Content

• Calling functions Lesson 10 min Functions are R's tools: they receive arguments, return a result and can be nested inside each other. Programming with R
• Exercise: The weekly shop Exercise 20 min A receipt as vectors: you work out the total, count expensive items and deal with a price that is missing from the receipt. Programming with R
• Exercise: What does the milk cost per year? Exercise 15 min A household drinks milk every week: with names and functions you work out what that costs per year and how much switching brands saves. Programming with R
• Geh aufs Ganze: the game on television Video 5 min A clip from the German game show “Geh aufs Ganze” from 1994, the German version of “Let's Make a Deal”: three gates, one car, and the question whether to stick with your choice. Research questions and design
• Giving values a name Lesson 8 min With the arrow <- you store a result under a name and keep calculating with the name; plus the rules for good names. Programming with R
• Let's Make a Deal: 100 games with three doors Data set 5 min Where was the car, which door did the contestant pick, which did the host open, and did the contestant stay or switch? A small, clean data set for the first steps with vectors and tibbles. Getting and tidying dataProgramming with R
• Missing values Lesson 8 min NA stands for a value nobody knows. Why every calculation with it gives NA again, how to find missing values and when to leave them out. Programming with RData criticism and pitfalls
• Numbers, text and logical values Lesson 10 min Every vector has a type: number, text or logical value. How to recognise it, why a vector can have only one type and how to convert. Programming with R
• Products from the REWE online shop Data set 5 min A good 9,400 groceries and drugstore items with price, category, origin, organic label and nutrition values: real data with gaps, duplicates and a few values that cannot be right. Getting and tidying dataExploring and describingData criticism and pitfalls
• R as a calculator Lesson 8 min Your first contact with R: calculating, using brackets, dividing into whole numbers and writing comments, right in the browser. Programming with R
• Self-assessment: Exploratory data analysis with R Exercise 60 min Thirteen tasks on real product data: getting an overview, transforming, visualising and looking closely. This is how you check whether you are ready for exploratory data analysis. Exploring and describingTransforming dataVisualising
• The game with three doors Demo 5 min Three doors, one car, two goats: play the guessing game yourself, decide to stay or switch, and take your rounds with you as R code, CSV or RDS. Research questions and design
• Types of variables Slides 20 min What an observation and what a variable is, which four scales of measurement there are and what you may compute with each, and how R records the scale of a column with numbers, text and factors, shown on the game with three doors and the milk survey. Research questions and designProgramming with R
• Vectors Lesson 20 min In R almost everything is a vector, a series of values: how to build them, calculate with them, pick out single values, compare them and count with the result, using the game with three doors. Programming with R
• Vectors and data frames Slides 45 min How R holds data: vectors of exactly one type, comparing and picking position by position, missing values and factors, the data frame as a list of equally long vectors and the tibble as the table of the tidyverse, shown on the game with three doors. Programming with R
• What should we measure? Demo 10 min An empty table for the rounds played: add variables as columns, give them a data type, enter each game as a row, and save everything as a CSV or RDS file for R. Research questions and design

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