Cookbook for R
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Basics

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    Basics

    R language basics

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