1. Data Collection & Datasets
1.1 Building Dataset
Data Collection
Data Frame
Data Frame in R
1.2 Data Import
Types of Data Storage
Text Import
R-Import
SPSS Import
2. Descr. Statistics
General
Measures of Central Tendency
Measures of Dispersion
3. Tidyverse
What is it?
3.1 dplyr
Most Common Functions
Piping
Splitting a Dataset
Add Cases
2 Combining Datasets
New Variables
3.2 tidyr
Dataset Structure
Untidy Datasets
Tidy Up Statclass
tidy up statclass 2
4. Programming Excursion
If Condition
For-Loop
Functions
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Study unit 3
Study unit 4
Study unit 5
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Study unit 2
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Tidyverse
> Tidyverse - dplyr
Chapter 3.1
Tidyverse - dplyr
This chapter introduces data processing with the dplyr package.