Create a customized VPC theme
Create a customized VPC theme
new_vpc_theme(update = NULL)
update |
list containing the plot elements to be updated. Run 'new_vpc_theme()' with no arguments to show an overview of available plot elements. |
This function creates a theme that customizes how the VPC looks, i.e. colors, fills, transparencies, linetypes an sizes, etc. The following arguments can be specified in the input list:
obs_color: color for observations points
obs_size: size for observation points
obs_median_color: color for median observation line
obs_median_linetype: linetype for median observation line
obs_median_size: size for median observation line
obs_ci_fill: color for observation CI fill
obs_ci_color: color for observation CI lines
obs_ci_linetype: linetype for observation CI lines
obs_ci_size: size for observations CI lines
sim_pi_fill: fill color for simulated prediction interval areas
sim_pi_alpha: transparency for simulated prediction interval areas
sim_pi_color: color for simulated prediction interval lines
sim_pi_linetype: linetype for simulated prediction interval lines
sim_pi_size: size for simulated prediction interval lines
sim_median_fill: fill color for simulated median area
sim_median_alpha: transparency for simulated median area
sim_median_color: color for simulated median line
sim_median_linetype: linetype for simulated median line
sim_median_size: size for simulated median line
bin_separators_color: color for bin separator lines, NA for don't plot
bin_separators_location: where to plot bin separators ("t" for top, "b" for bottom)
loq_color: color of line showing limit of quantification
A list with vpc theme specifiers
theme1 <- new_vpc_theme(update = list( obs_color = "red", obs_ci_color = "#aa0000", obs_alpha = .3, sim_pi_fill = "#cc8833", sim_pi_size = 2 )) vpc(simple_data$sim, simple_data$obs, vpc_theme = theme1)
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