R by Example
Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this...
में बचाया:
| मुख्य लेखकों: | , |
|---|---|
| निगमित लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक ई-पुस्तक |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| संस्करण: | 2nd ed. 2024. |
| श्रृंखला: | Use R!,
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| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1007/978-3-031-76074-7 |
| टैग: |
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| 100 | 1 | |a Albert, Jim. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a R by Example |h [electronic resource] / |c by Jim Albert, Maria Rizzo. |
| 250 | |a 2nd ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XV, 454 p.). | ||
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| 505 | 0 | |a Introduction -- Quantitative Data -- Categorical Data -- Exploratory Data Analysis -- Presentation Graphics -- Importing Data -- Basic Inference Models -- Regression -- Analysis of Variance I -- Analysis of Variance II -- Randomization Tests -- Multivariate Data -- Simulation Experiments -- Bayesian Modeling -- Monte Carlo Methods. | |
| 520 | |a Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Statistics . | |
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| 650 | 0 | |a Computer science |x Mathematics. | |
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| 650 | 0 | |a Information theory. | |
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| 650 | 2 | 4 | |a Probability and Statistics in Computer Science. |
| 650 | 2 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Coding and Information Theory. |
| 700 | 1 | |a Rizzo, Maria. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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