These functions modify things like labels, limits, scales, etc. for plots ggplot2 plots. They are wrappers around functions in ggplot2 that allow for chaining syntax.

gf_labs(object, ...)

gf_lims(object, ...)

gf_refine(object, ...)

Arguments

object

a gg object

...

additional arguments passed through to the similarly named function in ggplot2.

Value

a modified gg object

Details

gf_refine() provides a mechanism to replace + with the chaining operator from magrittr. Each of its \dots arguments is added in turn to the base plot in object. The other functions are thin wrappers around specific ggplot2 refinement functions and pass their \dots arguments through to the similarly named ggplot2 functions.

Examples

gf_dens(~cesd, color = ~substance, size = 1.5, data = mosaicData::HELPrct) %>%
  gf_labs(
    title = "Center for Epidemiologic Studies Depression measure",
    subtitle = "(at baseline)",
    color = "Abused substance: ",
    x = "CESD score",
    y = "",
    caption = "Source: HELPrct"
  ) %>%
  gf_theme(theme_classic()) %>%
  gf_theme(
    axis.text.y = element_blank(),
    legend.position = "top",
    plot.title = element_text(hjust = 0.5, color = "navy"),
    plot.subtitle = element_text(hjust = 0.5, color = "navy", size = 12)
  )


gf_point(eruptions ~ waiting, data = faithful, alpha = 0.5)

gf_point(eruptions ~ waiting, data = faithful, alpha = 0.5) %>%
  gf_lims(x = c(65, NA), y = c(3, NA))
#> Warning: Removed 99 rows containing missing values (geom_point).


# modify scales using gf_refine()
data(penguins, package = "palmerpenguins")
gf_jitter(bill_length_mm ~ bill_depth_mm, color = ~species, data = penguins) %>%
  gf_refine(scale_color_brewer(type = "qual", palette = 3)) %>%
  gf_theme(theme_bw())
#> Warning: Removed 2 rows containing missing values (geom_point).


gf_jitter(bill_length_mm ~ bill_depth_mm, color = ~species, data = penguins) %>%
  gf_refine(scale_color_manual(values = c("red", "navy", "limegreen"))) %>%
  gf_theme(theme_bw())
#> Warning: Removed 2 rows containing missing values (geom_point).