R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9789350233795
- 519.502855133 TEE-R
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 519.502855133 TEE-R (Browse shelf(Opens below)) | Checked out to ASHWINI JAYACHANDRAN (DCBSMC22004) | 04/04/2023 | DCB2223 |
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519.502855133 COT-L Learning R | 519.502855133 CRA-R The 'R' Book | 519.502855133 PRA-B Big Data Analytics with R and Hadoop: Setup an integrated infrastructure of R and Hadoop to turn your data analytics into Big data Analytics/ | 519.502855133 TEE-R R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics | 519.503 UPT-O Oxford Dictionary of Statistics | 519.535 LAT-A Analyzing Multivariate Data | 519.542 SIL-S The Signal and the Noise: The Art and Science of Prediction |
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data \\\Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R languageâ€"one practical example at a time.\\\
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