ggplot_bar_vts: Stacked bar plot with variable bar width

In michaja/quitte: Bits and pieces of code to use with quitte-style data frames

Description

ggplot_bar_vts() creates a bar plot with variable bar widths and is intended for plotting time series with variable time-step width.

Usage

ggplot_bar_vts(data, mapping = aes(x = period, y = value, fill = variable),
               ts = NULL, gaps = 0.1)

Arguments

data	a data frame
mapping	aes() mapping with aesthetics x, y, and fill
ts	data frame linking periods to time steps widths and positons; defaults to REMIND values
gaps	gaps between bars as a fraction of the lowest bar width; defaults 0.1 (* 5 years = 0.5 years)

Details

If ts is NULL, values for the use with REMIND data are used. If other values are needed, pass a data frame with the columns period (coinciding with the column assigned to the x aesthetic in data), .ts (containing the desired width of the bars), and .positon (containing the center point of the bars). Use further ggplot2 functions like scales, themes and facets as usual. Automatically splits positive and negative values for plotting above and below zero bars.

Value

a ggplot() like object

Author(s)

Michaja Pehl

Examples

require(dplyr)
require(tidyr)
require(ggplot2)
data.frame(period = c(seq(2005, 2060, by = 5), seq(2070, 2100, by = 10))) %>%
    mutate(linear = (period - 2005) / 10,
           logarithmic = log10(period - 2000),
           negative = -(logarithmic / (linear + 1))) %>%
    gather(variable, value, -period) %>%
    ggplot_bar_vts()

michaja/quitte documentation built on May 22, 2019, 9:53 p.m.