stat_occurrence: Plots a time series as a dot plot

In Ather-Energy/ggTimeSeries: Time Series Visualisations Using the Grammar of Graphics

Description

Plots a time series as a dot plot

Usage

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

Arguments

mapping	mapping
data	df
show.legend	logical
inherit.aes	logical
na.rm	logical
bandwidth	bandwidth
...	more functions For rare events, it's convenient to have the count of events encoded in the chart itself. A bar chart requires the user to perceive the y axis which this does not.

Aesthetics

x, y

Cosmetic Tips

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.y = element_blank(), axis.ticks.y = element_blank(), legend.position = 'none', strip.background = element_blank(), panel.background = element_blank(), panel.border = element_blank(), panel.grid = element_blank(), panel.border = element_blank() ) + coord_fixed(ylim = c(0,1 + max(dfData$y))) coord_fixed can provide a balance to the aspect ratio of the chart.

Examples

{
library(data.table)
library(ggplot2)
set.seed(1)
dfData = data.table(x = 1:100, y = floor(4 * abs(rnorm(100, 0 , 0.4))))
ggplot(dfData, aes(x =x, y = y) )+
   stat_occurrence()+
   coord_fixed()}

Ather-Energy/ggTimeSeries documentation built on June 22, 2019, 2:55 a.m.