Spatial Data Science
  • Introduction to R
    • Introduction
    • Basic data types
    • Basic data structures
    • Indexing
    • Algebra
    • Read and write files
    • Data exploration
    • Functions
    • Apply
    • Flow control
    • Data preparation
    • Graphics
    • Statistical models
    • Miscellaneous
    • Help!
  • Spatial data with “raster”
  • Spatial data with “terra”
Spatial Data Science
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  • Introduction to R

Introduction to R¶

  • Introduction
    • Installing the R and R Studio software
      • Windows
      • Mac
      • Linux
  • Basic data types
    • Numeric and integer values
    • Character values
    • Logical values
    • Factors
    • Missing values
    • Time
  • Basic data structures
    • Matrix
    • List
    • Data frame
  • Indexing
    • Vector
    • Matrix
    • List
    • Data.frame
    • Which, %in% and match
  • Algebra
    • Vector algebra
      • Logical comparisons
      • Functions
      • Random numbers
    • Matrices
  • Read and write files
    • Paths
    • Files
    • Excel files
  • Data exploration
    • Summary and table
    • Quantile, range, and mean
  • Functions
    • Existing functions
    • Writing functions
    • Ellipses (…)
    • Functions overview
  • Apply
    • apply
    • apply
    • tapply
    • aggregate
    • sapply and lapply
  • Flow control
    • Looping
      • for-loops
      • break and next
      • while-loops
    • Branching
  • Data preparation
    • reshape
      • wide to long
      • long to wide
    • merge
    • sort
  • Graphics
    • Scatter plots
    • Some other base plots
    • Exploring the iris data set
      • Scatter plot
      • Titles and axis labels
      • Plotting characters
      • Colors
      • Axes
      • Interacting with plots
      • Legend
    • Multiple plots
    • Saving plots
    • Summary
      • Resources
  • Statistical models
  • Miscellaneous
    • Packages
    • Piping
    • How to write a good script?
  • Help!
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