GGPLOT - scale_colour_continuous

Uses when continuous data values are mapped onto the colour or fill aesthetics and then convert them with ggplotly.

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()

plotly::ggplotly(v)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
p <-  v + scale_fill_continuous(type = "gradient")

plotly::ggplotly(p)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
p <-  v + scale_fill_continuous(type = "viridis")

plotly::ggplotly(p)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
p <-  v + scale_fill_gradient()

plotly::ggplotly(p)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
p <-  v + scale_fill_viridis_c()

plotly::ggplotly(p)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
p <-  v + scale_fill_binned(type = "viridis")

plotly::ggplotly(p)

• Plot
• SSIM

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
geom_tile()
tmp <- getOption("ggplot2.continuous.fill") # store current setting
options(ggplot2.continuous.fill = scale_fill_distiller)
p <-  v
options(ggplot2.continuous.fill = tmp) # restore previous setting

plotly::ggplotly(p)

• Plot
• SSIM