R Programming/Duration Analysis

R Programming

R Basics
Data Management
Graphics
- ggplot
Publication quality output
Descriptive Statistics
Mathematics
Statistical Core Methods
Regression Models
- Linear Models
- Quantile Regression
- Binomial Models
- Multinomial Models
- Tobit And Selection Models
- Count Data Models
- Duration Analysis
Time Series
Factor Analysis
Classification
- Ordination
- Clustering
Network Analysis
High Performance Computing
- Profiling R code
- Parallel computing with R
Appendix
- Sources
- Index

Using R for Survival Analysis (pdf)
See the survival package
bootkm() Bootstrap Kaplan-Meier Estimates in Hmisc package
event.chart() Flexible Event Chart for Time-to-Event Data in the Hmisc package

References

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Last modified on 17 January 2011, at 16:15