روز اول • Install and run R in a Windows-based environment • Manage and customize the R working environment • Access R help and documentation • Install new R functionality through add-on packages • Communicate with R via the command-line and via scripts • Transfer data from other software applications to R and vice versa • Store data in R using a variety of data structures • Prepare data stored in R for use in statistical analyses • Produce numerical summaries of data using R • Write customized R functions to automate repetitive data-processing tasks • Use helpful tips for efficient programming in R روز دوم • Construct basic statistical graphs • Customize and save graphical output produced by R • Perform a variety of basic statistical procedures, including t-tests, chi-square tests, simple linear regression analysis and one-way analysis of variance (ANOVA), and interpret the resulting R output • Assess the adequacy of these statistical procedures through appropriate diagnostics and adopt remedial actions where warranted
