kayadata (version 1.4.0)

plot_kaya: Plot Kaya-identity variable

Description

Plot Kaya-identity variable

Usage

plot_kaya(
  data,
  variable,
  start_year = NA,
  stop_year = NA,
  y_lab = NULL,
  log_scale = FALSE,
  trend_line = FALSE,
  points = TRUE,
  font_size = 20,
  colors = NULL,
  pre_color = NULL,
  post_color = NULL,
  in_range_color = NULL,
  trend_color = NULL,
  line_sizes = NULL,
  pre_line_size = NULL,
  post_line_size = NULL,
  in_range_line_size = NULL,
  trend_line_size = NULL,
  point_sizes = NULL,
  pre_point_size = NULL,
  post_point_size = NULL,
  in_range_point_size = NULL
)

Value

A plot object.

Arguments

data

A tibble with Kaya-identity data or the name of a region or a region code.

variable

The name of the variable to plot (character)

start_year

The year to start highlighting the data (should correspond to the beginning of the trend calculation). Set to NULL to turn off highlighting.

stop_year

The year to stop highlighting the data (should correspond to the beginning of the trend calculation). Set to NULL to turn off highlighting.

y_lab

Optional label for the y-axis

log_scale

Use log scale for y axis

trend_line

Include a trend line

points

Plot points in addition to the line.

font_size

Base size of the font for axis labels and titles.

colors

Named vector of colors to use for the plot. Elements should include PRE, POST, IN-RANGE, and TREND, which respectively give the colors for the portion of the plot before start_year, after stop_year, between start_year and stop_year, and the trend line.

pre_color

Override default color for the portion of the chart before start_year.

post_color

Override default color for the portion of the chart after stop_year.

in_range_color

Override default color for the portion of the chart between start_year and stop_year.

trend_color

Override default color for the trend line.

line_sizes

Named vector of sizes to use for the lines in the plot. Elements should include PRE, POST, IN-RANGE, and TREND, which respectively give the sizes for lines in the portion of the plot before start_year, after stop_year, between start_year and stop_year, and the trend line.

pre_line_size

Override default line size for the portion of the chart before start_year.

post_line_size

Override default line size for the portion of the chart after stop_year.

in_range_line_size

Override default line size for the portion of the chart between start_year and stop_year.

trend_line_size

Override default size for the trend line.

point_sizes

Named vector of sizes to use for the points in the plot. Elements should include PRE, POST, and IN-RANGE, which respectively give the sizes for points in the portion of the plot before start_year, after stop_year, and between start_year and stop_year.

pre_point_size

Override default point size for the portion of the chart before start_year.

post_point_size

Override default point size for the portion of the chart after stop_year.

in_range_point_size

Override default point size for the portion of the chart between start_year and stop_year.

Examples

china <- get_kaya_data("China")
plot_kaya(china, "F", 2001, 2011)
if (FALSE) {
uk <- get_kaya_data("United Kingdom")
plot_kaya(uk, "e", log_scale = TRUE, trend_line = TRUE)
plot_kaya(uk, "e", log_scale = TRUE, trend_line = TRUE,
          start_year = 1970, stop_year = 2000,
          colors = c(PRE="limegreen", POST="darkgreen",
                     "IN-RANGE" = "cadetblue", TREND="orange"),
          line_sizes = c(PRE=0.5, POST=0.5, "IN-RANGE"=1, TREND=1.5),
          point_sizes = c(PRE=2, POST=2, "IN-RANGE"=3))
plot_kaya(uk, "e", log_scale = TRUE, trend_line = TRUE,
          start_year = 1970, stop_year = 2000,
          pre_color = "limegreen", post_color = "limegreen",
          trend_color = "magenta",
          pre_line_size = 0.5, post_line_size = 0.5,
          trend_line_size = 1.5,
          pre_point_size = 2, post_point_size = 2, in_range_point_size = 3)
plot_kaya("United Kingdom")
plot_kaya("GBR")
}

world <- get_kaya_data("World")
plot_kaya(world, "g", 1982, log_scale = TRUE, trend_line = TRUE)