Tools for Statistical Analysis
全球愈來愈多政治學者，都已經知道並開始學習R/S-plus這個統計學界中近乎標準的統計工具(見R-project.org)。使用R沒有正版盜版的問題。站在支持開放原始碼社群，以及站在選擇高品質統計工具的立場，我推薦R給學習應用統計的同學與同仁。可是，目前國內尚無R的應用統計教科書。雖然所有的學習材料都可以是免費的，然而，想要真正擁抱R，你必須不害怕學習程式語言、不嫌閱讀技術手冊麻煩，並且願意用英語進行學習。本頁收集了以R為主的相關資源以及其他學習應用統計相關的免費資料，它將會是本站更新頻率最頻繁的幾個網頁之一。R有幾個特色：
一、它的功能超過商界統計軟體龍頭SAS；二、它的操作難度不超過SAS （雖然對於習慣SPSS的使用者來說它以寫程式碼的操作方式和SAS一樣不友善)；三、它的更新速度超過所有統計軟體公司 （因為它有有全球學術社群的維護與更新）；四、它的圖表之精緻連STATA這個美國政治學者廣泛使用的軟體都在得以「趕上了R的製圖水準」作為促銷新版的口號；五、它跨作業系統 （Mac OS, Windows, Linux都可以安裝)；六、R，免費 （有興趣的話不妨查一查一套正版SAS, STATA或SPSS的單機版及升級版的價位)。
R& S-plus
Manuals and Handouts
- R-project.org
- R Manual (pdf) & package list
- R Archive Search
- R Data Import & Export
- R-pad
- S-plus Manuals
- R reference card (pdf) & a summary of functions (pdf)
- A short course in R
- John Fox's Time Series Regression and Generalized Least Squares
- Zelig Manual
- Packages:
- S-PLUS manual for Categorical Data Analysis:
- comprehensive, (Laura A. Thompson)
- briefer, (Brett Presnell)
- Paul Johnson's R tips
- Kurt Hornik's R FAQ
- Answers to Exercise for Peter Dalgaard's (2002) "Introductory Statistics with R"
- Appendix for John Fox's (2002)"An R and S-PLUS Companion to Applied Regression"
- Appendix for Frank Harrell's (2001) "Regression Modeling Strategies"
- E-book: Practical Regression and ANOVA using R (.pdf, 213 pages)
- E-book: Using R for Data Analysis and Graphics (.pdf, 112 pages)
- Resource list
- Resource list 2
- UCLA statistical computing resources
- A guide to free statistical software and resources
- A brief guide to R for beginners in econometrics
- Some Political Science Published Works that Use Simple Statistical Procedures
↑ TOP
Research Method Courses Using R
- Professor Andersen's ICPSR course web site of using R in advanced
regression.
http://socserv.socsci.mcmaster.ca/andersen/icpsr.html - School of Mathematics, Statistics, and Computer Science. University
of
New England. STAT 300, Statistical Modeling in the Sciences III.
http://mcs.une.edu.au/~stat300/notes4.ps
Emacs Speaks Statistics (ESS) for R
- ESS: Emacs speaks statistics
- An installation guide of ESS and FAQ.
- Peter Dalgaard's R FAQ about using R in Emacs
- Resources of self-studying Emacs
↑ TOP
Other Statistical Packages
Stata
Statistics Textbooks
- Glyn Davis
- William Trochim
- David Garson
- David Lane
- David Stockburger
- Julian Simon
- StatSoft.com
- Rice Virtual Lab in Statistics (simulations and demonstrations)
- StatCenter Sampler, University of Utah
- A nice and free
pdf calculus text book by H. Jerome Keisler
(1986 version, available in 2002) - Probability Distributions
- Math review
↑ TOP