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Introduction to R Programming Language
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Introduction to R Programming Language
Language: English
Published by Arcler Education Inc, 2021
ISBN 10: 177469039X ISBN 13: 9781774690390
Hardcover. Condition: Brand New. 277 pages. 9.00x6.00x1.00 inches. In Stock.
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Hardcover. Condition: Brand New. 277 pages. 9.00x6.00x9.02 inches. In Stock.
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Introduction to Biostatistics Using R
Language: English
Published by Arcler Education Inc, 2021
ISBN 10: 1774690403 ISBN 13: 9781774690406
Hardcover. Condition: Brand New. 518 pages. 9.00x6.00x9.02 inches. In Stock.
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Condition: New.
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Introduction to R Programming Language
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. hardcover. . . . . .
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Condition: New.
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Introduction to Biostatistics Using R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Hardcover. Condition: Brand New. 187 pages. 9.00x6.00x9.02 inches. In Stock.
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Hardcover. Condition: Brand New. 277 pages. 9.00x6.00x9.02 inches. In Stock.
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Introduction To Biostatistics Using R
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Introduction to R Programming Language
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Hardcover. Condition: Brand New. 277 pages. 9.00x6.00x9.02 inches. In Stock.
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Introduction to R Programming Language
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This book covers some introductory steps in using R programming language as a data science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data cleaning, data visualization, and machine learning. R is now considered the centerpiece language for doing all these data science skills because it has many useful packages that not only can perform all the previous skills, but also, has additional packages that was developed by different scientists in diverse fields. These fields include, but are not limited to, business, marketing, microbiology, social science, geography, genomics, environmental science, etc. Furthermore, R is free software and can run on all major platforms: Windows, Mac Os, and UNIX/Linux. The first two chapters involve installing and using R and RStudio. RStudio is an IDE (integrated development environment) that makes R easier to use and is more similar to SPSS or Stata. Chapters 3-8 covers the different R objects and how to manipulate them including the very popular one, dataframes. Chapter 9 is about importing different files into your R working session like text or excel files. Chapters 10 and 11 are dealing with different tidyverse packages that can do interesting summaries of different dataframes including different types of data visualizations. In the last chapter, it introduces how functions are created in R along with some control structures and useful functions. In all these chapters, many examples along with different codes and outputs are given to help your understanding of this powerful programming language. I hope this book will be great addition to your future data analysis projects.
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Hardcover. Condition: Brand New. 439 pages. 5.98x0.79x9.02 inches. In Stock.
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Hardcover. Condition: Brand New. 397 pages. 5.98x0.79x9.02 inches. In Stock.
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Statistics with R for Machine Learning: Volume 1 Data Preparation and Splitting with R for Machine Learning
Language: English
Published by Arcler Education Inc, 2025
ISBN 10: 1779564708 ISBN 13: 9781779564702
Hardcover. Condition: Brand New. 295 pages. 9.00x6.00x9.29 inches. In Stock.
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Statistics with R for Machine Learning: Volume 2 Advanced Resampling Techniques with R for Machine Learning
Language: English
Published by Arcler Education Inc, 2025
ISBN 10: 1779564716 ISBN 13: 9781779564719
Hardcover. Condition: Brand New. 185 pages. 9.00x6.00x9.02 inches. In Stock.
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Introduction to Biostatistics Using R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Condition: As New. Unread book in perfect condition.
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Statistics With R for Data Analysis
Language: English
Published by Arcler Education Inc, 2025
ISBN 10: 1779563531 ISBN 13: 9781779563538
Hardcover. Condition: Brand New. 277 pages. 9.00x6.00x8.80 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Introduction to R Programming Language
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Condition: New. 2021. hardcover. . . . . . Books ship from the US and Ireland.
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Introduction to Biostatistics Using R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Condition: New.
-
Hardback. Condition: New. This book covers some introductory steps in using R programming language as a data science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data cleaning, data visualization, and machine learning. R is now considered the centerpiece language for doing all these data science skills because it has many useful packages that not only can perform all the previous skills, but also, has additional packages that was developed by different scientists in diverse fields. These fields include, but are not limited to, business, marketing, microbiology, social science, geography, genomics, environmental science, etc. Furthermore, R is free software and can run on all major platforms: Windows, Mac Os, and UNIX/Linux. The first two chapters involve installing and using R and RStudio. RStudio is an IDE (integrated development environment) that makes R easier to use and is more similar to SPSS or Stata. Chapters 3-8 covers the different R objects and how to manipulate them including the very popular one, dataframes. Chapter 9 is about importing different files into your R working session like text or excel files. Chapters 10 and 11 are dealing with different tidyverse packages that can do interesting summaries of different dataframes including different types of data visualizations. In the last chapter, it introduces how functions are created in R along with some control structures and useful functions. In all these chapters, many examples along with different codes and outputs are given to help your understanding of this powerful programming language. I hope this book will be great addition to your future data analysis projects.
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Statistics with R for Data Visualization
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Statistics with R for Data Visualization
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This book covers the use of R programming language for data visualization. The large real-world datasets can be quickly visualized to gain several insights from it using R. Whether the data is already clean or needs some preliminary steps before data visualization like data cleaning and wrangling, all these can be done using R to produce elegant, publication-ready, and exciting plots. This book covers different plot types from simple ones like univariate and bivariate plots (histograms, box plots, violin plots, scatter plots, density plots, bar graphs, pie charts, tree maps, beeswarm plots, Cleveland dot charts, line plots, etc) to more complex ones like mapping and visualizing patterns of missing data (upset plots, different Stamen map types with different zoom levels). All these were shown using free real-world data sets to illustrate the diverse capability of R for data visualization.
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Condition: New.
