mipplot_point {mipplot}

Point plot from IAMC data

Description

The function arguments include the input dataframe, labels for the plot/axes/legend, and faceting dimensions

Usage

mipplot_point(
  D,
  region = levels(D$region),
  variable = levels(D$variable),
  target_year = levels(as.factor(D$period)),
  colorby = "model",
  shapeby = "model",
  xby = "scenario",
  facetby = NULL,
  facet_x = NULL,
  facet_y = NULL,
  fontsize = 20,
  PRINT_OUT = FALSE,
  DEBUG = TRUE
)

Arguments

D

A dataframe of IAMC data in tibble format to produce plots.

region

A list of regions.

variable

A list of variables.

target_year

A list of target years.

colorby

An axis for color setting.

shapeby

An axis for shape setting.

xby

An axis for x locating setting.

facetby

facetby.

facet_x

facet_x.

facet_y

facet_y.

fontsize

font size.

PRINT_OUT

set TRUE to generate PDF image.

DEBUG

set TRUE to show debug messages.

Value

A list of point plots.

Examples

library(dplyr)
data_subset <- ar5_db_sample_data %>%
filter(variable == "Emissions|CO2|Land Use") %>%
filter(model %in% c("AIM-Enduse 12.1", "GCAM 3.0", "IMAGE 2.4")) %>%
filter(period == 2100) %>% filter(region == "OECD90")
mipplot_point(data_subset)