# An R Introduction to Statistics

In our previous statistics tutorials, we have treated population parameters as fixed values, and provided point estimates and confidence intervals for them. An alternative approach is the Bayesian statistics. It treats population parameters as random variables. Probability becomes a measure of our belief in possible outcomes. With new tools like OpenBUGS, tackling new problems requires building new models, instead of creating yet another R command.
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HarvardX Biomedical Data Science
We recently received funding from the NIH BD2K initiative to develop MOOCs for biomedical data science. Our first offering is the eight course series: Data Analysis for Genomics. The series provides different entry points for students with different levels of expertise. We provide four courses on concepts and skills and four case-study based course.
Simple examples
Let's write a function to compute factorials. The mathematical definition of n factorial is: n!
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Using R for Multivariate Analysis — Multivariate Analysis 0.1 documentation
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Children Growth Charts
In the graphs below a series of percentile curves illustrate the distribution of selected body measurements in children. Use the WHO/CDC growth standards to monitor growth for infants and children ages 0 to 3 years of age.The selected body measures will be displayed as black points. If the black point lies near the blue line, it means that the child has normal weight/height for the given age.

statistics
by Terry M. Therneau Ph.D.Faculty, Mayo Clinic About a year ago there was a query about how to do "type 3" tests for a Cox model on the R help list, which someone wanted because SAS does it.
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