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Discovering Statistics Using R

Discovering Statistics Using R (Paperback)

제레미 마일스, 앤디 필드, 조이 필드 (지은이)
Sage Pubns
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Discovering Statistics Using R
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책 정보

· 제목 : Discovering Statistics Using R (Paperback) 
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 확률과 통계 > 일반
· ISBN : 9781446200469
· 쪽수 : 992쪽
· 출판일 : 2012-03-22

목차

Why Is My Evil Lecturer Forcing Me to Learn Statistics? What will this chapter tell me? What the hell am I doing here? I don't belong here Initial observation: finding something that needs explaining Generating theories and testing them Data collection 1: what to measure Data collection 2: how to measure Analysing data What have I discovered about statistics? Key terms that I've discovered Smart Alex's tasks Further reading Interesting real research Everything You Ever Wanted to Know About Statistics (Well, Sort of) What will this chapter tell me? Building statistical models Populations and samples Simple statistical modelsGoing beyond the data Using statistical models to test research questions What have I discovered about statistics? Key terms that I've discovered Smart Alex's tasks Further reading Interesting real research The R Environment What will this chapter tell me? Before you start Getting started Using R Getting data into R Entering data with R Commander Using other software to enter and edit data Saving Data Manipulating Data What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I've discovered Smart Alex's Tasks Further reading Exploring Data with Graphs What will this chapter tell me? The art of presenting data Packages used in this chapter Introducing ggplot2 Graphing relationships: the scatterplot Histograms: a good way to spot obvious problems Boxplots (box-whisker diagrams) Density plots Graphing means Themes and options What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I've discovered Smart Alex's tasks Further reading Interesting real research Exploring Assumptions What will this chapter tell me? What are assumptions? Assumptions of parametric data Packages used in this chapter The assumption of normality Testing whether a distribution is normal Testing for homogeneity of variance Correcting problems in the data What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I've discovered Smart Alex's tasks Further reading Correlation What will this chapter tell me? Looking at relationships How do we measure relationships? Data entry for correlation analysis Bivariate correlation Partial correlation Comparing correlations Calculating the effect size How to report correlation coefficents What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Regression What will this chapter tell me? An Introduction to regression Packages used in this chapter General procedure for regression in R Interpreting a simple regression Multiple regression: the basics How accurate is my regression model? How to do multiple regression using R Commander and R Testing the accuracy of your regression model Robust regression: bootstrapping How to report multiple regression Categorical predictors and multiple regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I've discovered Smart Alex's tasks Further reading Interesting real research Logistic Regression What will this chapter tell me? Background to logistic regression What are the principles behind logistic regression? Assumptions and things that can go wrong Packages used in this chapter Binary logistic regression: an example that will make you feel eel How to report logistic regression Testing assumptions: another example Predicting several categories: multinomial logistic regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I've discovered Smart Alex's tasks Further reading Interesting real research Comparing Two Means What will this chapter tell me? Packages us

저자소개

제레미 마일스 (지은이)    정보 더보기
캘리포니아 산타모니카의 RAND Corporation에서 행동과학자로 일하며, Pardee-RAND 대학원의 양적 연구 교수도 겸임하고 있다. 그는 개가 고양이보다 낫다는 ‘틀린’ 생각을 가지고 있으며, 로스앤젤레스에서 쌍둥이 아들과 쌍둥이 개, 쌍둥이 닭과 함께 살고 있다(아내는 쌍둥이가 아니다). 《Understanding and Using Statistics in Psychology》(SAGE, 2007)를 비롯해 여러 권의 책을 집필했다.
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조이 필드 (사진)    정보 더보기
현재 서식스 대학교에서 근무하며 여러 편의 연구 논문을 출판했지만, 책 집필은 이번이 처음이다. 그녀는 사랑하는 남편 앤디, 고양이 퍼지와 함께 통계학 지옥에서 즐겁게 살고 있다.
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