Introduction -- Data management in R -- Describing data graphically -- Descriptive statistics -- Parametric tests -- Analysis of variance -- Two-way analysis of variance -- Analysis of covariance -- Correlation analysis -- Linear regression analysis -- Nonparametric tests -- Principal components and factor analysis -- Logistic regression -- Cluster analysis -- Multidimensional scaling -- Introduction to time series analysis -- Volatility analysis.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.