Available decks
This has not only a list of the built-in decks available for the flashr package (and the tags used in the flashr package) but also HTML examples of each deck that you can test out.
R for Data Science
1st edition
- Ch. 1 Introduction:
r4ds01 - Ch. 3 Data visualization:
r4ds03 - Ch. 5 Data transformation:
r4ds05 - Ch. 7 Exploratory data analysis:
r4ds07 - Ch. 8 Workflow: projects:
r4ds08 - Ch. 10 Tibbles:
r4ds10 - Ch. 11 Data import:
r4ds11 - Ch. 12 Tidy data:
r4ds12 - Ch. 13 Relational data:
r4ds13 - Ch. 14 Strings:
r4ds14 - Ch. 15 Factors:
r4ds15 - Ch. 16 Dates and times:
r4ds16 - Ch. 18 Pipes:
r4ds18 - Ch. 20 Vectors:
r4ds20 - Ch. 21 Iteration:
r4ds21 - Ch. 23 Model basics:
r4ds23 - Ch. 25 Many models:
r4ds25 - Ch. 27 R Markdown:
r4ds27 - Ch. 28 Graphics for communication:
r4ds28 - Ch. 29 R Markdown formats:
r4ds29 - Ch. 30 R Markdown workflow:
r4ds30
2nd edition
- Ch. 0 Introduction:
r4ds-2e00 - Ch. 1 Data visualization:
r4ds-2e01 - Ch. 2 Workflow: Basics:
r4ds-2e02 - Ch. 3 Data transformation:
r4ds-2e03 - Ch. 4 Workflow: Style:
r4ds-2e04 - Ch. 5 Data tidying:
r4ds-2e05 - Ch. 7 Data import:
r4ds-2e07 - Ch. 9 Layers:
r4ds-2e09 - Ch. 10 Exploratory data analysis:
r4ds-2e10 - Ch. 11 Communication:
r4ds-2e11 - Ch. 12 Logical vectors:
r4ds-2e12 - Ch. 13 Numbers:
r4ds-2e13 - Ch. 14 Strings:
r4ds-2e14 - Ch. 15 Regular expressions:
r4ds-2e15 - Ch. 16 Factors:
r4ds-2e16 - Ch. 17 Dates and times:
r4ds-2e17 - Ch. 18 Missing values:
r4ds-2e18 - Ch. 19 Joins:
r4ds-2e19 - Ch. 20 Spreadsheets:
r4ds-2e20 - Ch. 21 Databases:
r4ds-2e21 - Ch. 22 Arrow:
r4ds-2e22 - Ch. 23 Hierarchical data:
r4ds-2e23 - Ch. 24 Web scraping:
r4ds-2e24 - Ch. 25 Functions:
r4ds-2e25 - Ch. 26 Iteration:
r4ds-2e26 - Ch. 27 Base R:
r4ds-2e27 - Ch. 28 Quarto:
r4ds-2e28 - Ch. 29 Quarto formats:
r4ds-2e29
PsyTeachR books
PsyTeachR Fundamentals of Quantitative Analysis
- Ch. 1 Introduction to programming:
psyteachr_fqa01 - Ch. 2 Creating reproducible documents:
psyteachr_fqa002 - Ch. 3 Intro to data visualisation:
psyteachr_fqa03 - Ch. 4 Data wrangling 1:
psyteachr_fqa04 - Ch. 5 Data wrangling 2:
psyteachr_fqa05 - Ch. 6 Data wrangling 3:
psyteachr_fqa06 - Ch. 7 Scatterplots, boxplots, violin plots:
psyteachr_fqa07 - Ch. 8 Regression with continuous predictor:
psyteachr_fqa08 - Ch. 9 Regression with categorical predictor:
psyteachr_fqa09 - Ch. 10 Statistical power:
psyteachr_fqa10 - Ch. 11 Missing data:
psyteachr_fqa11 - Ch. 12 One-way ANOVA:
psyteachr_fqa12 - Ch. 13 Factorial ANOVA:
psyteachr_fqa13 - Ch. 14 Multiple regression:
psyteachr_fqa14 - Ch. 15 Analysis Journey 1:
psyteachr_fqa15 - Ch. 16 Analysis Journey 2:
psyteachr_fqa16
PsyTeachR Data Skills for Reproducible Research
- Ch. 1 Introduction:
psyteachr_dsrr01 - Ch. 2 Reports:
psyteachr_dsrr02 - Ch. 3 Data visualisation:
psyteachr_dsrr03 - Ch. 4 Data summaries:
psyteachr_dsrr04 - Ch. 5 Data relations:
psyteachr_dsrr05 - Ch. 6 Data tidying:
psyteachr_dsrr06 - Ch. 7 Data wrangling:
psyteachr_dsrr07 - Ch. 8 Iteration & functions:
psyteachr_dsrr08 - Ch. 9 Probability & simulation:
psyteachr_dsrr09 - Ch. 10 Next steps:
psyteachr_dsrr10
PsyTeachR Applied Data Skills
- Ch. 1 Intro to R and RStudio:
psyteachr_ads01 - Ch. 2 Reports with R Markdown:
psyteachr_ads02 - Ch. 3 Data visualisation:
psyteachr_ads03 - Ch. 4 Data summaries:
psyteachr_ads04 - Ch. 7 Data relations:
psyteachr_ads07 - Ch. 8 Data tidying:
psyteachr_ads08 - Ch. 9 Data wrangling:
psyteachr_ads09 - Ch. 10 Customising visualisations & reports:
psyteachr_ads10
Miscellaneous functions
Miscellaneous decks
- Data types:
data_types - Operators:
operators - Vectors:
vectors
If you have ideas for decks that are listed here, look into contributing your own decks.