| scale_power | R Documentation | 
Creates a continuous power scale, where input values are transformed with power_trans(exponent) before calculating the output.
Power scales can be useful in transforming positively skewed data. A square-root or cube-root scale can be helpful in dealing with right-skewed data.
A square-root scale can be defined with scale_power(exponent = 0.5, ...) (the default). A
square-root scale is a good choice for scaling the radius of point data, as this would result
in a linear scale for the area of each point.
scale_color_power(
  col,
  palette = scales::viridis_pal(),
  na_color = "#000000",
  exponent = 0.5,
  limits = NULL,
  breaks = NULL,
  n_ticks = 6,
  tick_format = format_number,
  col_label = "{.col}",
  legend = TRUE
)
scale_power(
  col,
  range = 0:1,
  na_value = 0,
  exponent = 0.5,
  limits = NULL,
  breaks = NULL,
  col_label = "{.col}",
  legend = TRUE
)
| col | < | 
| palette | < 
 A  | 
| na_color | < | 
| exponent | < | 
| limits | < | 
| breaks | < If not  
 Defaults to  | 
| n_ticks | < | 
| tick_format | < | 
| col_label | < 
 | 
| legend | < | 
| range | < | 
| na_value | < | 
Other scales: 
rescale_center(),
rescale_diverge(),
scale_category(),
scale_identity(),
scale_linear(),
scale_log(),
scale_quantile(),
scale_quantize(),
scale_symlog(),
scale_threshold()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.