background preloader

An R Introduction to Statistics

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.

http://www.r-tutor.com/

Related:  RRCodingTutorialsdata scienceStatistics

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! Why R is Hard to Learn by Bob Muenchen R has a reputation of being hard to learn. Some of that is due to the fact that it is radically different from other analytics software.

Using R for Multivariate Analysis — Multivariate Analysis 0.1 documentation Plotting Multivariate Data Once you have read a multivariate data set into R, the next step is usually to make a plot of the data. A Matrix Scatterplot One common way of plotting multivariate data is to make a “matrix scatterplot”, showing each pair of variables plotted against each other. We can use the “scatterplotMatrix()” function from the “car” R package to do this. To use this function, we first need to install the “car” R package (for instructions on how to install an R package, see How to install an R package). 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. Top 5 free tutorials for beginning Ruby on Rails developers Top 5 free tutorials for beginning Ruby on Rails developers Just getting into developing with Rails? Are you wanting to learn more about how to put together a Rails application? Learn R Upload mybringback.com mybringback

Related:  Learn RR-languageStatistiques