LEADER 01514nam 2200349Ia 450 001 996385250103316 005 20200824132228.0 035 $a(CKB)4940000000074149 035 $a(EEBO)2240891123 035 $a(OCoLC)ocm11914916e 035 $a(OCoLC)11914916 035 $a(EXLCZ)994940000000074149 100 $a19850413d1689 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe visions of Pasquin, or, A character of the Roman court, religion and practices$b[electronic resource] $etogether with an account of the arts of the Pope's nephews to get money, the tricks of the priests to fill the churches coffers by masses for the dead, the policy of the Jesuites to cully princes, and cheat Christendom, as also an exact description of purgatory and hell, in a dialogue between Pasquin and Marsorio, translated out of Italian 210 $aLondon $cPrinted, and are to be sold by Richard Baldwin ...$d1689 215 $a[6], 64 p 300 $aReproduction of original in Huntington Library. 300 $aAttributed to Curione, Celio Secondo. cf. NUC pre-1956. 330 $aeebo-0113 606 $aAnti-Catholicism$vEarly works to 1800 615 0$aAnti-Catholicism 700 $aCurione$b Celio Secondo$f1503-1569.$0480714 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996385250103316 996 $aThe visions of Pasquin, or, A character of the Roman court, religion and practices$92320959 997 $aUNISA LEADER 01892nam 2200469 450 001 9910703639903321 005 20150401140008.0 035 $a(CKB)5470000002433313 035 $a(OCoLC)905977295 035 $a(EXLCZ)995470000002433313 100 $a20150401d2014 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNuclear safety$earrangement between the United States of America and Brazil, signed at Rio de Janeiro and Rockville, August 1 and 28, 2014 210 1$a[Washington, D.C.] :$cUnited States Department of State,$d[2014?] 215 $a1 online resource (18 unnumbered pages) 225 1 $aTreaties and other international acts series ;$v14-828 300 $aTitle from title screen (viewed on April 1, 2015). 517 3 $aArrangement between the United States of America and Brazil, signed at Rio de Janeiro and Rockville, August 1 and 28, 2014 606 $aNuclear facilities$zUnited States$xSafety measures 606 $aNuclear facilities$zBrazil$xSafety measures 606 $aCommunication of technical information$zUnited States 606 $aCommunication of technical information$zBrazil 606 $aNuclear facilities$xSafety measures$xInternational cooperation 608 $aTreaties.$2lcgft 615 0$aNuclear facilities$xSafety measures. 615 0$aNuclear facilities$xSafety measures. 615 0$aCommunication of technical information 615 0$aCommunication of technical information 615 0$aNuclear facilities$xSafety measures$xInternational cooperation. 712 02$aUnited States.$bDepartment of State, 712 02$aBrazil, 712 02$aUnited States, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910703639903321 996 $aNuclear safety$92319825 997 $aUNINA LEADER 06778nam 2200793 a 450 001 9911019130503321 005 20200520144314.0 010 $a9786613203830 010 $a9781283203838 010 $a1283203839 010 $a9781118063675 010 $a1118063678 010 $a9781118063682 010 $a1118063686 010 $a9781118063668 010 $a111806366X 035 $a(CKB)2550000000041134 035 $a(EBL)708887 035 $a(SSID)ssj0000521602 035 $a(PQKBManifestationID)11366808 035 $a(PQKBTitleCode)TC0000521602 035 $a(PQKBWorkID)10523249 035 $a(PQKB)11200886 035 $a(MiAaPQ)EBC708887 035 $a(OCoLC)746324262 035 $a(Perlego)1013312 035 $a(EXLCZ)992550000000041134 100 $a20101230d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComparing groups $erandomization and bootstrap methods using R /$fAndrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long 210 $aHoboken, N.J. $cWiley$dc2011 215 $a1 online resource (332 p.) 300 $aDescription based upon print version of record. 311 08$a9780470621691 311 08$a0470621699 320 $aIncludes bibliographical references (p. 287-298). 327 $aComparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations 327 $a1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R 327 $a2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings 327 $a3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters 327 $a4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots 327 $a5.2 Numerically Summarizing the Data 330 $a"This book, written by three behavioral scientists for other behavioral scientists, addresses common issues in statistical analysis for the behavioral and educational sciences. Modern Statistical & Computing Methods for the Behavioral and Educational Sciences using R emphasizes the direct link between scientific research questions and data analysis. Purposeful attention is paid to the integration of design, statistical methodology, and computation to propose answers to specific research questions. Furthermore, practical suggestions for the analysis and presentation of results, in prose, tables and/or figures, are included. Optional sections for each chapter include methodological extensions for readers desiring additional technical details. Rather than focus on mathematical calculations like so many other introductory texts in the behavioral sciences, the authors focus on conceptual explanations and the use of statistical computing. Statistical computing is an integral part of statistical work, and to support student learning in this area, examples using the R computer program are provided throughout the book. Rather than relegate examples to the end of chapters, the authors interweave computer examples with the narrative of the book. Topical coverage includes an introduction to R, data exploration of one variable, data exploration of multivariate data - comparing two groups and many groups, permutation and randomization tests, the independent samples t-Test, the Bootstrap test, interval estimates and effect sizes, power, and dependent samples"--$cProvided by publisher. 606 $aBootstrap (Statistics) 606 $aRandom data (Statistics) 606 $aPsychology$xData processing 606 $aR (Computer program language) 606 $aDistribution (Probability theory) 615 0$aBootstrap (Statistics) 615 0$aRandom data (Statistics) 615 0$aPsychology$xData processing. 615 0$aR (Computer program language) 615 0$aDistribution (Probability theory) 676 $a519.5/4 686 $aSOC027000$2bisacsh 700 $aZieffler$b Andrew$f1974-$0517472 701 $aHarring$b Jeffrey$f1964-$01841963 701 $aLong$b Jeffrey D.$f1964-$0517474 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019130503321 996 $aComparing groups$94421885 997 $aUNINA