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  • R ggplot2 - Understanding the parameters of the aes function
    library(ggplot2) df <- data frame( x = c(1, 2), y = c(2, 1) ) ggplot(df, aes(x, y + 1)) + geom_point(colour = "green") + geom_line(aes(colour = "blue")) Here, the aes(x, y + 1) means aes(x = x, y = y + 1) which sets the x and y aesthetics that some layers understand to the x and y columns of the dataframe
  • Construct aesthetic mappings — aes • ggplot2
    Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms Aesthetic mappings can be set in ggplot() and in individual layers
  • aes : Construct aesthetic mappings - R Package Documentation
    Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms Aesthetic mappings can be set in ggplot() and in individual layers aes(x, y, ) x, y,
  • GGPlot AES: How to Assign Aesthetics in GGPlot2 - Datanovia
    In this article, you will learn how to map variables in the data to visual properpeties of ggplot geoms (points, bars, box plot, etc) These visual caracteristics are known as aesthetics (or aes) and include: Aesthetic mappings can be defined in ggplot() and in individual layers (such as geom_point(), geom_line(), etc) Contents: geom_boxplot()
  • Construct aesthetic mappings — aes • ggplot2 - GitHub Pages
    Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms Aesthetic mappings can be set in ggplot2() and in individual layers aes (x, y, ) x, y, List of name value pairs giving aesthetics to map to variables





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