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R for Dummies by Andrie De Vries, Joris Meys, Data Analysis Scripts Charts Mod..
US $16.90
大約HK$ 131.48
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US $4.82(大約 HK$ 37.50) USPS Media MailTM.
所在地:San Francisco, California, 美國
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- 物品狀況
- 很新: 狀況完好的書籍。封面發亮且沒有損壞,精裝本書籍含書皮。不存在缺頁或內頁受損,無褶皺或破損,同時也沒有對文字標注/標記,或在留白處書寫內容。內封面上標記極少。書籍的磨損和破損程度也很低。 查看所有物品狀況定義會在新視窗或分頁中開啟
- Subject Area
- Data Analysis
- Book Title
- R for Dummies
- Features
- 2nd Edition
- Country/Region of Manufacture
- United States
- Subject
- Computer Science
- ISBN
- 9781119055808
關於產品
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119055806
ISBN-13
9781119055808
eBay Product ID (ePID)
205681978
Product Key Features
Number of Pages
432 Pages
Language
English
Publication Name
R for Dummies
Publication Year
2015
Subject
Programming / General, Mathematical & Statistical Software, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
20 Oz
Item Length
9.1 in
Item Width
7.4 in
Additional Product Features
Edition Number
2
Intended Audience
Trade
LCCN
2015-941928
Illustrated
Yes
Synopsis
Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies , 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide. Covers downloading, installing, and configuring R Includes tips for getting data in and out of R Offers advice on fitting regression models and ANOVA Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers., Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies , 2nd Edition provides a quick and painless way to master all the R you'll ever need., Learn to: Use R for data analysis and processing Write functions and scripts for repeatable analysis Create high-quality charts and graphics Perform statistical analysis and build models All the R you need for statistical and data analysis, explained in plain English! Do you have to use R on the job, but you don't know much about programming? Relax! Here's a quick and painless guide to using R for all sorts of statistical and data analysis. Through real-world examples and step-by-step exercises you'll learn how to reshape and manipulate data, perform calculations, create graphical representations, and more. Get started with R acquire and install R, learn what makes R unique, compare code editors, and write your first R script Play well with others see how R interacts with Excel and other programs and why statisticians and data analysts favor it R ABCs make your code clear and explore functions and arguments A calculating side take advantage of R's calculating power, working with numbers, infinity, missing values, mathematical functions, and vectors Get textual use character vectors for text data, manipulate text, and work with strings and factors Data tells a tale manipulate and process data using subsets, merge data from different sources, sort it, and summarize using statistical techniques Go graphic present your data visually using plots and lattice graphics Open the book and find: User packages that extend R Tips for getting data into and out of R How R handles basic arithmetic What to do with regression models Advice on managing the logical flow Effective debugging strategies How to incorporate dates and times Additional graphics packages you can use
LC Classification Number
QA276.45.R3
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