Data Science: R Basics

Chapters

1Getting Started with R and RStudio

2R Language Fundamentals

3Data Types and Structures

4Vectors and Factors

5Matrices, Arrays, and Lists

6Data Frames and Tibbles

7Importing, Exporting, and Reading Data

8Data Cleaning and Transformation with dplyr

9Reshaping Data with tidyr

10Working with Dates, Strings, and Categories

11Exploratory Data Analysis and Visualization with ggplot2

12Control Flow, Functions, and Apply Family

if else and switch for while and repeat next and break Function syntax and scope Arguments defaults and dots Return values and invisibility Closures and lexical scoping Documenting with roxygen2 Vectorize and mapply apply lapply sapply vapply and replicate purrr map family Anonymous functions Error handling tryCatch Debugging with browser

13Reproducibility, Projects, and Packages

14Basics of Statistical Modeling in R

15Working with Larger Data and Performance

Courses/Data Science: R Basics/Control Flow, Functions, and Apply Family

Control Flow, Functions, and Apply Family

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Write clear, reusable code using control structures, functions, and iteration tools.

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Anonymous functions

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