00916nam0 2200265 450 00001325220080618152439.088-150-5568-120080618d1996----km-y0itay50------baitaITy-------001yySenza scopo di lucrodimensioni economiche, legislazione e politiche del settore nonprofit in Italiaa cura di Gian Paolo BarbettaBolognaIl Mulino1996338 p.22 cmStudi e ricerche3732001Studi e ricercheEnti senza scopo di lucroItalia361.763094521Intervento sociale da parte di organizzazioni senza scopo di lucro. ItaliaBarbetta,Gian PaoloITUNIPARTHENOPE20080618RICAUNIMARC000013252636/18056NAVA2Senza scopo di lucro67296UNIPARTHENOPE04712nam 2200661 a 450 991045203110332120210719162050.01-280-68463-197866136615791-118-22616-X(CKB)2550000000103621(EBL)836575(OCoLC)794663330(SSID)ssj0000676789(PQKBManifestationID)12322620(PQKBTitleCode)TC0000676789(PQKBWorkID)10685332(PQKB)11408425(MiAaPQ)EBC836575(CaSebORM)9781118239377(Au-PeEL)EBL836575(CaPaEBR)ebr10565178(CaONFJC)MIL366157(EXLCZ)99255000000010362120120612d2012 uy 0engur|n|---|||||txtccrBeginning R the statistical programming language /Mark Gardener1st editionIndianapolis John Wiley & Sons20121 online resource (507 p.)Wrox programmer to programmerIncludes index.1-118-23937-7 1-118-16430-X Beginning R; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; p2p.wrox.com; Chapter 1: Introducing R: What It Is and How to Get It; Getting the Hang of R; Running the R Program; Finding Your Way with R; Command Packages; Summary; Chapter 2: Starting Out: Becoming Familiar with R; Some Simple Math; Reading and Getting Data into R; Viewing Named Objects; Types of Data Items; The Structure of Data Items; Examining Data Structure; Working with History Commands; Saving Your Work in RSummaryChapter 3: Starting Out: Working; Manipulating Objects; Viewing Objects within Objects; Constructing Data Objects; Forms of Data Objects: Testing and Converting; Summary; Chapter 4: Data: Descriptive Statistics and Tabulation; Summary Commands; Summarizing Samples; Summary Tables; Summary; Chapter 5: Data: Distribution; Looking at the Distribution of Data; Summary; Chapter 6: Simple Hypothesis Testing; Using the Student's t-test; The Wilcoxon U-Test (Mann-Whitney); Paired t- and U-Tests; Correlation and Covariance; Tests for Association; SummaryChapter 7: Introduction to Graphical AnalysisBox-whisker Plots; Scatter Plots; Pairs Plots (Multiple Correlation Plots); Line Charts; Pie Charts; Cleveland Dot Charts; Bar Charts; Copy Graphics to Other Applications; Summary; Chapter 8: Formula Notation and Complex Statistics; Examples of Using Formula Syntax for Basic Tests; Formula Notation in Graphics; Analysis of Variance (ANOVA); Summary; Chapter 9: Manipulating Data and Extracting Components; Creating Data for Complex Analysis; Summarizing Data; Summary; Chapter 10: Regression (Linear Modeling); Simple Linear RegressionMultiple RegressionCurvilinear Regression; Plotting Linear Models and Curve Fitting; Summarizing Regression Models; Summary; Chapter 11: More About Graphs; Adding Elements to Existing Plots; Matrix Plots (Multiple Series on One Graph); Multiple Plots in One Window; Exporting Graphs; Summary; Chapter 12: Writing Your Own Scripts: Beginning to Program; Copy and Paste Scripts; Creating Simple Functions; Making Source Code; Summary; Appendix: Answers to Exercises; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12IndexAdvertisementConquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex sR (Computer program language)StatisticsData processingElectronic books.R (Computer program language)StatisticsData processing.519.50285536Gardener Mark517232MiAaPQMiAaPQMiAaPQBOOK9910452031103321Beginning R2221864UNINA02377oam 2200481 450 991013679970332120230621135413.09782889197637 (ebook)(CKB)3710000000631125(oapen)https://directory.doabooks.org/handle/20.500.12854/47439(EXLCZ)99371000000063112520191103c2016uuuu uu |engurmn|---annantxtrdacontentcrdamediacrrdacarrierFatigue in multiple sclerosis /edited by Christian Dettmers and John DeLucaFrontiers Media SA2016Switzerland :Frontiers Media SA,20161 online resource (87 pages) illustrationsFrontiers Research TopicsIncludes bibliographical references.If you are engaged in the treatment of patients with MS (pwMS), this e-book’s aim is to offer novel insights to improve on an understanding of one of the major problems of pwMS: fatigue. Although there is increasing research into fatigue and its impact on MS, this collection of ten articles supports a better understanding of fatigue in MS patients. It explores pathophysiological concepts, provoking mechanisms, objective measurements, personality interactions, pharmacological and non-pharmacological interventions and summarizes clinical management. It is written by neurologists, psychologists, scientists and therapists and addresses this group of people, who deal with pwMS in private, clinical, rehabilitation or scientific settings. Its aim is to communicate high-quality information, knowledge and experience on MS to healthcare professionals, while providing global support for the international MS community.Multiple sclerosisMultiple Sclerosiscognitive fatiguemotor fatigueFatigueDepressionCognitionPersonalityRehabilitationgait analysisnatalizumabMultiple sclerosis.Christian Dettmersauth1366917Dettmers ChristianDeLuca JohnUkMaJRU9910136799703321Fatigue in multiple sclerosis3389441UNINA