• Exploratory data analysis for cancer biologists
  • Preface
  • 1 Introduction
  • 2 Data manipulation using dplyr
    • 2.1 Install
    • 2.2 Pipe operator %>%
    • 2.3 dplyr verbs
      • 2.3.1 select()
      • 2.3.2 filter()
      • 2.3.3 mutate()
      • 2.3.4 rename()
      • 2.3.5 arrange()
      • 2.3.6 distinct()
      • 2.3.7 slice()
      • 2.3.8 join
      • 2.3.9 group_by() and summarise()
    • 2.4 Exercise
  • 3 Plotting using ggplot2
    • 3.1 Mini intro to ggplot2
    • 3.2 Installation
    • 3.3 Plotting with ggplot2
      • 3.3.1 Difference between base R plot and ggplot2
      • 3.3.2 General parameters for ggplot()
    • 3.4 Plotting exercise
  • 4 Metabric data analysis
  • References
  • Published with bookdown

Exploratory data analysis for cancer biologists

References

References:

https://r4ds.had.co.nz/data-visualisation.html

https://ggplot2.tidyverse.org/

https://r4ds.had.co.nz/graphics-for-communication.html

http://r-statistics.co/ggplot2-Tutorial-With-R.html

http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html

https://beanumber.github.io/sds192/lab-ggplot2.html