Statistics

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Preliminaries

http://ww2.coastal.edu/kingw/statistics/R-tutorials/logistic.html

R Tutorials--Logistic Regression

http://ww2.coastal.edu/kingw/statistics/R-tutorials/formulae.html

R Tutorials--Model Formulae

This is a short tutorial on writing model formulae for ANOVA and regression analyses. It will be linked to from those tutorials, but you are welcome to read it just for kicks if you'd like. R functions such as aov( ), lm( ), and glm( ) use a formula interface to specify the variables to be included in the analysis.

We can test the overall interaction with the test command.

Regression with SPSS: Lesson 3 - Regression with Categorical Predictors

http://www.ats.ucla.edu/stat/spss/webbooks/reg/chapter3/spssreg3.htm

Using Discrete Predictors in a Regression Model

Regression: Statnotes, from North Carolina State University

http://faculty.chass.ncsu.edu/garson/PA765/regress.htm#stepwise1

This content is now available from Statistical Associates Publishers. Click here .

Home Online Help Analysis

http://dss.princeton.edu/online_help/analysis/interpreting_regression.htm

DSS - Interpreting Regression Output

pca - Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? - Statistical Analysis - Stack Exchange

(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1)

Akaike information criterion

Basic Statistics

Descriptive Statistics