01210cam0-22003971i-450-99000467434040332120080508095529.0000467434FED01000467434(Aleph)000467434FED0100046743419990604d1970----km-y0itay50------bagrcgerDEy-------001yyAnekdotaProkoped. Otto Veh2.a ed.MünchenHeimeran1970327 p.18 cmTusculum-BüchereiTesto orig. a fronteHistoria arcana<in greco e in tedesco>20961Letteratura grecaProcopioHistoria arcana880.01Procopius Caesariensis<490-575>293068Veh,OttoITUNINARICAUNIMARCBK990004674340403321P2B-600-TUSCULUM-PROCOP2-406A-1970Bibl.50464FLFBCP2B-600-TUSCULUM-PROCOP2-406A-1970 BISIst.Fil.Cl.790FLFBCDDR-Fonti II- Proc.Caes. Ed.1.1(9)(al.es.1)285 ddrDDR21-8675FLFBCDDRHistoria arcana20961UNINA10433nam 2200577 450 99646654750331620220627155216.03-030-62404-810.1007/978-3-030-62404-0(CKB)4100000011781644(DE-He213)978-3-030-62404-0(MiAaPQ)EBC6511448(Au-PeEL)EBL6511448(OCoLC)1244620971(PPN)254725260(EXLCZ)99410000001178164420211008d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierUsing R for biostatistics /Thomas W. MacFarland, Jan M. Yates1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (XXXV, 902 p. 300 illus., 265 illus. in color.)3-030-62403-X 1 Introduction: Biostatistics and R -- 1.1 Purpose of this Text -- 1.2 Development of Biostatistics -- 1.3 Development of R -- 1.4 How R is Used in this Text -- 1.5 Import Data into R -- 1.6 Addendum1: Efficient Programming with R, Project Workflow, and Good Programming Practices (gpp) -- 1.7 Addendum2: Preview of Descriptive Statistics and Graphics Using R -- 1.8 Addendum3: R and Beautiful Graphics -- 1.9 Addendum4: Research Designs Used in Biostatistics -- 1.10 Prepare to Exit, Save, and Later Retrieve this R Session -- 1.11 External Data and/or Data Resources Used in this Lesson -- 2 Data Exploration, Descriptive Statistics, and Measures of Central Tendency -- 2.1 Background -- 2.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 2.3 Organize the Data and Display the Code Book -- 2.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 2.5 Descriptive Statistics for Initial Analysis of the Data -- 2.6 Quality Assurance, Data Distribution, and Tests for Normality -- 2.7 Statistical Test(s) -- 2.8 Summary -- 2.9 Addendum1: Specialized External Packages and Functions -- 2.10 Addendum2: Parametric v Nonparametric -- 2.11 Addendum3: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 2.12 Prepare to Exit, Save, and Later Retrieve this R Session -- 2.13 External Data and/or Data Resources Used in this Lesson -- 3 Student's t-Test for Independent Samples -- 3.1 Background -- 3.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 3.3 Organize the Data and Display the Code Book -- 3.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 3.5 Descriptive Statistics for Initial Analysis of the Data -- 3.6 Quality Assurance, Data Distribution, and Tests for Normality -- 3.7 Statistical Test(s) -- 3.8 Summary of Outcomes -- 3.9 Addendum1: t-Statistic v z-Statistic -- 3.10 Addendum2: Parametric v Nonparametric -- 3.11 Addendum3: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 3.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 3.13 External Data and/or Data Resources Used in this Lesson -- 4 Student's t-Test for Matched Pairs -- 4.1 Background -- 4.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 4.3 Organize the Data and Display the Code Book -- 4.4 Conduct a Visual Data Check Using Graphics(e.g., Figures) -- 4.5 Descriptive Statistics for Initial Analysis of the Data -- 4.6 Quality Assurance, Data Distribution, and Tests for Normality -- 4.7 Statistical Test(s) -- 4.8 Summary of Outcomes -- 4.9 Addendum1: R-Based Tools for Unstacked (e.g. Wide) Data -- 4.10 Addendum2: Stacked Data and Student's t-Test for Matched Pairs -- 4.11 Addendum 3: The Impact of N on Student's t-Test -- 4.12 Addendum 4: Parametric v Nonparametric -- 4.13 Addendum5: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 4.14 Prepare to Exit, Save, and Later Retrieve This R Session -- 4.15 External Data and/or Data Resources Used in this Lesson -- 5 Oneway Analysis of Variance (ANOVA) -- 5.1 Background -- 5.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 5.3 Organize the Data and Display the Code Book -- 5.4 Conduct a Visual Data Check Using Graphics(e.g., Figures) -- 5.5 Descriptive Statistics for Initial Analysis of the Data -- 5.6 Quality Assurance, Data Distribution, and Tests for Normality -- 5.7 Statistical Test(s) -- 5.8 Summary of Outcomes -- 5.9 Addendum1: Other Packages for Display of Oneway ANOVA -- 5.10 Addendum2: Parametric v Nonparametric -- 5.11 Addendum3: Additional Practice Data Sets -- 5.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 5.13 External Data and/or Data Resources Used in this Lesson -- 6 Twoway Analysis of Variance (ANOVA) -- 6.1 Background -- 6.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 6.3 Organize the Data and Display the Code Book -- 6.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 6.5 Descriptive Statistics for Initial Analysis of the Data -- 6.6 Quality Assurance, Data Distribution, and Tests for Normality -- 6.7 Statistical Test(s) -- 6.8 Summary of Outcomes -- 6.9 Addendum 1: Other Packages for Display of Twoway ANOVA -- 6.10 Addendum 2: Parametric v Nonparametric -- 6.11 Addendum 3: Additional Practice Data Sets -- 6.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 6.13 External Data and/or Data Resources Used in this Lesson -- 7 Correlation, Association, Regression, Likelihood, and Prediction -- 7.1 Background -- 7.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 7.3 Organize the Data and Display the Code Book -- 7.4 Quality Assurance, Data Distribution, and Tests for Normality -- 7.5 Statistical Test(s) -- 7.6 Summary of Outcomes -- 7.7 Addendum 1: Multiple Regression -- 7.8 Addendum 2: Likelihood and Odds Ratio -- 7.9 Addendum 3:Parametric v Nonparametric -- 7.10 Addendum 4: Additional Practice Data Sets -- 7.11 Prepare to Exit, Save, and Later Retrieve This R Session -- 7.12 External Data and/or Data Resources Used in this Lesson -- 8 Working with Large and Complex Datasets -- 8.1 Background -- 8.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 8.3 Organize the Data and Display the Code Book -- 8.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 8.5 Descriptive Statistics for Initial Analysis of the Data -- 8.6 Quality Assurance, Data Distribution, and Tests for Normality -- 8.7 Statistical Test(s) -- 8.8 Summary of Outcomes -- 8.9 Addendum1: Additional Graphics, to Show Relationships Between and Among Data -- 8.10 Addendum2: Graphics Using the lattice Package -- 8.11 Addendum3: Graphics Using the ggplot2 Package -- 8.12 Addendum 4: Beyond an Introduction to R - Use the tidyverse to Create Subsets of Original Datasets -- 8.13 Prepare to Exit, Save, and Later Retrieve This R Session -- 8.14 External Data and/or Data Resources Used in this Lesson -- 9 Future Actions and Next Steps -- 9.1 Use of This Text -- 9.2 R and Beautiful Reporting with R Markdown -- 9.3 Future Use of R for Biostatistics -- 9.4 Big Data and Bio Informatics -- 9.5 External Resources -- 9.6 Contact the Authors. .This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance. To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots. A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.BiometryData processingR (Computer program language)BiometriathubProcessament de dadesthubR (Llenguatge de programació)thubLlibres electrònicsthubBiometryData processing.R (Computer program language).BiometriaProcessament de dadesR (Llenguatge de programació)570.15195MacFarland Thomas W.721661Yates Jan M.MiAaPQMiAaPQMiAaPQBOOK996466547503316Using R for biostatistics1896712UNISA03820 am 2200601 n 450 9910634099203321202107262-7574-3442-X10.4000/books.septentrion.110103(CKB)4100000012898835(FrMaCLE)OB-septentrion-110103(oapen)https://directory.doabooks.org/handle/20.500.12854/95354(PPN)267246625(EXLCZ)99410000001289883520221208j|||||||| ||| 0freuu||||||m||||txtrdacontentcrdamediacrrdacarrierL’istoire de tres vaillans princez monseigneur Jehan d’Avennes /Danielle QuéruelVilleneuve d'Ascq Presses universitaires du Septentrion20211 online resource (224 p.)Bibliothèque des Seigneurs du Nord2-85939-521-0 Roman de chevalerie composé au xve siècle par un auteur anonyme, L’istoire de tres vailions princez monseigneur Jehan d’Avennes, a été lue et appréciée dans l’entourage du duc Philippe le Bon. Le manuscrit édité ici (B.N. Paris, 12572) se trouvait en effet dans la bibliothèque de ce grand seigneur en 1467. Il avait été commandé auparavant par un bibliophile du Nord, Jean de Wavrin. Un autre manuscrit (Arsenal 5208), copie sur parchemin pour Charles de Croÿ, nous a transmis ce roman. C’est cependant l’exemplaire de Jean de Wavrin que nous avons choisi de présenter ici car, plus que l’autre, il est tourné vers le Nord. Par ailleurs, copié sur papier, il est décoré de miniatures originales – dessins à la plume aquarellés – qui ne manquent pas de charme et permettent de reconnaître un artiste qui travailla souvent pour Jean de Wavrin. La source de ce roman est un charmant poème courtois du xive siècle. Le Dit du Prunier, qui raconte comment un jeune homme, oublie sa naissance noble et vit avec les paysans jusqu’au moment où, amoureux d’une dame, il devient un brillant chevalier. Au xve siècle cette histoire est mise en prose et allongée par des descriptions de combats, tournois et pas, dans le goût de l’époque. Cédant à la tentation du régionalisme, l’auteur prend également plaisir à décrire la jeunesse de son héros, évoque les veillées campagnardes et insère au cœur du récit courtois quelques détails pittoresques. Proche de la chronique, ce roman emprunte également ses péripéties à l’actualité du xve siècle, aux rêves de croisades et aux expéditions en Espagne, aux affrontements avec les Anglais, etc. La littérature d’imagination prend alors volontiers pour cadre les rêves des grands seigneurs bourguignons. L’implantation de certains épisodes dans le Nord ne fait aucun doute : le héros est originaire du Hainaut et la dame qu’il aime est comtesse d’Artois ; certaines aventures se situent en Ardenne ou dans la forêt de Mormal, le héros porte le nom d’un lignage célèbre…Literature (General)histoireprincevaillantromannouvelleroman littérairehistoireprincevaillantromannouvelleroman littéraireLiterature (General)histoireprincevaillantromannouvelleroman littéraireQuéruel Danielle387192Quéruel Danielle387192FR-FrMaCLEBOOK9910634099203321Istoire de tres vaillans princez monseigneur Jehan d'Avennes1449941UNINA