R For Everyone

Author: Jared P. Lander
Editor: Addison-Wesley Professional
ISBN: 0133257150
Size: 18,30 MB
Format: PDF
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Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES • Exploring R, RStudio, and R packages • Using R for math: variable types, vectors, calling functions, and more • Exploiting data structures, including data.frames, matrices, and lists • Creating attractive, intuitive statistical graphics • Writing user-defined functions • Controlling program flow with if, ifelse, and complex checks • Improving program efficiency with group manipulations • Combining and reshaping multiple datasets • Manipulating strings using R’s facilities and regular expressions • Creating normal, binomial, and Poisson probability distributions • Programming basic statistics: mean, standard deviation, and t-tests • Building linear, generalized linear, and nonlinear models • Assessing the quality of models and variable selection • Preventing overfitting, using the Elastic Net and Bayesian methods • Analyzing univariate and multivariate time series data • Grouping data via K-means and hierarchical clustering • Preparing reports, slideshows, and web pages with knitr • Building reusable R packages with devtools and Rcpp • Getting involved with the R global community

R F R Dummies

Author: Andrie de Vries
Editor: John Wiley & Sons
ISBN: 3527812520
Size: 18,60 MB
Format: PDF, Mobi
Read: 105
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Wollen Sie auch die umfangreichen Möglichkeiten von R nutzen, um Ihre Daten zu analysieren, sind sich aber nicht sicher, ob Sie mit der Programmiersprache wirklich zurechtkommen? Keine Sorge - dieses Buch zeigt Ihnen, wie es geht - selbst wenn Sie keine Vorkenntnisse in der Programmierung oder Statistik haben. Andrie de Vries und Joris Meys zeigen Ihnen Schritt für Schritt und anhand zahlreicher Beispiele, was Sie alles mit R machen können und vor allem wie Sie es machen können. Von den Grundlagen und den ersten Skripten bis hin zu komplexen statistischen Analysen und der Erstellung aussagekräftiger Grafiken. Auch fortgeschrittenere Nutzer finden in diesem Buch viele Tipps und Tricks, die Ihnen die Datenauswertung erleichtern.

Hrm Basics

Author: Bruno Staffelbach
Editor: Vahlen
ISBN: 3800651521
Size: 19,72 MB
Format: PDF, ePub, Mobi
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Dieser kompakte Band führt in die zentralen Aufgabenfelder und Theorien des Human Resource Management ein. Denn Theorien sind kein Privileg, das Wissenschaftlern vorbehalten ist. Auch Praktiker haben ihre Theorien oder ihre Vorstellungen davon, wie ihre Welt „funktioniert“. Neben den grundlegenden theoretischen Ansätzen des HRM behandelt „HRM Basics“ die Schwerpunktthemen Motivation und Arbeitszufriedenheit, Arbeitsgestaltung und -bewertung sowie Anreize und Lohnsysteme. Als Brücke zwischen Theorie und Praxis richtet sich dieses Buch an verschiedene Gruppen: an Studierende von Universitäten und Fachhochschulen, an Entscheidungsträger in Wirtschaft und Verwaltung und an alle, die sich mit grundlegenden Inhalten, Sichtweisen und Praktiken des HRM vertraut machen wollen. Denn Personalmanagement ist eine Führungsaufgabe – sie ist zu wichtig, um sie der Personalabteilung alleine zu überlassen.

Entwurfsmuster

Author: Erich Gamma
Editor: Pearson Deutschland GmbH
ISBN: 9783827330437
Size: 18,84 MB
Format: PDF, ePub, Mobi
Read: 110
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The Design Of Everyday Things

Author: Norman Don
Editor: Vahlen
ISBN: 3800648105
Size: 11,85 MB
Format: PDF
Read: 107
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Apple, Audi, Braun oder Samsung machen es vor: Gutes Design ist heute eine kritische Voraussetzung für erfolgreiche Produkte. Dieser Klassiker beschreibt die fundamentalen Prinzipien, um Dinge des täglichen Gebrauchs umzuwandeln in unterhaltsame und zufriedenstellende Produkte. Don Norman fordert ein Zusammenspiel von Mensch und Technologie mit dem Ziel, dass Designer und Produktentwickler die Bedürfnisse, Fähigkeiten und Handlungsweisen der Nutzer in den Vordergrund stellen und Designs an diesen angepasst werden. The Design of Everyday Things ist eine informative und spannende Einführung für Designer, Marketer, Produktentwickler und für alle an gutem Design interessierten Menschen. Zum Autor Don Norman ist emeritierter Professor für Kognitionswissenschaften. Er lehrte an der University of California in San Diego und der Northwest University in Illinois. Mitte der Neunzigerjahre leitete Don Norman die Advanced Technology Group bei Apple. Dort prägte er den Begriff der User Experience, um über die reine Benutzbarkeit hinaus eine ganzheitliche Erfahrung der Anwender im Umgang mit Technik in den Vordergrund zu stellen. Norman ist Mitbegründer der Beratungsfirma Nielsen Norman Group und hat unter anderem Autohersteller von BMW bis Toyota beraten. „Keiner kommt an Don Norman vorbei, wenn es um Fragen zu einem Design geht, das sich am Menschen orientiert.“ Brand Eins 7/2013 „Design ist einer der wichtigsten Wettbewerbsvorteile. Dieses Buch macht Spaß zu lesen und ist von größter Bedeutung.” Tom Peters, Co-Autor von „Auf der Suche nach Spitzenleistungen“

Data Science F R Dummies

Author: Lillian Pierson
Editor: John Wiley & Sons
ISBN: 352780675X
Size: 13,79 MB
Format: PDF, Kindle
Read: 378
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Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME. Zahlreiche Beispiele veranschaulichen die vorgestellten Methoden und Techniken. So können Sie die Erkenntnisse dieses Buches auf Ihre Daten übertragen und aus deren Analyse unmittelbare Schlüsse und Konsequenzen ziehen.

Computational Methods For Numerical Analysis With R

Author: James P Howard, II
Editor: CRC Press
ISBN: 1351646508
Size: 14,17 MB
Format: PDF, ePub, Mobi
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Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.

Introductory R A Beginner S Guide To Data Visualisation Statistical Analysis And Programming In R

Author: Robert Knell
Editor: Robert Knell
ISBN: 0957597118
Size: 19,58 MB
Format: PDF, ePub, Docs
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R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include: A walkthrough of the basics of R's command line interface Data structures including vectors, matrices and data frames R functions and how to use them Expanding your analysis and plotting capacities with add-in R packages A set of simple rules to follow to make sure you import your data properly An introduction to the script editor and advice on workflow A detailed introduction to drawing publication-standard graphs in R How to understand the help files and how to deal with some of the most common errors that you might encounter. Basic descriptive statistics The theory behind statistical testing and how to interpret the output of statistical tests Thorough coverage of the basics of data analysis in R with chapters on using chi-squared tests, t-tests, correlation analysis, regression, ANOVA and general linear models What the assumptions behind the analyses mean and how to test them using diagnostic plots Explanations of the summary tables produced for statistical analyses such as regression and ANOVA Writing your own functions in R Using table operations to manipulate matrices and data frames Using conditional statements and loops in R programmes. Writing longer R programmes. The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.

Managerial Accountant S Compass

Author: Gary R. Oliver
Editor: Routledge
ISBN: 1351602845
Size: 20,73 MB
Format: PDF, Docs
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This is the first detailed view of the managerial accountant’s role and responsibilities in organization setting. Its aim is to foster role development: the opportunity to work at an advanced level of practice. Accounting studies develop technical skills associated with topics, and, responding to defined scenarios but provide very little guidance on what to recognizing and approaching the broad problems or challenges under conditions of uncertainty. It is a double first because it provides the managerial accountant’s compass as a general purpose analytical framework for managerial accounting independent of any selected theory and method. The metaphor of a compass creates a mental schema for its four points named (1) goals and principles, (2) boundaries and constraints, (3) methods and models, and, (4) collegial relationships. Dynastic Chinese and some other Central Asian cultures, view the center as a fifth principal direction, giving a total of five points. The center represents a high standard ethical conduct and self-care, or moral compass. Managerial Accountant’s Compass offers an integrated and systematic guide to approaching situations that are constantly changing. It gives a protective starting pattern which produces new meanings and awareness of the ambiguity and uncertainty for each situation. Ultimately the managerial accountant’s compass can help you make more effective sense of yourself, your expertise and your practice in the organization where you work, which should open career opportunities.