• Efficient R programming Book Club
  • Welcome
    • Pace
    • Format
  • 1 Introduction
    • Who is this for?
    • Who are we?
    • Types of efficiency
    • Why is R different?
    • Why efficiency?
    • General efficiency skills
    • Benchmarking
    • Benchmarking: microbenchmark
    • Benchmarking: bench
    • Profiling
    • Meeting Videos
      • Cohort 1
  • 2 Efficient set-up
    • System monitoring
    • Updating R & Packages
    • R Startup
    • RStudio Setup
    • WTF is BLAS?
    • Other R Intepreters
    • Meeting Videos
      • Cohort 1
  • 3 Efficient programming
    • SLIDE 1
    • Meeting Videos
      • Cohort 1
  • 4 Efficient workflow
    • Top tips for efficient workflow
    • Tip 1: Start with pen and paper
    • Tip 2: Chunk the work
    • Tip 3: Package selection
    • Tip 4: Document throughout
    • Tip 5: Publishing with reproducibility
    • Meeting Videos
      • Cohort 1
  • 5 Efficient input/output
    • What?
    • Overview
    • General principle in reproducible data management
    • Using rio
    • Plain text formats (1)
    • Plain text formats (2)
    • Binary formats (1)
    • Binary formats (2)
    • Binary formats (3)
    • More on I/O with arrow (1)
    • More on I/O with arrow (2)
    • More on I/O with arrow (3)
    • Getting data (1)
    • Getting data (2)
    • Meeting Videos
      • Cohort 1
  • 6 Efficient data carpentry
    • Why data carpentry?
    • The tidyverse: Core
    • The tidyverse: Readers
    • The tidyverse: Others
      • Debugging
      • Formatters
    • The tidyverse: Others 2
      • Behind the scenes
    • The tidyverse: Superseded?
    • janitor
    • data.table
    • targets
    • Meeting Videos
      • Cohort 1
  • 7 Efficient optimisation
    • SLIDE 1
    • Meeting Videos
      • Cohort 1
  • 8 Efficient hardware
    • What is a byte?
    • Understanding Computer Sizes
    • The Motherboard
    • The CPU
    • CPUs as a Coffee Shop
    • The CPU Deep Dive
    • RAM
    • The RAM Deep Dive
    • Storage
    • The HDD Deep Dive
    • The SSD Deep Dive
    • The Storage Deep Dive
    • 32 and 64-bit Systems
    • Networking
    • How Not to Worry
    • Meeting Videos
      • Cohort 1
  • 9 Efficient collaboration
    • SLIDE 1
    • Meeting Videos
      • Cohort 1
  • 10 Efficient learning
    • R help
    • help dot search
    • browseVignettes
    • help
    • R source code
    • swirl & learnr
    • R journals, etc
    • Reprexes & online help
    • Book clubs!
    • Teach
    • Meeting Videos
      • Cohort 1
  • Published with bookdown

Efficient R programming Book Club

help dot search

You can super-charge ??!

help.search(pattern, fields = c("alias", "concept", "title"),
            apropos, keyword, whatis, 
            ignore.case = TRUE,
            package = NULL, lib.loc = NULL,
            help.db = getOption("help.db"),
            verbose = getOption("verbose"),
            rebuild = FALSE, agrep = NULL, use_UTF8 = FALSE,
            types = getOption("help.search.types"))
  • apropos Search topics & title (separate from pattern)
  • keyword Specifically search keywords field
  • whatis Search in topics
  • agrep Specify how fuzzy to be (see agrep() function)
  • types “vignette”, “help”, and/or “demo”