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  1. ggplot2 - Create Elegant Data Visualisations Using the Grammar of …

    ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it …

  2. Introduction to ggplot2

    ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to ‘speak’ a graph …

  3. Package index • ggplot2

    To create your own geoms, stats, scales, and facets, you’ll need to learn a bit about the object oriented system that ggplot2 uses. Start by reading vignette("extending-ggplot2") then consult these functions …

  4. Create a new ggplot — ggplot • ggplot2

    ggplot() initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of aesthetic mappings for the plot, intended to be common throughout all subsequent …

  5. Aesthetic specifications • ggplot2

    In addition, ggplot2 provides a conversion factor as the variable .pt, so if you want to draw 12pt text, you can also set size = 12 / .pt. Justification Horizontal and vertical justification have the same …

  6. FAQ: Axes • ggplot2

    By default, ggplot2 expands the scale by 5% on each side for continuous variables and by 0.6 units on each side for discrete variables. To keep the default expansion on top while removing it at the …

  7. FAQ: Barplots • ggplot2

    How can I make a bar plot of group means? Either calculate the group means first and use geom_col() to draw the bars or let ggplot2 calculate the means with stat_summary() with fun = "mean" and geom …

  8. FAQ: Reordering • ggplot2

    Bar plots How can I reorder the bars in a bar plot by their value? Change the order of the levels of the factor variable you’re creating the bar plot for in the aes thetic mapping. The forcats package offers a …

  9. FAQ: Customising - ggplot2

    Note that ggplot2 has a variety of complete themes that might already do what you’re hoping to accomplish. For example, if you prefer a more minimal look to your plots, without the grey …

  10. Construct aesthetic mappings — aes • ggplot2

    See also vars() for another quoting function designed for faceting specifications. Run vignette("ggplot2-specs") to see an overview of other aesthetics that can be modified. Delayed evaluation for working …