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Karl R Popper Und Die Philosophie Des Kritischen Rationalismus

Author : Kurt Salamun
ISBN : 905183036X
Genre : Philosophy
File Size : 21. 84 MB
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Der Froschm Usler Komisch Didactisches Gedicht Neu Herausgegeben Von R Benedix Mit Steinzeichnungen Etc

Author : Georg ROLLENHAGEN
ISBN : BL:A0018922726
Genre :
File Size : 68. 44 MB
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The R Book

Author : Michael J. Crawley
ISBN : 0470515066
Genre : Mathematics
File Size : 35. 72 MB
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The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines. Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities. Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

Data Manipulation With R

Author : Phil Spector
ISBN : 9780387747309
Genre : Computers
File Size : 42. 21 MB
Format : PDF, Kindle
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This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are provided throughout the book.

Bayesian Computation With R

Author : Jim Albert
ISBN : 9780387922980
Genre : Mathematics
File Size : 36. 59 MB
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There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books,andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute the range of integrals that are necessary in a Bayesian posterior analysis. Due to the speed of modern c- puters, it is now possible to use the Bayesian paradigm to ?t very complex models that cannot be ?t by alternative frequentist methods. To ?t Bayesian models, one needs a statistical computing environment. This environment should be such that one can: write short scripts to de?ne a Bayesian model use or write functions to summarize a posterior distribution use functions to simulate from the posterior distribution construct graphs to illustrate the posterior inference An environment that meets these requirements is the R system. R provides a wide range of functions for data manipulation, calculation, and graphical d- plays. Moreover, it includes a well-developed, simple programming language that users can extend by adding new functions. Many such extensions of the language in the form of packages are easily downloadable from the Comp- hensive R Archive Network (CRAN).

Seelenspiegel Fu R Junge Damen Aus Den Ho Hern Sta Nden

Author : Philippine Auguste Amalie Von Knigge Reden
ISBN : UIUC:30112038221096
Genre : German literature
File Size : 89. 45 MB
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Mixed Effects Models And Extensions In Ecology With R

Author : Alain Zuur
ISBN : 0387874585
Genre : Science
File Size : 49. 74 MB
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This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

R Nyerup S Vollst Ndige Beschreibung Der Stadt Kopenhagen Neue Ausgabe Von E F Fischer Mit Plan Und Kupfer

Author : Rasmus NYERUP
ISBN : BL:A0019291861
Genre :
File Size : 25. 16 MB
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Introductory Time Series With R

Author : Paul S.P. Cowpertwait
ISBN : 9780387886985
Genre : Mathematics
File Size : 88. 94 MB
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This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.

Wavelet Methods In Statistics With R

Author : Guy Nason
ISBN : 9780387759616
Genre : Mathematics
File Size : 36. 53 MB
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This book contains information on how to tackle many important problems using a multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations.

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