2.5. Linkek

2.5.1. Információforrások az interneten

• Tutoriálok

  • http://www.statmethods.net/
  • http://www.cookbook-r.com/
  • http://www.r-tutor.com/
  • http://www.cyclismo.org/tutorial/R/
  • http://www.codeschool.com/courses/try-r
  • http://www.r-bloggers.com/a-crash-course-in-r/
  • http://www.inside-r.org/
  • http://www.twotorials.com/
  • http://stackoverflow.com/tags/r/info

• Blogok

  • http://www.r-bloggers.com/
  • http://blog.revolutionanalytics.com/
  • http://onertipaday.blogspot.hu/
  • http://andrewgelman.com/

• Könyvek letölthető adatállományai

  • Reiczigel J., Harnos A., Solymosi N. (2010). Biostatisztika nem statisztikusoknak.
    
  • Ketskeméty László, Izsó Lajos, Könyves Tóth Előd (2011). Bevezetés az IBM SPSS Statistics programrendszerbe.
    
  • David C. Howell (2012). Statistical Methods in Psychology
    
  • Barry H. Cohen (2000). Explaining Psychological Statistics.
  • Dieter Rasch, Klaus Kubinger, Takuya Yanagida (2011). Statistics in Psychology Using R and SPSS.
    
  • Mouton de Gruyter (2013). Statistics for Linguistics with R.
    
  • R. K. Pearson (2011). Exploring Data in Engineering, the Sciences, and Medicine.
  • Zuur, Ieno and Smith (2007). Analyzing Ecological Data.
  • Zuur, Ieno, Walker, Saveliev and Smith (2009). Mixed Effects Models and Extensions in Ecology with R.
    
  • Zuur, Ieno and Meesters (2009). A Beginner's Guide to R.
    
  • Zuur, Saveliev and Ieno (2012). Zero Inflated Models and Generalized Linear Mixed Models with R.
    
  • Michael J. Crawley (2012). The R Book.
    
  • Deb Nolan and Terry Speed (2001). STAT LABS: Mathematical Statistics Through Applications.
    
  • Michael J. Crawley (2005). Statistics: An Introduction using R.
    
  • R. Lyman Ott Michael T. Longnecker (2001). An Introduction to Statistical Methods and Data Analysis
    
  • R. Lyman Ott Michael T. Longnecker (2008). An Introduction to Statistical Methods and Data Analysis
    
  • Allan G Bluman (2012). Elementary Statistics: A Step-By-Step Approach.
    
  • Andy Field, Jeremy Miles, Zoë Field (2012). Discovering Statistics Using R.
    
  • Robert A. Muenchen (2011). R for SAS and SPSS Users.
  • Claus Thorn Ekstrom (2011). The R Primer.
    
  • Bruno Falissard (2011). Analysis of Questionnaire Data with R.
    
  • Murray Logan (2010). Biostatistical Design and Analysis Using R: a practical guide
    

• Egyéb

  • Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science.
    

2.5.2. Könyvek

• PDF

  • Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2014). An Introduction to Statistical Learning with Applications in R.
  • Trevor Hastie, Robert Tibshirani and Jerome Friedman (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
  • http://cnx.org/content/col10522/1.38/pdf
  • http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/

• HTML

  • Jonathan Baron, Yuelin Li (2011). Notes on the use of R for psychology experiments and questionnaires.
  • https://personality-project.org
  • Barbara Illowsky and Susan Dean (2014). Collaborative Statistics.
  • http://data.princeton.edu/R

• Egyéb

  • http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/