stat_horizon: Plot a time series as a horizon plot
In ggTimeSeries: Time Series Visualisations Using the Grammar of Graphics

Description Usage Arguments Aesthetics Other parameters Cosmetic Tips Also See Examples

Plot a time series as a horizon plot

1 2	stat_horizon(mapping = NULL, data = NULL, show.legend = NA, inherit.aes = TRUE, na.rm = T, bandwidth = NULL, ...)

`mapping`	mapping
`data`	dataframe
`show.legend`	logical
`inherit.aes`	logical
`na.rm`	logical
`bandwidth`	bandwith
`...`	other functions A horizon plot breaks the Y dimension down using colours. This is useful when visualising y values spanning a vast range and / or trying to highlight outliers without losing context of the rest of the data. Horizon plots are best viewed in an apsect ratio of very low vertical length.

x, y, fill. Fill argument is overridden internally but is required for ggplot to assign a colour / fill scale.

bandwidth, to dictate the span of a band.

The minimalist look can be achieved by appending the following chunk of code to the output object: + xlab(NULL) + ylab(NULL) + scale_fill_continuous(low = 'green', high = 'red') + theme( axis.text = element_blank(), axis.ticks = element_blank(), legend.position = 'none', strip.background = element_blank(), # strip.text = element_blank(), # useful if only one year of data plot.background = element_blank(), panel.border = element_blank(), panel.background = element_blank(), panel.grid = element_blank(), panel.border = element_blank() )

ggplot_horizon, a more polished but less flexible alternative.

{
library(ggplot2)
ggplot(data.frame(x = 1:89, y = as.numeric(unlist(austres))), aes(x =x, y = y, fill = y) )+
   stat_horizon() +
   scale_fill_continuous(low = 'white', high = 'red')

set.seed(10)
ggplot(data.frame(x = 1:1000, y = cumsum(rnorm(1000))), aes(x =x, y = y, fill = y) )+
   stat_horizon() +
   scale_fill_continuous(low = 'white', high = 'red')}