chapman hall crc the r - 三民網路書店

Geocomputation with R

作者：Robin (University of Leeds Lovelace UK); Jakub Nowosad; Jannes (Friedrich Schiller University Muenchow Jena Germany) 出版社：PBKTYFRL 出版日：2025/01/20 裝訂：精裝

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95折

2.

Stated Preference Methods Using R

作者：Hideo Aizaki; Tomoaki Nakatani; Kazuo Sato 出版社：PBKTYFRL 出版日：2024/10/14 裝訂：平裝

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定價：2924 元，優惠價：95 2777

Multiple Factor Analysis by Example Using R

95折

3.

Multiple Factor Analysis by Example Using R

作者：Jerome Pages 出版社：PBKTYFRL 出版日：2024/10/14 裝訂：平裝

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定價：2924 元，優惠價：95 2777

4.

Microeconometrics with R

作者：Yves (Universite de La Reunion Croissant France) 出版社：PBKTYFRL 出版日：2025/02/14 裝訂：精裝

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95折

5.

Introductory Fisheries Analyses with R

作者：Derek H. (Northland College Ogle Ashland Wisconsin USA) 出版社：PBKTYFRL 出版日：2024/10/14 裝訂：平裝

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定價：2924 元，優惠價：95 2777

90折

6.

Geocomputation with R

作者：Robin (University of Leeds Lovelace UK); Jakub Nowosad; Jannes (Friedrich Schiller University Muenchow Jena Germany) 出版社：PBKTYFRL 出版日：2025/01/20 裝訂：平裝

預購中

定價：3379 元，優惠價：9 3041

7.

Analyzing Baseball Data With R

作者：Jim Albert; Benjamin S. Baumer; Massimiliano Max 出版社：Chapman & Hall 出版日：2018/12/06 裝訂：平裝

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessar

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02-25006600[分機130、131]。

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Practical R for Mass Communication and Journalism

90折

8.

Practical R for Mass Communication and Journalism

作者：Sharon Machlis Garienberg 出版社：Chapman & Hall 出版日：2018/11/24 裝訂：平裝

Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before.Most R texts focus only on programming or statistical theory. Practical R

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定價：3150 元，優惠價：9 2835

9.

Distributions for Modeling Location, Scale, and Shape ― Using Gamlss in R

作者：Robert A. Rigby; Mikis D. Stasinopoulos; Gillian Z. Heller; Fernanda De Bastiani 出版社：Chapman & Hall 出版日：2019/09/20 裝訂：精裝

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02-25006600[分機130、131]。

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10.

Analyzing Baseball Data With R

作者：Jim Albert; Benjamin S. Baumer; Massimiliano Max 出版社：Chapman & Hall 出版日：2018/12/04 裝訂：精裝

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessar

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02-25006600[分機130、131]。

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Parallel Computing for Data Science ─ With Examples in R, C++ and CUDA

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11.

Parallel Computing for Data Science ─ With Examples in R, C++ and CUDA

作者：Norman Matloff 出版社：Taylor & Francis 出版日：2015/06/30 裝訂：精裝

With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical

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定價：3539 元，優惠價：1 3539

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12.

Extending R

作者：John M. Chambers 出版社：Productivity Press 出版日：2016/06/30 裝訂：平裝

R's most widespread role is its use by a large community of contributors to implement software for new results in statistics, for datarelated computational and graphical techniques, or for the special

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定價：3719 元，優惠價：1 3719

13.

R Graphics

作者：Paul Murrell 出版社：CRC Pr I Llc 出版日：2018/11/14 裝訂：精裝

This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages

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Basics of Matrix Algebra for Statistics With R

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14.

Basics of Matrix Algebra for Statistics With R

作者：Nick Fieller 出版社：Productivity Press 出版日：2015/07/24 裝訂：精裝

A Thorough Guide to Elementary Matrix Algebra and Implementation in RBasics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized

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定價：3539 元，優惠價：1 3539

15.

Dynamic Documents With R and Knitr

作者：Yihui Xie 出版社：Productivity Press 出版日：2015/07/06 裝訂：平裝

Quickly and Easily Write Dynamic DocumentsSuitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating com

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02-25006600[分機130、131]。

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16.

Flexible Regression and Smoothing ─ Using Gamlss in R

作者：Dimitrios Stasinopoulos; Robert Anthony Rigby; Gillian Heller; Vlasios Voudouris; Fernanda De Bastiani 出版社：Chapman & Hall 出版日：2017/04/11 裝訂：精裝

Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) are very popular statistical tools, but, they have been shown to break down for large complex datasets, which are increasingly p

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17.

Practical R for Mass Communication and Journalism

作者：Sharon Machlis Garienberg 出版社：Chapman & Hall 出版日：2018/11/22 裝訂：精裝

Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before.Most R texts focus only on programming or statistical theory. Practical R

若需訂購本書，請電洽客服
02-25006600[分機130、131]。

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18.

Graphical Data Analysis with R

作者：Antony Unwin 出版社：Productivity Press 出版日：2015/05/20 裝訂：精裝

See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which g

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02-25006600[分機130、131]。

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19.

Reproducible Finance With R ― Code Flows and Shiny Apps for Portfolio Analysis

作者：Jonathan K. Regenstein Jr. 出版社：Chapman & Hall 出版日：2018/09/20 裝訂：精裝

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigm

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The Essentials of Data Science ─ Knowledge Discovery Using R

90折

20.

The Essentials of Data Science ─ Knowledge Discovery Using R

作者：Graham Williams 出版社：Chapman & Hall 出版日：2017/07/10 裝訂：平裝

This book focuses is on data science. It includes plenty of actual examples of the typical data processing and data presentations required of a professional data scientist. The material will be especi

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定價：3418 元，優惠價：9 3076

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三民網路書店 / 搜尋結果

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Geocomputation with R

Stated Preference Methods Using R

Multiple Factor Analysis by Example Using R

Microeconometrics with R

Introductory Fisheries Analyses with R

Geocomputation with R

Analyzing Baseball Data With R

Practical R for Mass Communication and Journalism

Distributions for Modeling Location, Scale, and Shape ― Using Gamlss in R

Analyzing Baseball Data With R

Parallel Computing for Data Science ─ With Examples in R, C++ and CUDA

Extending R

R Graphics

Basics of Matrix Algebra for Statistics With R

Dynamic Documents With R and Knitr

Flexible Regression and Smoothing ─ Using Gamlss in R

Practical R for Mass Communication and Journalism

Graphical Data Analysis with R

Reproducible Finance With R ― Code Flows and Shiny Apps for Portfolio Analysis

The Essentials of Data Science ─ Knowledge Discovery Using R