Continuous scale

cscale(x, palette, na.value = NA_real_, trans = identity_trans())

Arguments

x	vector of continuous values to scale
palette	palette to use. Built in palettes: `area_pal`, `brewer_pal`, `dichromat_pal`, `div_gradient_pal`, `gradient_n_pal`, `grey_pal`, `hue_pal`, `identity_pal`, `linetype_pal`, `manual_pal`, `rescale_pal`, `seq_gradient_pal`, `shape_pal`, `viridis_pal`
na.value	value to use for missing values
trans	transformation object describing the how to transform the raw data prior to scaling. Defaults to the identity transformation which leaves the data unchanged. Built in transformations: `asn_trans`, `atanh_trans`, `boxcox_trans`, `date_trans`, `exp_trans`, `hms_trans`, `identity_trans`, `log_trans`, `log10_trans`, `log1p_trans`, `log2_trans`, `logit_trans`, `modulus_trans`, `probability_trans`, `probit_trans`, `pseudo_log_trans`, `reciprocal_trans`, `reverse_trans`, `sqrt_trans`, `time_trans`, `yj_trans` .

Examples

with(mtcars, plot(disp, mpg, cex = cscale(hp, rescale_pal())))
with(mtcars, plot(disp, mpg, cex = cscale(hp, rescale_pal(),
  trans = sqrt_trans())))
with(mtcars, plot(disp, mpg, cex = cscale(hp, area_pal())))
with(mtcars, plot(disp, mpg, pch = 20, cex = 5,
  col = cscale(hp, seq_gradient_pal("grey80", "black"))))