Axis

Customising the axis is done using two families of functions, gauge_ and axis_. It’s admittedly sometimes when one should use which, hopefully this part of the API will be made easier soon. In the meantime, one has to contend with it and use the few convenience function that attempt at easing the customisation of axis.

The reason for this is that, in a sense, G2.js distinguishes between 1) the axis themselves and 2) the variables that are plot against them; hence the use of two separate functions (gauge_ and axis_) which also map to two different JavaScript functions.

library(g2r)

data(penguins, package = 'palmerpenguins')

g2(
  penguins, 
  asp(bill_length_mm, flipper_length_mm, color = species)
) %>% 
  fig_point() %>%
  fig_smooth() %>%  
  gauge_y_pow() 

Title

Axis titles can be set with the convenience functions axis_title_*.

g2(
  penguins, 
  asp(bill_length_mm, flipper_length_mm, color = species)
) %>% 
  fig_point() %>%
  fig_smooth() %>%  
  axis_title_x("Flipper Length (mm)") %>% 
  axis_title_y("Bill Length (mm)")

Hide

To hide axis one can pass a boolean to the axis_* functions or, to hide both axis_hide.

df <- data.frame(
  name = c("Banana", "Apple", "Coconut", "Orange"),
  value = c(1, .8, .4, .1)
)

g2(df, asp(name, value, color = name)) %>% 
  fig_interval(
    asp(shape = "pyramid"),
    adjust("symmetric")
  ) %>% 
  coord_transpose() %>% 
  coord_scale(1, -1) %>% 
  axis_hide()

To customise anything else one has to use the axis_* functions. The documentation on the available arguments is on the official website.

g2(penguins, asp(bill_length_mm, color = sex)) %>% 
  fig_density() %>%   
  axis_y( 
    grid = list(
      alternateColor = c("#ededed", "white")
    )
  )

Grid

g2(mtcars, asp(wt, qsec)) %>% 
  fig_point(asp(shape = "circle")) %>% 
  axis_y(grid = NULL) %>% 
  axis_x(tickLine = NULL, line = NULL)