Styling Markers in ggplot2

How to Style Markers in ggplot2 with Plotly.

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Default point plot

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(wt, mpg))
p <-  p + geom_point()

ggplotly(p)

Add colour

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(wt, mpg))
p <-  p + geom_point(aes(colour = factor(cyl)))

ggplotly(p)

Changing shapes of data points

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(wt, mpg))
p <-  p + geom_point(aes(shape = factor(cyl)))

ggplotly(p)

Changing size of data points

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(wt, mpg))
p <-  p + geom_point(aes(size = qsec))

ggplotly(p)

Manually setting aesthetics

library(plotly)
library(ggplot2)

p <-  ggplot(mtcars, aes(wt, mpg)) + geom_point(colour = "red", size = 3)

ggplotly(p)

Optional shape arguments

For shapes that have a border (like shape 21), you can colour the inside and outside separately. Use the stroke aesthetic to modify the width of the border.

library(plotly)
library(ggplot2)

p <-    
 ggplot(mtcars, aes(wt, mpg)) +
  geom_point(shape = 21, colour = "black", fill = "white", size = 5, stroke = 5)

ggplotly(p)

Mix multiples shapes

You can create interesting shapes by layering multiple points of different sizes.

Default plot:

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(mpg, wt, shape = factor(cyl)))
p <-    
 p +
  geom_point(aes(colour = factor(cyl)), size = 4) +
  geom_point(colour = "grey90", size = 1.5)

ggplotly(p)

Mixed shapes:

library(plotly)
library(ggplot2)

p <- ggplot(mtcars, aes(mpg, wt, shape = factor(cyl)))
p <-    
 p +
  geom_point(colour = "black", size = 4.5) +
  geom_point(colour = "pink", size = 4) +
  geom_point(aes(shape = factor(cyl)))

ggplotly(p)

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)