This book is a practical reference for industry engineers using MATLAB to solve everyday problems: learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding…
With its widely acclaimed web-based notebook, IPython is an ideal gateway to data analysis and numerical computing in Python. This book contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. You will learn how to: code better by w…
SPSS explained
by Hinton, Perry R., (Perry Roy), McMurray, Isabella, Brownlow, Charlotte
SPSS Explained clearly outlines how to undertake key statistical analyses using the SPSS releases 10, 11 and 12. Step-by-step explanations illustrated with screen shots guide students through the basic procedures and all aspects of SPSS output. The reader is introduced to thinki…
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-st…
Statistik Und Excel: Elementarer Umgang Mit Daten
Introduction -- Getting started with SPSS statistics 19 -- Editing data sets -- Describing and exploring your data -- Graphs and charts -- Comparing averages : two-sample and one-sample tests -- The one-way ANOVA -- Between subjects factorial experiments -- Within subjects exper…
Dynamic Documents with R and knitr
by Xie, Yihui
fromChapman & Hall/CRC the R series (CRC Press)
IntroductionReproducible ResearchLiteratureGood and Bad PracticesBarriersA First LookSetupMinimal ExamplesQuick Reporting Extracting R Code Editors RStudio LYX Emacs/ESS Other Editors Document FormatsInput Syntax Document Formats Output Renderers R Scripts Text OutputInline Outp…
"Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data ana…
"This book presents the theory and practice of major multilevel modeling techniques in a variety of contexts using R as the software tool. It describes the applications and extensions of multilevel modeling with special emphasis on the use of R to conduct the analyses and interp…
Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics.
If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an a…
If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an a…
This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, …
The author uses examples from art, design, business, statistics, cartography, and online media, to explore concepts and ideas about illustrating data.
To write an accomplished program in the DATA step of SAS(R), programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS(R) DATA Step Programming shows readers how best to manage and manipulate data by …