Analytic Software Packages
Additional Help with Analytical Tools
- Resources for Data Analysis Research GuideThis extensive guides provides information, tutorials, and link to books about R, SAS, SPSS, and other analytic tools.
LinkedIn Learning (formerly Lynda.com)
- LinkedIn Learning (formerly Lynda.com)Northwestern University and lynda.com have partnered to offer University students, faculty and staff unlimited, on-demand access to a full library of online courses at no additional cost. Course topics include most major software programs as well as workplace skills like presentations, leadership and career development.
Introductory Text on Various Analytic Tools
A Beginner's Guide To R by ISBN: 9780387938363Table of Contents:
Introduction / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Getting Data into R / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Accessing Variables and Managing Subsets of Data / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Simple Functions / Alain F. Zuur, Elena N. Ieno, Erik Meesters
An Introduction to Basic Plotting Tools / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Loops and Functions / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Graphing Tools / Alain F. Zuur, Elena N. Ieno, Erik Meesters
An Introduction to the Lattice Package / Alain F. Zuur, Elena N. Ieno, Erik Meesters -- Common R Mistakes / Alain F. Zuur, Elena N. Ieno, Erik Meesters
Data Manipulation with R by ISBN: 9780387747309Table of Contents:
Data in R
Reading and Writing Data
R and Databases
Dates
Factors
Subscripting
Character Manipulation
Data Aggregation
Reshaping Data
A Handbook of Statistical Analyses Using R by ISBN: 9781420079333Table of Contents:
1. An Introduction to R
2. Data Analysis Using Graphical Displays
3. Simple Inference
4. Conditional Inference
5. Analysis of Variance
6. Simple and Multiple Linear Regression
7. Logistic Regression and Generalised Linear Models
8. Density Estimation
9. Recursive Partitioning
10. Smoothers and Generalised Additive Models
11. Survival Analysis
12. Analysing Longitudinal Data I
13. Analysing Longitudinal Data II
14. Simultaneous Inference and Multiple Comparisons
15. Meta-Analysis
16. Principal Component Analysis
17. Multidimensional Scaling
18. Cluster Analysis.
Data Mining with R: Learning with Case Studies by ISBN: 9781439810187
SAS and R: Data Management, Statistical Analysis, and Graphics by ISBN: 9781420070576
Using R for Introductory Statistics by ISBN: 1584884509
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