Rank = as.integer ( rank ) ) %>% ggplot ( ) + geom_col ( aes ( # CHANGE IS HERE # apply label to x axis labels Tic ( ) axis_plot % mutate (label = link_to_img ( headshot_href ), Credit to Emil Hvitfeldt for the idea of using an img tag and the function we’re adapting to embed images. Note that again, while this looks like a HTML call it works anywhere you want to use ggplot2. Thus, to achieve our goal of embedding images, we can create an img HTML tag to embed an image rather than just format text. In short, ggtext provides a limited subset of markdown/ HTML/ CSS syntax as an interface to changing text in ggplot2. The ggtext site has all the capabilities and function details. The overall purpose of ggtext is to provide “improved text rendering support for ggplot2”. Here ggtext::geom_richtext() handles the proper scaling of the image without really any intervention from us! While geom_richtext() is very useful we’re sort of using it out of its normal context. However, there’s an even easier way thanks to ggtext! While this may seem like a bit of work, it’s a good habit to think explicitly about what size or ratio you want to save your plots out as (it can inform how big to make your text amongst other things). Width = 0.4 ) + scale_color_identity (aesthetics = c ( "fill", "color" ) ) + geom_vline (xintercept = 0, color = "black", size = 1 ) + theme_minimal ( ) + scale_x_continuous (breaks = scales :: pretty_breaks (n = 10 ) ) + labs (x = "\nQBR",Ī = element_text (size = 16, face = "bold" ),Ī = element_text (margin = margin (r = - 25, unit = "pt" ) ), X = qbr_total, y = fct_reorder ( name, qbr_total ), Side_plot % mutate (label = link_to_img ( headshot_href ), Plot.caption = element_markdown (size = 12 ),Īxis.text = element_text (size = 14, face = "bold" ),Ī = element_text (size = 16, face = "bold" ) ) Plot.subtitle = element_text (size = 16 ), Plot.title = element_text (face = "bold", size = 20 ), Width = 0.4 ) + scale_color_identity (aesthetics = c ( "fill", "color" ) ) + geom_hline (yintercept = 0, color = "black", size = 1 ) + theme_minimal ( ) + scale_x_continuous (breaks = c ( 1, seq ( 5, 30, by = 5 ) ), limits = c ( 0.5, 34 ) ) + scale_y_continuous (breaks = scales :: pretty_breaks (n = 10 ) ) + labs (x = NULL,Ĭaption = "**Data:** espnscrapeR | **Plot:** ) + theme ( Rank = as.integer ( rank ) ) %>% ggplot ( ) + geom_col ( aes (įill = team_color, color = team_alt_color ), O’Reilly Media.Basic_plot % mutate (label = link_to_img ( headshot_href ), Help on all the ggplot functions can be found at the The master ggplot help site.Ī useful cheat sheet on commonly used functions can be downloaded here.Ĭhang, W (2012) R Graphics cookbook. To further customise the aesthetics of the graph, including colour and formatting, see our other ggplot help pages: Print(IrisPlot + myblanktheme + labs(title = "Petal and sepal \nlength of iris", y = "Petal length (cm)", x = "Sepal length (cm)")) Legend.text = element_text(face = "italic", colour = "steelblue4", family = "Helvetica"),Īxis.title = element_text(family = "Helvetica", size = (10), colour = "steelblue4"), Plot.title = element_text(family = "Helvetica", face = "bold", size = (15)), The following code would remove the legend title and axis text. To do this you use the code = element_blank(), remembering those open and closed brackets. For example, size = (3).Īnother option is to remove the text from the plot entirely. Remember to include “” before and after the colour name. the colour can be changed to any of the colours listed here. the type of emphasis, with options including bold, italic and “alic”. Examples of fonts include: “Palatino”, “Helvetica”, “Courier”, “Times”. The font, colour, size and emphasis of any of these labels can be altered by arguments within element_text(your format). legend categories - legend.text = element_text().Where “title type” specifies which particular text you want to edit. The basic format is: mytheme <- theme(title type = element_text(your formats)) To do this, use the code theme() and customise with element_text() to alter these properties. The font, colour, size and emphasis of your labels and text can all be altered. One Continuous and One Categorical VariableĪltering the text style of your legend, axis or title
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