If we want to create our own dataset, we could enter the data into an Excel spreadsheet and save it as a. csv files are like spreadsheets, but are saved in a simpler format that makes it possible for R to read them.

For example, in this session we will be importing two data set files: Addendum - Normal, Binomial, Poisson ProbabilitiesĪll data sets used in PH717 are comma separated value (.csv) files.Manual - Basic Statistical Analysis Using R.Logistic Regression and Survival Analysis.Summary Statistics and Graphical Displays.Online Learning Modules by BUSPH Faculty.However, if you wish to learn more about R, here are links to additional resources. The examples embedded into each week?s learning modules will provide you with all of the necessary instructions for using R in this course, and it shouldn't be necessary to seek other instruction. If you have questions or issues regarding the installation, please do not hesitate to ask Tommi (TSVV) or Maja (MJKN). The modules for this course have many examples on how to use R for specific tasks, and you will be using these from week to week.

Once the RStudio is installed, it will have several windows as shown in the image below.

Select the appropriate R studio installer (Windows or MAC) and run the installation.

For Windows: click 'install R for the first time'.

For Mac: install R package based on your current operating system.

You will first install the base system for R and then install the RStudio, which provides a much more user-friendly interface.

Download r and rstudio