BOOKDOWN

Write HTML, PDF, ePub, and Kindle books with R Markdown

The bookdown logo

The bookdown package is an open-source R package that facilitates writing books and long-form articles/reports with R Markdown. Features include:

  • Generate printer-ready books and ebooks from R Markdown documents.
  • A markup language easier to learn than LaTeX, and to write elements such as section headers, lists, quotes, figures, tables, and citations.
  • Multiple choices of output formats: PDF, LaTeX, HTML, EPUB, and Word.
  • Possibility of including dynamic graphics and interactive applications (HTML widgets and Shiny apps).
  • Support a wide range of languages: R, C/C++, Python, Fortran, Julia, Shell scripts, and SQL, etc.
  • LaTeX equations, theorems, and proofs work for all output formats.
  • Can be published to GitHub, bookdown.org, and any web servers.
  • Integrated with the RStudio IDE.
  • One-click publishing to https://bookdown.org.

Below is a list of featured books. For a full list, please see the archive page. For the full documentation of the bookdown package, please see the free online book bookdown: Authoring Books and Technical Documents with R Markdown.

Geocomputation with R

by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

2021-12-08
Geocomputation with R

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

1

blogdown: Creating Websites with R Markdown

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2021-11-23
blogdown: Creating Websites with R Markdown

A guide to creating websites with R Markdown and the R package blogdown. […] A note from the authors: Some of the information and instructions in this book are now out of date because of changes to Hugo and the blogdown package. If you have suggestions for improving this book, please file an issue in our GitHub repository. Thanks for your patience while we work to update the book, and please stay tuned for the revised version! In the meantime, you can find an introduction to the changes and new features in the v1.0 release blog post and this “Up & running with blogdown in 2021” blog post. … Read more →

2

bookdown: Authoring Books and Technical Documents with R Markdown

by Yihui Xie

2021-11-22
bookdown: Authoring Books and Technical Documents with R Markdown

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

3

R Markdown Cookbook

by Yihui Xie, Christophe Dervieux, Emily Riederer

2021-10-07
R Markdown Cookbook

This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis. Read more →

4

R Graphics Cookbook, 2nd edition

by Winston Chang

2021-09-23
R Graphics Cookbook, 2nd edition

This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. […] Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe … Read more →

5

Statistical Inference via Data Science

by Chester Ismay and Albert Y. Kim

2021-09-16
Statistical Inference via Data Science

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] This is the website for Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! Visit the GitHub repository for this site and find the book on Amazon. You can also purchase it at CRC Press using promo code ADC21 for a discounted price. This work by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

6

Text Mining with R

by Julia Silge and David Robinson

2021-09-02
Text Mining with R

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

7

Introduction to Data Science

by Rafael A. Irizarry

2021-07-03
Introduction to Data Science

This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown. Read more →

8

R Markdown: The Definitive Guide

by Yihui Xie, J. J. Allaire, Garrett Grolemund

2021-04-09
R Markdown: The Definitive Guide

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. Read more →

9

Efficient R programming

by Colin Gillespie, Robin Lovelace

2021-03-18
Efficient R programming

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. […] This is the online version of the O’Reilly book: Efficient R programming. Pull requests and general comments are welcome. Get a hard copy from: Amazon (UK), Amazon (USA), O’Reilly Colin Gillespie is Senior Lecturer (Associate Professor) at Newcastle University, UK. He is an Executive Editor of the R Journal, with research interests including high performance statistical computing and Bayesian statistics. Colin founded the … Read more →

10

Beyond Multiple Linear Regression

by Paul Roback and Julie Legler

2021-01-26
Beyond Multiple Linear Regression

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who have successfully completed a regression course. Even though there is no mathematical prerequisite, we still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. We believe strongly in case studies featuring real data and real research questions; thus, most of the data in the textbook arises from collaborative research conducted by the authors and their students, or from student projects. Our goal is that, after working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. Read more →

11

R Programming for Data Science

by Roger D. Peng

2020-09-03
R Programming for Data Science

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. Read more →

12

Advanced R

by Hadley Wickham

2021-12-09*
Advanced R

This is the website for 2nd edition of “Advanced R”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as help you to understand why R works the way it does. If you’re looking for the 1st edition, you can find it at http://adv-r.had.co.nz/. This work, as a whole, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The code contained in this book is simultaneously … Read more →

13

Data Science at the Command Line, 2e

by Jeroen Janssens

2021-12-09*
Data Science at the Command Line, 2e

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools—useful whether you work with Windows, macOS, or Linux. Read more →

14

Data Science Live Book

by Pablo Casas

2021-12-09*
Data Science Live Book

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! […] This book is now available at Amazon. Check it out! ? ?. Link to the black & white version, also available on full-color. It can be shipped to over 100 countries. ? The book will facilitate the understanding of common issues when data analysis and machine learning are done. Building a predictive model is as difficult as one line of R code: That’s it. But, data has its dirtiness in practice. We need to sculp it, just like an artist does, to expose its information in order … Read more →

15

Data Visualization

by Kieran Healy

2021-12-09*
Data Visualization

A practical introduction. […] Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or media … Read more →

16

Engineering Production-Grade Shiny Apps

by Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

2021-12-09*
Engineering Production-Grade Shiny Apps

A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy. […] Welcome to “Engineering Production-Grade Shiny Apps” by Colin Fay, Sébastien Rochette, Vincent Guyader and Cervan Girard. This book is available in print, published in the R Series by Chapman and Hall/CRC. You can grab a copy on routledge.com. The online version of this book is free to read … Read more →

17

Forecasting: Principles and Practice (2nd ed)

by Rob J Hyndman and George Athanasopoulos

2021-12-09*
Forecasting: Principles and Practice (2nd ed)

This is the second edition of Forecasting: Principles & Practice, which uses the forecast package in R. The third edition, which uses the fable package, is also available. Welcome to our online textbook on forecasting. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. The book is … Read more →

18

Fundamentals of Data Visualization

by Claus O. Wilke

2021-12-09*
Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional. […] This is the website for the book “Fundamentals of Data Visualization,” published by O’Reilly Media, Inc. The website contains the complete author manuscript before final copy-editing and other quality control. If you would like to order an official hardcopy or ebook, you can do so at various resellers, including Amazon, Barnes and Noble, Google Play, or Powells. The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. … Read more →

19

Hands-On Programming with R

by Garrett Grolemund

2021-12-09*
Hands-On Programming with R

This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. You’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. Throughout the book, you’ll use your newfound skills to solve practical data science problems. Read more →

20

R for Data Science

by Hadley Wickham and Garrett Grolemund

2021-12-09*
R for Data Science

This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use … Read more →

21

R Packages

by Hadley Wickham, Jennifer Bryan

2021-12-09*
R Packages

This book will teach you how to create a package, the fundamental unit of shareable, reusable, and reproducible R code. […] Welcome to R packages by Hadley Wickham and Jenny Bryan. Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t … Read more →

 

 

 

 

Top 20 Journals on tourism from google scholar

logo Google Scholar

http://kaiwu.city/index.php/237-gs-journal-tourism

 

SSCI journals

logo Clarivate Analytics

http://kaiwu.city/index.php/5-sscijournal

 

Journals on service management

http://kaiwu.city/index.php/7-smjournal

 

collections on tourism, hospitality,sport and leisure

http://kaiwu.city/index.php/6-journalcategory

 


dufe logo small

Journal list from DUFE

 

kreading_note_copy
Search:
Sort By: ASC DESC
kdate:
kresource:Hung, K., & Petrick, J. F. (2010). Developing a Measurement Scale for Constraints to Cruising. Annals of Tourism Research, 37(1), 206–228. https://doi.org/10.1016/j.annals.2009.09.002
knote:1 Intrapersonal constraints: C01 I can’t cruise because I have poor health C02 I don’t cruise because I have claustrophobia C03 I have sea-sickness/motion-sickness C04 I don’t cruise because my spouse/partner has poor health C05 I have a fear of the water/ocean C06 I need a special diet that is not available on a cruise C07 I worry about security on cruise ships 2 Interpersonal constraints: C08 I might not like my dinner companions on a cruise C09 I have no companion to go on a cruise wit C10 I might be lonely on a cruise 3 Structural constraints: C11 It’s difficult for me to find time to cruise C12 I don’t cruise due to my work responsibilities C13 I don’t cruise because I have too many family obligations C14 Cruising is too expensive 4 Not an option: C15 There are many other travel alternatives that C16 I’d like to do before cruising C17 I am not interested in cruising C18 My family/friends do not cruise. C19 Cruising never occur to me as a travel option C20 Cruising is not my family’s lifestyle.
kresearchnote:this is a measurement of tourism constraints including 4 dimensions with 20 items this is in the context of cruising. 旅游限制理论,量表scale ,measurement
ktitle:
ktype:
kcourse:
kdate:
kresource:叶小瑜, & 李海. (2016). 中国休闲体育研究进展及热点评析. 上海体育学院学报, 40(06), 37–44.
knote:总结了中国体育休闲的4个热门领域:(1)特定群体体育休闲参与;(2)休闲体育产业;(3)体育旅游;(4)休闲体育管理 ------------ 未来:1适应国家政策需要;2中国特色理论过框架体系;3多学科理论与研究方法融合 -------- 休闲体育的界定:
kresearchnote:research note
ktitle:
ktype:
kcourse:
kdate:
kresource:谭曙辉, 刘成, & 张河清. (2009). 体育旅游研究的国内外比较分析. 上海体育学院学报, 33(04), 54–58.
knote:note
kresearchnote:5页,有国内外定义的的比较
ktitle:
ktype:
kcourse:
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journals list from DUFE2018
Search:
Records per Page:
(1038 Records)

# tid   cid   Rank   Journal   Area   TH 
1582369CScandinavian Journal of Hospitality and TourismManagementtourism and hospitality
2551338CJournal of Travel and Tourism MarketingManagementtourism and hospitality
3506293CJournal of Hospitality and Tourism ResearchManagementtourism and hospitality
4469256CInternational Journal of Tourism ResearchManagementtourism and hospitality
5392179CAsia Pacific Journal of Tourism ResearchManagementtourism and hospitality
6374161BTourism ManagementManagementtourism and hospitality
7350137BJournal of Sustainable TourismManagementtourism and hospitality
829279BCurrent Issues in TourismManagementtourism and hospitality
925946AJournal of Travel ResearchManagementtourism and hospitality
1024330AATR Annals of Tourism ResearchManagementtourism and hospitality
11544331CJournal of Sport ManagementManagementsport
12543330CJournal of Sport and Health ScienceManagementsport
13542329CJournal of Sport and Exercise PsychologyManagementsport
14473260CInternational Review of Sport and Exercise PsychologyManagementsport
15428215CEuropean Sport Management QuarterlyManagementsport
1623118TopManufacturing and Service Operations ManagementManagementservice management
17585372CService Industries JournalManagementservice management
18539326CJournal of Services MarketingManagementservice management
19538325CJournal of Service ManagementManagementservice management
20537324CJournal of Retailing and Consumer ServicesManagementservice management
21466253CInternational Journal of Service Industry ManagementManagementservice management
2207676BHealth Services ResearchEconomicsservice management
2309191BJournal of Financial Services ResearchEconomicsservice management
24348135BJournal of Service ResearchManagementservice management
25424211CE-Service JournalManagementservice management
26553340CLeisure SciencesManagementleisure
27554341CLeisure StudiesManagementleisure
28518305CJournal of Leisure ResearchManagementleisure
29331118BJournal of Economics and Management StrategyManagement
30342129BJournal of Optimization Theory and ApplicationsManagement
31341128BJournal of Operational Research SocietyManagement
32340127BJournal of Occupational Health PsychologyManagement
33339126BJournal of Occupational and Organizational PsychologyManagement
34338125BJournal of Management Accounting ResearchManagement
35337124BJournal of International MarketingManagement
36336123BJournal of International Financial Management and AccountingManagement
37335122BJournal of International Accounting ResearchManagement
38334121BJournal of Interactive MarketingManagement
39333120BJournal of European Social PolicyManagement
40332119BJournal of European Public PolicyManagement
41324111BJournal of Accounting LiteratureManagement
42318105BInternational Journal of Management ReviewsManagement
43319106BInternational Journal of Production EconomicsManagement
44320107BInternational Journal of Production ResearchManagement
45321108BInternational Journal of Project ManagementManagement
46322109BInternational Marketing ReviewManagement
47323110BJournal of Accounting and Public PolicyManagement
48329116BJournal of Business Finance and AccountingManagement
49328115BJournal of American Taxation Association (Taxation session of AAA)Management
50327114BJournal of Advertising ResearchManagement
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https://simple.wikipedia.org/wiki/Spreadsheet

Spreadsheet is a computer program that imitates a paper worksheet. It shows a large sheet (like a sheet of paper) that has many cells in a grid of rows and columns. Users can put words or numbers into the cells, to make headings and store information (usually numbers). You can also move the grid lines around so that some cells are bigger than others, and change the color or size of text/font, the same way font/text is changed in a word processor. You can even put pictures in the worksheets, make multiple pages, and print out their results on real paper.

https://thedatalabs.org/wp-content/uploads/Excel/IntroductionToExcel/Infographics.png

Infographics spreadsheet


software

Microsoft Excel

https://www.microsoft.com/en-us/microsoft-365/excel

Apple numbers

https://www.apple.com/numbers/

Google sheets

https://www.google.com/sheets/about/

zoho sheet

https://www.zoho.com/sheet/

liboffice

https://www.libreoffice.org/

openoffice

http://www.openoffice.org/

 


WPS(金山文档)

https://drive.wps.cn/ 

https://docs.wps.cn

https://www.wps.cn/

腾讯文档

https://docs.qq.com

腾讯office

http://office.qq.com/

飞书文档

https://docs.feishu.cn/

石墨文档

https://shimo.im

一起写

https://yiqixie.com/

 


 books on spreadsheet

 

DUFE journals in PDF format

http://kaiwu.city/index.php/downloads?task=download.send&id=6&catid=2&m=0

 

how to show the developer tab(Excel VBA)

https://docs.microsoft.com/en-us/visualstudio/vsto/how-to-show-the-developer-tab-on-the-ribbon?view=vs-2019

Getting started with VBA in Office

https://docs.microsoft.com/en-us/office/vba/library-reference/concepts/getting-started-with-vba-in-office

 


 Excel VBA, replace,autofit,for loop,cstr,delete row,save,last row

 

VBA DUFE journals

 


Public Sub dufe_journals()

 

'merge 53 sheets

For i = 1 To 53
    sheet_start_row = 1 + 20 * (i - 1)
    sheet_name = "Sheet" & CStr(i)

    Sheets(sheet_name).Select
    Range("A1:E20").Select
    Selection.Copy

    Sheets("journals").Select
    Range("A" & CStr(sheet_start_row)).Select
    ActiveSheet.Paste
Next i

 

' get the row number of last row in the dataset
last_row = Cells(Rows.Count, 1).End(xlUp).Row

 

' replace alt+enter with space
For m = 1 To 5
    For n = 1 To last_row
        'Chr(10) is alt + enter
        'Chr(32) is space
        'https://docs.microsoft.com/en-us/office/vba/Language/Reference/User-Interface-Help/character-set-0127

        Cells(n, m).Select
        ActiveCell.Replace Chr(10), Chr(32), xlPart, xlByColumns
    Next n
Next m

 

'Auto Adjust the Column Width.
For m = 1 To 5
    Columns(m).AutoFit
Next m

 

'Auto Adjust the Row Height.
For n = 1 To last_row
    Rows(n).AutoFit
Next n

 

'delete row 1
Rows("1:1").Select
Selection.Delete Shift:=xlUp

 

'save the workbook
ActiveWorkbook.Save

 

End Sub

 

 

经典教材:爱上统计学Statistics for People Who (think They) Hate Statistics

作者:Neil J. Salkind(1947-2017)

https://www.findagrave.com/memorial/192090437/neil-j-salkind

https://www.socialsciencespace.com/2017/11/gentle-guide-neil-salkind-1947-2017/

 Neil J Salkind

The gentle good humor of that answer imbues one of his enduring efforts for SAGE Publishing, the Statistics for People Who (Think They) Hate Statistics books.

“Neil Salkind’s statistics textbooks were so successful because Neil had a unique gift for communicating an often-intimidating subject in a playful and humorous way,” recalled Helen Salmon, a senior acquisitions editor with SAGE. “His bestselling Statistics for People Who (Think They) Hate Statistics put students at ease, without being condescending. Neil was incredibly generous with his time and expertise: he published his email address in the front of his books, and would respond to several emails a day from students from around the world who asked for his advice and help. He was a wonderful author to work with, as he was always dreaming up the next project.”

https://uk.sagepub.com/en-gb/asi/author/neil-joseph-salkind

 https://www.amazon.com/Neil-J.-Salkind/e/B000APV1GM

https://www.goodreads.com/author/show/8442.Neil_J_Salkind

 


Book Reviews:

Gabriel, D. (2012, May 19). Review of Neil Salkind’s 4th edition of “Statistics for People Who Think They Hate Statistics.” https://www.hetl.org/reviewofneilsalkind/
 
Sharp, C. (2012). Book Review: Statistics for People who (Think They) Hate Statistics. Evaluation Journal of Australasia, 12(1), 42–43. https://doi.org/10.1177/1035719X1201200108
 
Bodey, K. J. (2009). A Review of: “SALKIND, NEIL J. Statistics for People Who (Think They) Hate Statistics (2nd).” Community Development, 40(3), 298–300. https://doi.org/10.1080/15575330903011736
 
Moseley, L. (2005). Book Review: Statistics for People Who (Think They) Hate Statistics. Nurse Researcher, 12(4), 89–91. https://doi.org/10.7748/nr.12.4.89.s6
 
Rogind, H. (2002). Book Review: Statistics for People Who (Think They) Hate Statistics. Neil J. Salkind, Sage Publications, London, 2000. Statistics in Medicine, 21(17), 2608–2609. https://doi.org/10.1002/sim.1050
 
 

 


Salkind, N. J., & Frey, B. B. (2020). Statistics for People Who (think They) Hate Statistics (7th ed.). Sage.
cover statistics hate7
Salkind, N. J., Frey, B. B., & Dowds, S. P. (2019). Study Guide for Education to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics (7th ed.). Sage.
Salkind, N. J., Frey, B. B., & Lindstrom, K. (2019). Study Guide to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics (7th ed.). Sage.
Salkind, N. J., Frey, B. B., & Winter, R. J. (2019). Study Guide for Psychology to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics (7th ed.). Sage.
Salkind, N. J., Frey, B. B., & Wood, M. M. (2019). Study Guide for Health & Nursing to Accompany Salkind & Frey′s Statistics for People Who (Think They) Hate Statistics (7th ed.). Sage.
cover statistics hate7study guide1 
 
cover statistics hate7study guide2education 
 
cover statistics hate7study guide3psychology
 
cover statistics hate7study guide4health


 

https://edge.sagepub.com/salkindfrey7e

online resource statistics hate7


Salkind, N. J. (2016). Statistics for People Who (think They) Hate Statistics (6th ed.). Sage. https://www.amazon.com/dp/1506333834/
cover statistics hate6
Winter, R. J. (2018). Study guide for Psychology to accompany Neil J. Salkind’s Statistics for people who (think they) hate statistics.
IBM spss statistics v24.0 student
cover statistics hate6study guide
  

Salkind, N. J. (2014). Statistics for people who (think they) hate statistics (5th ed.). Sage.
cover statistics hate5

Salkind, N. J. (2010). Statistics for People Who (think They) Hate Statistics (4th ed.). Sage.
SPSS 18 student
cover statistics hate4

Salkind, N. J. (2008). Statistics for people who (think they) hate statistics (3rd ed.). Sage.
SPSS student version 13.0
cover statistics hate3
Salkind, N. J. (2008). 爱上统计学. 重庆大学出版社.
cover statistics hate3cn

Salkind, N. J. (2003). Statistics for people who (think they) hate statistics (2nd ed.). Sage.
 cover statistics hate2

Salkind, N. J. (2000). Statistics for people who (think they) hate statistics. Sage Publications, Inc.
cover statistics hate1
 
 
 
 
 
 
 

Salkind, N. J., & Shaw, L. A. (2019). Statistics for People Who (Think They) Hate Statistics Using R. SAGE Publications, Inc.
dataset

cover statistics hate7using R

Salkind, N. J., & Frey, B. B. (2021). Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel (5th ed.). Sage.
dataset
cover statistics hate7using excel5
Salkind, N. J. (2016). Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.). Sage.
cover statistics hate6using excel4
Salkind, N. J. (2013). Statistics for People Who (think They) Hate Statistics: Excel 2010 Edition (3rd ed.). Sage.
cover statistics hate6using excel3
 
 
 
 
 
 

 
Salkind, N. J. (2017). Tests & Measurement for People Who (think They) Hate Tests & Measurement (3rd ed.). Sage.
 cover measurement hate3
Salkind, & J, N. (2018). Exploring Research (9th ed.). Pearson. 
exploring research9