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one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data;
Vergelijkbare producten zoals Graphical Data Analysis with R
one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data;
Vergelijkbare producten zoals Graphical Data Analysis with R
of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies;
Vergelijkbare producten zoals Graphics for Statistics and Data Analysis with R
Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles;
Vergelijkbare producten zoals Graphics for Statistics and Data Analysis with R
software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic;
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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language;
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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book;
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of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis;
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and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge;
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This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics;
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methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;
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--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this;
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fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating STATA's impressive graphics, this;
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. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year;
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A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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the analysis. The authors demonstrate how to analyze data-showing code, graphics, and accompanying tabular listings-for all the methods they;
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for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment;
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expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the;
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. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified;
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In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel;
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For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic;
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sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a;
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guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing;
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with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers;
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Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users;
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to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the;
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