Vol. 1: Data Wrangling
Welcome
Blocked Notes
Code and Output
The Authors
Why choose R ?
FYI
1
Data In and Out
1.1
Importing Data
1.1.1
In a package
1.1.2
R (.RData)
1.1.3
CSV, SPSS, Excel, Etc.
1.1.4
By hand
tribble()
1.2
Saving Data
1.2.1
R (.RData)
1.2.2
CSV and Excel
1.2.3
SPSS (.sav)
2
Tidy Data
2.1
Define Tidy Data
2.2
Tidying (Cleaning) Data
2.3
Changing Variable Type
2.4
Changing a whole dataset to a certain class
2.5
Janitor Package
2.6
Washer function in the Furniture package
2.7
Tidyverse
2.7.1
Pipes
2.7.2
Subset Data
2.7.3
Filter, equality/inequality, and/or, within
2.7.4
Mutate
2.7.5
Forcats Package
2.7.6
Group_by
3
Joining Datasets
3.1
types of joining
4
Changing Structure
4.1
Wide vs. Long
4.1.1
tidyr::gather()
4.1.2
tidyr::spread()
References
Published with bookdown
Encyclopedia of Quantitative Methods in R, vol. 1: Data Wrangling
4
Changing Structure
4.1
Wide vs. Long
4.1.1
tidyr::gather()
4.1.2
tidyr::spread()