library(g2r)
The gauge_*
family of functions is similar to scale_*
though there are some stark differences in places.
See motif vignette for examples of built-in color palettes.
You can gauge aspects specific aspects, just like in ggplot2.
library(g2r) g2(cars, asp(speed, dist, color = dist)) %>% fig_point(asp(shape = "circle")) %>% gauge_color(c("#FDE725", "#21908C", "#440154"))
g2(iris, asp(Sepal.Length, Sepal.Width, color = Species)) %>% fig_point(asp(shape = Species), stroke = 0) %>% gauge_shape(c("triangle", "circle", "square"))
You can also pass a JavaScript function to the gauge. The function must be wrapped in htmlwidgets::JS
, the function must accept as argument the aspect variable used.
callback <- htmlwidgets::JS( "function(dist){ if(dist > 50) return 'green'; return 'red'; }" ) g2(cars, asp(speed, dist, color = dist)) %>% fig_point(asp(shape = "circle")) %>% gauge_color(callback) %>% legend_color(FALSE)
To use a variable as gauge (e.g.: size, or color) and hide the legend pass a boolean to the appropriate legend_*
function.
g2(cars, asp(speed, dist, size = dist)) %>% fig_point() %>% legend_size(FALSE)
Defaults:
By default g2r defines two options for the axis used in the chart.
One can also gauge the x and y axis.
g2(cars, asp(speed, dist)) %>% fig_point() %>% fig_smooth(method = "polynomial") %>% gauge_y_log()
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