Cookbook for R
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Measuring elapsed time
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2020-04-16 19:23:42
Measuring elapsed time
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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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