Cookbook for R
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Basics

来源 cookbook-r.com 浏览 9 扫码 打印 2026-10-24 11:04:19
  • Basics
    • Basics
    • R environment
    • R language basics

Basics

Basics

R environment

  • Installing and using packages

R language basics

  • Indexing into a data structure
  • Getting a subset of a data structure
  • Making a vector filled with values
  • Information about variables
  • Working with NULL, NA, and NaN
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  • Introduction
  • Basics
    • Installing and using packages
    • Indexing into a data structure
    • Getting a subset of a data structure
    • Making a vector filled with values
    • Information about variables
    • Working with NULL, NA, and NaN
  • Numbers
    • Generating random numbers
    • Generating repeatable sequences of random numbers
    • Saving the state of the random number generator
    • Rounding numbers
    • Comparing floating point numbers
  • Strings
    • Creating strings from variables
  • Formulas
    • Creating a formula from a string
    • Extracting components from a formula
  • Data input and output
    • Loading data from a file
    • Loading and storing data with the keyboard and clipboard
    • Running a script
    • Writing data to a file
    • Writing text and output from analyses to a file
  • Manipulating data
    • General
      • Sorting
      • Randomizing order
      • Converting between vector types
      • Finding and removing duplicate records
      • Comparing vectors or factors with NA
      • Recoding data
      • Mapping vector values
    • Factors
      • Renaming levels of a factor
      • Re-computing the levels of factor
      • Changing the order of levels of a factor
    • Data Frames
      • Renaming columns in a data frame
      • Adding and removing columns from a data frame
      • Reordering the columns in a data frame
      • Merging data frames
      • Comparing data frames
      • Re-computing the levels of all factor columns in a data frame
    • Restructuring data
      • Converting data between wide and long format
      • Summarizing data
      • Converting between data frames and contingency tables
    • Sequential data
      • Calculating a moving average
      • Averaging a sequence in blocks
      • Finding sequences of identical values
      • Filling in NAs with last non-NA value
  • Statistical analysis
    • Regression and correlation
    • t-test
    • Frequency tests
    • ANOVA
    • Logistic regression
    • Homogeneity of variance
    • Inter-rater reliability
  • Graphs
    • Graphs with ggplot2
      • Bar and line graphs (ggplot2)
      • Plotting means and error bars (ggplot2)
      • Plotting distributions (ggplot2)
      • Scatterplots (ggplot2)
      • Titles (ggplot2)
      • Axes (ggplot2)
      • Legends (ggplot2)
      • Lines (ggplot2)
      • Facets (ggplot2)
      • Multiple graphs on one page (ggplot2)
      • Colors (ggplot2)
    • Miscellaneous
      • Output to a file
      • Shapes and line types
      • Fonts
    • Basic graphs with standard graphics
      • Histogram and density plot
      • Scatterplot
      • Box plot
      • Q-Q plot
    • Other interesting graphs
      • Correlation matrix
  • Scripts and functions
    • Debugging a script or function
    • Measuring elapsed time
    • Getting a list of functions and objects in a package
  • Tools for experiments
    • Generating counterbalanced orders
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