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Titlebook: Beginning R 4; From Beginner to Pro Matt Wiley,Joshua F. Wiley Book 2020 Matt Wiley, Joshua F. Wiley 2020 R.programming.statistics.data.mod

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发表于 2025-3-21 16:09:42 | 显示全部楼层 |阅读模式
期刊全称Beginning R 4
期刊简称From Beginner to Pro
影响因子2023Matt Wiley,Joshua F. Wiley
视频video
发行地址Written by R and statistical programming experts.A unique tutorial on beginning to program with the new R 4 programming language.Covers installing and using R
图书封面Titlebook: Beginning R 4; From Beginner to Pro Matt Wiley,Joshua F. Wiley Book 2020 Matt Wiley, Joshua F. Wiley 2020 R.programming.statistics.data.mod
影响因子.Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). .Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises 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 book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling..Beginning R 4. shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done..You
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Data and Samples,aybe you almost started thinking you could hear a familiar word or two, only to realize not. Statistics can sometimes feel like you are listening to a different language. In fact, in many ways, it . a different language. Just like an English class has nouns and verbs and a dictionary, so too statist
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Descriptive Statistics, The smaller, more immediate goal is to develop a regular set of tools and workflow to help us understand sample data. Because understanding often requires . a data set, .xploratory .ata .nalysis (EDA) is a modern term given to this stage. As you explore a sample, you will understand the sample data
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Understanding Probability and Distributions, thought and time. To recap, you have already learned a lot about using .. Then, you learned how to manipulate data and even describe the data through various summaries (numerical and graphical). . statistics is the science and art of using samples to understand and predict the population behavior.
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Correlation and Regression,ble such as flipper lengths or ages. Your first steps in predictive analytics – normal probabilities and z-scores – were also for only a single variable. While tallies and counts of a single variable are quite useful, predictive analytics often seeks to understand the relationship between two or mor
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Multiple Regression,o take a moment here to look back on what you have already learned. If there is a chapter that you know was challenging, this is an opportunity to reread that chapter. This all may sound a bit ominous; do not be overly worried! In every learner’s life, there comes a time when you have learned so muc
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