scale_predictor_: Scales for predictor sets.

In mbadge/hipsMultimodal: Analysis of MSH Hip Data

Description

Scales for predictor sets.

Usage

scale_predictor_(aesthetic, title = "Explanatory Variables",
  values = AES_PREDICTOR_PALETTE, labels = AES_PREDICTOR_LABELS)

scale_predictor(aesthetic, ...)

See Also

Other gg_aes: PrettyPredictors, PrettyTargets, facet_cnn, gg_x_target, scale_color_cnn, scale_color_cohort, scale_color_device, scale_color_fx, scale_color_targetMode, scale_color_target, scale_color_view, scale_fill_sex, scale_x_cohort, scale_x_target

Examples

vizR::pal_col(AES_PREDICTOR_PALETTE)
predictor_df <- data.frame(x = seq_along(AES_PREDICTOR_LABELS),
  data_value = names(AES_PREDICTOR_LABELS),
  pretty_value = unname(AES_PREDICTOR_LABELS))
ggplot(predictor_df, aes(x=x, fill=data_value)) +
  geom_bar() +
  scale_predictor_("fill")
ggplot(predictor_df, aes(x=x, col=data_value)) +
  geom_bar(fill="white") +
  scale_predictor_("color")
ggplot(predictor_df, aes(x=x, fill=data_value)) +
  geom_bar() +
  scale_predictor(fill)
ggplot(predictor_df, aes(x=x, col=data_value)) +
  geom_bar(fill="white") +
  scale_predictor(color)

mbadge/hipsMultimodal documentation built on May 9, 2019, 12:05 a.m.