own frameworks and strategies to improve their regionalized food systems.},
  keywords = {brazil,environmental sciences,exact sciences,health sciences,índice,misfs,nutrition}
}

@book{cohen1988a,
  title = {Statistical power analysis for the behavioral sciences},
  author = {Cohen, Jacob},
  date = {1988},
  edition = {2},
  publisher = {Lawrence Erlbaum Associates},
  location = {Hillsdale, NJ},
  abstract = {Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: - A chapter covering power analysis in set correlation and multivariate methods; - A chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; - Expanded power and sample size tables for multiple regression/correlation.},
  isbn = {978-0-8058-0283-2},
  langid = {english},
  pagetotal = {567},
  keywords = {effect size,exact sciences,power analysis,probability and statistics,sampling,textbooks}
}

@book{howell2013,
  title = {Statistical methods for psychology},
  author = {Howell, David C.},
  date = {2013},
  edition = {8},
  publisher = {Wadsworth Cengage Learning},
  location = {Belmont, CA},
  abstract = {Statistical Methods For Psychology surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.},
  isbn = {978-1-111-83548-4},
  pagetotal = {770},
  keywords = {exact sciences,fundamentals of probability and statistics,probability and statistics,psychology,psychometrics,statistical methods,t-test,textbooks}
}

@article{lavigne-robichaud2018,
  title = {Diet quality indices in relation to metabolic syndrome in an {{Indigenous Cree}} ({{Eeyouch}}) population in northern {{Québec}}, {{Canada}}},
  author = {Lavigne-Robichaud, Mathilde and Moubarac, Jean-Claude and Lantagne-Lopez, Stéfanie and Johnson-Down, Louise and Batal, Malek and Sidi, Elhadji A. Laouan and Lucas, Michel},
  date = {2018-01},
  journaltitle = {Public Health Nutrition},
  volume = {21},
  number = {1},
  pages = {172--180},
  issn = {1368-9800, 1475-2727},
  doi = {10.1017/S136898001700115X},
  abstract = {Objective To assess associations between three diet quality indices and metabolic syndrome (MetS) in the Cree (Eeyouch) of northern Québec, Canada, as well as to evaluate their pertinence in this Indigenous context. Design The alternative-Healthy Eating Index 2010 (aHEI-2010), the Food Quality Score (FQS) and the contribution of ultra-processed products (UPP) to total daily dietary energy intake using the NOVA classification were calculated from 24 h food recalls. MetS was determined with the latest harmonized definition. Logistic regressions assessed the relationship between quintiles of dietary quality scores with MetS and its components. Setting Study sample from the 2005–2009 cross-sectional Nituuchischaayihititaau Aschii Environment-and-Health Study. Subjects Eeyouch (n 811) from seven James Bay communities (≥18 years old). Results MetS prevalence was 56·6 \% with 95·4 \% abdominal adiposity, 50·1 \% elevated fasting plasma glucose, 43·4 \% hypertension, 38·6 \% elevated TAG and 44·5 \% reduced HDL cholesterol. Comparing highest and lowest quintiles of scores, adjusted OR (95 \% CI) of MetS was 0·70 (0·39, 1·08; P-trend=0·05) for aHEI-2010, 1·06 (0·63, 1·76; P-trend=0·87) for FQS and 1·90 (1·14, 3·17; P-trend=0·04) for the contribution of UPP to total daily dietary energy intake. Conclusions Although diet quality indices have been associated with cardiometabolic risk, only the dietary intake of UPP was significantly associated with MetS in the Eeyouch. Indices tailored to the food environment of northern communities are essential to further understand the impact of diet quality in this context.},
  langid = {english},
  keywords = {aboriginal health,diet quality,health sciences,metabolic syndrome,nutrition,ultra-processed foods,ultra-processed products}
}

@article{louzada2015,
  title = {Consumption of ultra-processed foods and obesity in {{Brazilian}} adolescents and adults},
  author = {Louzada, Maria Laura da Costa and Baraldi, Larissa Galastri and Steele, Euridice Martinez and Martins, Ana Paula Bortoletto and Canella, Daniela Silva and Moubarac, Jean-Claude and Levy, Renata Bertazzi and Cannon, Geoffrey and Afshin, Ashkan and Imamura, Fumiaki and Mozaffarian, Dariush and Monteiro, Carlos Augusto},
  date = {2015-12-01},
  journaltitle = {Preventive Medicine},
  shortjournal = {Preventive Medicine},
  volume = {81},
  pages = {9--15},
  issn = {0091-7435},
  doi = {10.1016/j.ypmed.2015.07.018},
  abstract = {Objectives The aim of this study was to evaluate the relationship between the consumption of ultra-processed foods and obesity indicators among Brazilian adults and adolescents. Methods We used cross-sectional data on 30,243 individuals aged ≥10years from the 2008–2009 Brazilian Dietary Survey. Food consumption data were collected through 24-h food records. We classified food items according to characteristics of food processing. Ultra-processed foods were defined as formulations made by the food industry mostly from substances extracted from foods or obtained with the further processing of constituents of foods or through chemical synthesis, with little if any whole food. Examples included candies, cookies, sugar-sweetened beverages, and ready-to-eat dishes. Regression models were fitted to evaluate the association of the consumption of ultra-processed foods (\% of energy intake) with body-mass-index, excess weight, and obesity status, controlling for socio-demographic characteristics, smoking, and physical activity. Results Ultra-processed foods represented 30\% of the total energy intake. Those in the highest quintile of consumption of ultra-processed foods had significantly higher body-mass-index (0.94kg/m2; 95\% CI: 0.42,1.47) and higher odds of being obese (OR=1.98; 95\% CI: 1.26,3.12) and excess weight (OR=1.26; 95\% CI: 0.95,1.69) compared with those in the lowest quintile of consumption. Conclusion Our findings support the role of ultra-processed foods in the obesity epidemic in Brazil.},
  langid = {english},
  keywords = {food,health sciences,nutrition,obesity,prevention,risk factor,ultra-processed foods}
}

@article{mendonca2017,
  title = {Ultra-processed food consumption and the incidence of hypertension in a mediterranean cohort: {{The}} seguimiento universidad de navarra project},
  shorttitle = {Ultra-processed food consumption and the incidence of hypertension in a mediterranean cohort},
  author = {Mendonça, Raquel de Deus and Lopes, Aline Cristine Souza and Pimenta, Adriano Marçal and Gea, Alfredo and Martinez-Gonzalez, Miguel Angel and Bes-Rastrollo, Maira},
  date = {2017-04-01},
  journaltitle = {American Journal of Hypertension},
  shortjournal = {Am J Hypertens},
  volume = {30},
  number = {4},
  pages = {358--366},
  issn = {0895-7061},
  doi = {10.1093/ajh/hpw137},
  abstract = {Some available evidence suggests that high consumption of ultra-processed foods (UPFs) is associated with a higher risk of obesity. Collectively, this association and the nutritional characteristics of UPFs suggest that UPFs might also be associated with hypertension.We prospectively evaluated the relationship between UPF consumption and the risk of hypertension in a prospective Spanish cohort, the Seguimiento Universidad de Navarra project. We included 14,790 Spanish adult university graduates who were initially free of hypertension at baseline who were followed for a mean of 9.1 years (SD, 3.9 years; total person-years: 134,784). UPF (industrial formulations of chemical compounds which, beyond substances of common culinary use such as salt, sugar, oils, and fats, include substances also derived from foods but not used in culinary preparations) consumption was assessed using a validated semi-quantitative 136-item food-frequency questionnaire. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) and 95\% confidence intervals (CIs) for hypertension incidence.During follow-up, 1,702 incident cases of hypertension were identified. Participants in the highest tertile of UPF consumption had a higher risk of developing hypertension (adjusted HR, 1.21; 95\% CI, 1.06, 1.37; P for trend = 0.004) than those in the lowest tertile after adjusting for potential confounders.In this large prospective cohort of Spanish middle-aged adult university graduates, a positive association between UPF consumption and hypertension risk was observed. Additional longitudinal studies are needed to confirm our results.},
  langid = {english},
  keywords = {health sciences,hypertensive disorders,nutrition,ultra-processed foods}
}

@article{monteiro2018,
  title = {The {{UN Decade}} of {{Nutrition}}, the {{NOVA}} food classification and the trouble with ultra-processing},
  author = {Monteiro, Carlos Augusto and Cannon, Geoffrey and Moubarac, Jean-Claude and Levy, Renata Bertazzi and Louzada, Maria Laura C. and Jaime, Patrícia Constante},
  date = {2018-01},
  journaltitle = {Public Health Nutrition},
  volume = {21},
  number = {1},
  pages = {5--17},
  issn = {1368-9800, 1475-2727},
  doi = {10.1017/S1368980017000234},
  abstract = {Given evident multiple threats to food systems and supplies, food security, human health and welfare, the living and physical world and the biosphere, the years 2016–2025 are now designated by the UN as the Decade of Nutrition, in support of the UN Sustainable Development Goals. For these initiatives to succeed, it is necessary to know which foods contribute to health and well-being, and which are unhealthy. The present commentary outlines the NOVA system of food classification based on the nature, extent and purpose of food processing. Evidence that NOVA effectively addresses the quality of diets and their impact on all forms of malnutrition, and also the sustainability of food systems, has now accumulated in a number of countries, as shown here. A singular feature of NOVA is its identification of ultra-processed food and drink products. These are not modified foods, but formulations mostly of cheap industrial sources of dietary energy and nutrients plus additives, using a series of processes (hence ‘ultra-processed’). All together, they are energy-dense, high in unhealthy types of fat, refined starches, free sugars and salt, and poor sources of protein, dietary fibre and micronutrients. Ultra-processed products are made to be hyper-palatable and attractive, with long shelf-life, and able to be consumed anywhere, any time. Their formulation, presentation and marketing often promote overconsumption. Studies based on NOVA show that ultra-processed products now dominate the food supplies of various high-income countries and are increasingly pervasive in lower-middle- and upper-middle-income countries. The evidence so far shows that displacement of minimally processed foods and freshly prepared dishes and meals by ultra-processed products is associated with unhealthy dietary nutrient profiles and several diet-related non-communicable diseases. Ultra-processed products are also troublesome from social, cultural, economic, political and environmental points of view. We conclude that the ever-increasing production and consumption of these products is a world crisis, to be confronted, checked and reversed as part of the work of the UN Sustainable Development Goals and its Decade of Nutrition.},
  langid = {english},
  keywords = {anthropocene,decade of nutrition,food processing,health sciences,nova,nutrition,sustainable development goals,ultra-processed foods}
}

@article{monteiro2019,
  title = {Ultra-processed foods: {{What}} they are and how to identify them},
  shorttitle = {Ultra-processed foods},
  author = {Monteiro, Carlos A. and Cannon, Geoffrey and Levy, Renata B. and Moubarac, Jean-Claude and Louzada, Maria LC and Rauber, Fernanda and Khandpur, Neha and Cediel, Gustavo and Neri, Daniela and Martinez-Steele, Euridice and Baraldi, Larissa G. and Jaime, Patricia C.},
  date = {2019-04},
  journaltitle = {Public Health Nutrition},
  volume = {22},
  number = {5},
  pages = {936--941},
  issn = {1368-9800, 1475-2727},
  doi = {10.1017/S1368980018003762},
  abstract = {The present commentary contains a clear and simple guide designed to identify ultra-processed foods. It responds to the growing interest in ultra-processed foods among policy makers, academic researchers, health professionals, journalists and consumers concerned to devise policies, investigate dietary patterns, advise people, prepare media coverage, and when buying food and checking labels in shops or at home. Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing. Processes enabling the manufacture of ultra-processed foods include the fractioning of whole foods into substances, chemical modifications of these substances, assembly of unmodified and modified food substances, frequent use of cosmetic additives and sophisticated packaging. Processes and ingredients used to manufacture ultra-processed foods are designed to create highly profitable (low-cost ingredients, long shelf-life, emphatic branding), convenient (ready-to-consume), hyper-palatable products liable to displace all other NOVA food groups, notably unprocessed or minimally processed foods. A practical way to identify an ultra-processed product is to check to see if its list of ingredients contains at least one item characteristic of the NOVA ultra-processed food group, which is to say, either food substances never or rarely used in kitchens (such as high-fructose corn syrup, hydrogenated or interesterified oils, and hydrolysed proteins), or classes of additives designed to make the final product palatable or more appealing (such as flavours, flavour enhancers, colours, emulsifiers, emulsifying salts, sweeteners, thickeners, and anti-foaming, bulking, carbonating, foaming, gelling and glazing agents).},
  langid = {english},
  keywords = {food classification,food processing,health sciences,nova,nutrition,ultra-processed food}
}

@article{neyman1928,
  title = {On the use and interpretation of certain test criteria for purposes of statistical inference: {{Part I}}},
  shorttitle = {On the use and interpretation of certain test criteria for purposes of statistical inference},
  author = {Neyman, J. and Pearson, E. S.},
  date = {1928},
  journaltitle = {Biometrika},
  volume = {20A},
  number = {1/2},
  eprint = {2331945},
  eprinttype = {jstor},
  pages = {175--240},
  publisher = {[Oxford University Press, Biometrika Trust]},
  issn = {0006-3444},
  doi = {10.2307/2331945},
  langid = {english},
  keywords = {exact sciences,extraordinary publications,hypothesis tests,hypothetico–deductive method,probability and statistics,statistical inference}
}

@article{neyman1928a,
  title = {On the use and interpretation of certain test criteria for purposes of statistical inference: {{Part II}}},
  shorttitle = {On the use and interpretation of certain test criteria for purposes of statistical inference},
  author = {Neyman, J. and Pearson, E. S.},
  date = {1928},
  journaltitle = {Biometrika},
  volume = {20A},
  number = {3/4},
  eprint = {2332112},
  eprinttype = {jstor},
  pages = {263--294},
  publisher = {[Oxford University Press, Biometrika Trust]},
  issn = {0006-3444},
  doi = {10.2307/2332112},
  langid = {english},
  keywords = {exact sciences,extraordinary publications,hypothesis tests,hypothetico–deductive method,probability and statistics,statistical inference}
}

@article{norde2023,
  title = {Measuring food systems sustainability in heterogenous countries: {{The Brazilian}} multidimensional index updated version applicability},
  shorttitle = {Measuring food systems sustainability in heterogenous countries},
  author = {Norde, Marina Maintinguer and Porciuncula, Laura and Garrido, Giovanna and Nunes-Galbes, Nadine Marques and Sarti, Flavia Mori and Marchioni, Dirce Maria Lobo and family=Carvalho, given=Aline Martins, prefix=de, useprefix=true},
  date = {2023},
  journaltitle = {Sustainable Development},
  volume = {31},
  number = {1},
  pages = {91--107},
  issn = {1099-1719},
  doi = {10.1002/sd.2376},
  abstract = {Countries with large territories marked by heterogeneity lack tools to monitor their distinct food systems sustainability. The multidimensional index for sustainable food systems (MISFS) was designed to measure food system sustainability locally, using the Brazilian territory. The aim was two-fold: to present the MISFS updating process (MISFS-R), and to show the applicability of MISFS-R to uncover local geopolitical priorities. Methods: Based on a systematized review and sensitivity analysis, 46 indicators were selected to compose the MISFS-R social, nutritional, environmental, and economic dimensions. Official Brazilian datasets allowed the MISFS-R scoring for 26 Brazilian states and capitals. Correlations between MISFS-R dimensions were analyzed by Spearman's coefficient. A cluster analysis was used to check for Brazilian states similarities and priorities. Findings: Economic and environmental performance were inversely related, while economic performance was directly related to social and nutritional scores. Four clusters were formed with marked differences in their food systems sustainability profile.},
  langid = {english},
  keywords = {brazil,economic,environmental,food systems,health sciences,misfs,nutrition,nutritional,social,sustainability}
}

@article{perezgonzalez2015,
  title = {Fisher, {{Neyman-Pearson}} or {{NHST}}? {{A}} tutorial for teaching data testing},
  shorttitle = {Fisher, {{Neyman-Pearson}} or {{NHST}}?},
  author = {Perezgonzalez, Jose D.},
  date = {2015-03-02},
  journaltitle = {Frontiers in Psychology},
  shortjournal = {Front. Psychol.},
  volume = {6},
  publisher = {Frontiers},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2015.00223},
  abstract = {Despite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research. Little change seems possible once the procedure becomes well ingrained in the minds and current practice of researchers; thus, the optimal opportunity for such change is at the time the procedure is taught, be this at undergraduate or at postgraduate levels. This paper presents a tutorial for the teaching of data testing procedures, often referred to as hypothesis testing theories. The first procedure introduced is Fisher's approach to data testing—tests of significance; the second is Neyman-Pearson's approach—tests of acceptance; the final procedure is the incongruent combination of the previous two theories into the current approach—NSHT. For those researchers sticking with the latter, two compromise solutions on how to improve NHST conclude the tutorial.},
  langid = {english},
  keywords = {exact sciences,fisher,history,hypothesis tests,hypothetico–deductive method,neyman-pearson,null hypothesis significance testing,science,statistical education,teaching statistics,test of significance,test of statistical hypothesis}
}

@book{popper1979a,
  title = {Objective knowledge: {{An}} evolutionary approach},
  shorttitle = {Objective knowledge},
  author = {Popper, Karl Raimund},
  date = {1979},
  origdate = {1972},
  publisher = {Oxford University Press},
  location = {Oxford, UK},
  isbn = {0-19-875024-2},
  langid = {english},
  pagetotal = {395},
  keywords = {epistemology,ontology,philosophy,science,scientific methodology}
}

@software{rcoreteam,
  title = {R: {{A}} language and environment for statistical computing},
  author = {{R Core Team}},
  location = {Vienna, Austria},
  url = {https://www.r-project.org},
  organization = {R Foundation for Statistical Computing},
  keywords = {computer science,exact sciences,nosource,probability and statistics,programming languages,r (programming language)}
}

@dataset{sisvana,
  title = {Consumo de alimentos ultraprocessados 2015-2022},
  author = {{Sistema de Vigilância Alimentar e Nutricional} and {Ministério da Saúde}},
  url = {https://sisaps.saude.gov.br/sisvan/relatoriopublico},
  abstract = {Relatórios de acesso público. Arquivos Consolidados dos acompanhamentos registrados no consumo alimentar por município.},
  langid = {brazilian},
  keywords = {brazil,citizen science,exact sciences,nosource,nutrition,nutritional status,open data,open science,probability and statistics,sisvan},
  note = {Consumption of ultra-processed foods 2015-2022}
}

@article{student1908,
  title = {The probable error of a mean},
  author = {{Student}},
  date = {1908},
  journaltitle = {Biometrika},
  volume = {6},
  number = {1},
  eprint = {2331554},
  eprinttype = {jstor},
  publisher = {[Oxford University Press, Biometrika Trust]},
  issn = {0006-3444},
  doi = {10.2307/2331554},
  langid = {english},
  keywords = {classical publications,exact sciences,probability and statistics,t-test}
}

@software{ushey2025,
  title = {{{renv}}: {{Project}} environments},
  shorttitle = {{{renv}}},
  author = {Ushey, Kevin and Wickham, Hadley},
  date = {2025},
  doi = {10.32614/CRAN.package.renv},
  abstract = {A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.},
  keywords = {computer science,exact sciences,programming,r (programming language),r packages}
}

@online{wickham2023c,
  title = {The tidy tools manifesto},
  author = {Wickham, Hadley},
  date = {2023},
  url = {https://tidyverse.tidyverse.org/articles/manifesto.html},
  urldate = {2023-07-18},
  abstract = {tidyverse},
  langid = {english},
  organization = {Tidyverse},
  keywords = {data engineering,data science,engineering,guia de estilo,nosource,programming,r (programming language),software engineering}
}

@book{wickham2023e,
  title = {R for data science: {{Import}}, tidy, transform, visualize, and model data},
  shorttitle = {R for data science},
  author = {Wickham, Hadley and Çetinkaya-Rundel, Mine and Grolemund, Garrett},
  date = {2023},
  edition = {2},
  publisher = {O'Reilly Media},
  location = {Sebastopol, CA},
  url = {https://r4ds.hadley.nz},
  abstract = {Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.},
  isbn = {978-1-4920-9740-2},
  langid = {american},
  pagetotal = {576},
  keywords = {data engineering,data science,exact sciences,probability and statistics,programming,r (programming language)}
}

@book{wickhama,
  title = {The tidyverse style guide},
  author = {Wickham, Hadley},
  url = {https://style.tidyverse.org},
  langid = {english},
  keywords = {computer science,exact sciences,guia de estilo,nosource,r (programming language),standards}
}

@book{wickhamc,
  title = {Tidy design principles},
  author = {Wickham, Hadley},
  url = {https://design.tidyverse.org},
  langid = {english},
  keywords = {computer science,exact sciences,guia de estilo,nosource,r (programming language),standards}
}