![]() ![]() In addition to making the workflow more efficient, R scripts provide another large benefit. Although this all could be accomplished by typing and re-typing commands at the R Console, it is easier and more effective to write the commands in a script file, which then can be submitted to the R console either a line at a time or all together. Furthermore, each of these representations may require several R commands to create. For example creating an effective graphical representation of data can involve trying out several different graphical representations, and then tens if not hundreds of iterations when fine-tuning the chosen representation. 11.6 A Summary of Useful graphics Functions and ArgumentsÄoing work in data science, whether for homework, a project for a business, or a research project, typically involves several iterations.8.4.2 Michigan Campgrounds Server Logic.8.4 More Advanced Shiny App: Michigan Campgrounds.7.2 Programming: Conditional Statements.6.2 Reading Data with Missing Observations.4.7.2 Logical Subsetting and Data Frames. ![]() 4.7.1 Modifying or Creating Objects via Subsetting.4.6.1 Accessing Specific Elements of Lists.4.5.1 Accessing Specific Elements of Data Frames.4.1.2 Accessing Specific Elements of Vectors.3.2.1 Creating and processing R Markdown documents.2.5 Workspace, Working Directory, and Keeping Organized.2.3.2 Basic descriptive statistics and graphics in R.1.6 How to learn (The most important section in this book!). ![]()
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