R is a free computing and graphical software/environment for statistical analysis. This short course describes basic statistical analysis in R using two data sets. The 1974 Motor Trend Car Road Tests dataset which comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles will be used to illustrate the analyses. Analyses will also be performed on the National Longitudinal Mortality Survey which includes nearly a million records with 38 measurements each. Analyses described include t-tests, ANOVA, linear regression, and nonparametric tests. The course format includes a lecture portion covering statistical concepts, and the computer laboratory component covers usage of R to perform the analyses described above. The attendee can write, modify, and execute R codes for the statistical analysis.
This analysis is the second in a three-course series, which assumes no previous coding experience in R or any other language. Experience using R or attending Part I of this series is suggested but not required for this course. The intended audience for this course includes researchers who want to gain basic exposure to statistical analysis in R with the ultimate goal of incorporating R into their research programs.
R can be downloaded here: www.r-project.org
RStudio can be downloaded here: http://rstudio.org/download/desktop
LISA Short Course: Statistical Analysis in R from LISA on Vimeo.