metis.chart: metis.chart
In JGCRI/metis: Multi-Scale Multi-Sector Analysis

This function produce different kinds of charts for the metis package. iIt requires a table in the Metis format. Each figure is accompanied with a csv table.

metis.chart(
  data,
  dataNorm = NULL,
  chartType = "bar",
  position = "stack",
  xData = "x",
  yData = "value",
  class = "class1",
  group = "scenario",
  classPalette = "classPalette1",
  classLabel = "classLabel1",
  color = NULL,
  xLabel = "xLabel",
  yLabel = "yLabel",
  facet_rows = NULL,
  facet_columns = NULL,
  ncolrow = 6,
  facetBGColor = "grey30",
  facetBorderColor = "black",
  facetLabelColor = "white",
  facetLabelSize = 24,
  scales = "fixed",
  useNewLabels = 0,
  units = "units",
  xBreaksMaj = 10,
  xBreaksMin = 5,
  yBreaksMajn = 5,
  yBreaksMinn = 10,
  sizeBarLines = 0.5,
  sizeLines = 1.5,
  yMax = NULL,
  yMin = NULL,
  sectorToOrder = NULL,
  sectorFromOrder = NULL,
  removeCols = NULL,
  bubbleSize = 10,
  sankeyAxis1 = NULL,
  sankeyAxis2 = NULL,
  sankeyAxis1Label = "axis1Label",
  sankeyAxis2Label = "axis2Label",
  sankeyGroupColor = NULL,
  printFig = T,
  fileName = "chart",
  title = NULL,
  dirOutputs = NULL,
  folderName = NULL,
  figWidth = 13,
  figHeight = 9,
  pdfpng = "png",
  sankeyLabelsOn = 1,
  xOrder = NULL,
  colOrder1 = NULL,
  colOrderName1 = NULL,
  colOrder2 = NULL,
  colOrderName2 = NULL,
  pointsOn = 1,
  pointsSize = 4,
  paletteRev = T,
  forceFacets = F,
  legendPosition = "right",
  theme_custom = NULL,
  panelBGcolor = NULL,
  plotBGcolor = "transparent",
  legendBGcolor = NULL
)

`data`	Data table for charting
`dataNorm`	Normalized data to plot under actual data in bubble plots. Default = NULL,
`chartType`	Type of chart: "bar", "line", "bubble", "sankey"
`position`	Position in bar charts. "identity", "stack" or "dodge"
`xData`	X axis data variable (dataframe or table column name). Default "x".
`yData`	Y axis data variable (dataframe or table column name).Default "value"
`class`	Class data variable (dataframe or table column name).Default "class1"
`group`	Group (dataframe or table column name).Default "scenario"
`classPalette`	Color palette to use for multiple classes. Must be a color palette eg. c("red","blue","green") or a metis.colors() palette eg. metis.colors()$pal_Basic. Default "classPalette1"
`classLabel`	Label to be used for legend title. Default "classLabel1"
`color`	A single color name for single class charts. Default NULL
`xLabel`	X axis title. Default "xLabel"
`yLabel`	Y axis title. Default "units"
`facet_rows`	Data variable to be used for facet rows (dataframe or table column name).Default "region"
`facet_columns`	Data variable to be used for facet columns (dataframe or table column name).Default "scenario"
`ncolrow`	Number of columns or Rows for Faceted plots.
`facetBGColor`	Facet background color. Default ="grey30",
`facetBorderColor`	Default = "black"
`facetLabelColor`	Facet title text color. Default= "white",
`facetLabelSize`	Facet title text size. Default =1.5,
`scales`	Fixed or free scales for multiple sankey plots. Default "fixed"
`useNewLabels`	"1" or "0". Converts labels to title-case.Default 0
`units`	Data units. Default "units"
`xBreaksMaj`	X axis major breaks. Default 10
`xBreaksMin`	X axis minor breaks. Default 5
`yBreaksMajn`	Y axis major breaks. Default 5
`yBreaksMinn`	Y axis minor breaks. Default 10
`sizeBarLines`	Bar plot line size. Default 0.5
`sizeLines`	Line plot line size. Default 1.5
`yMax`	Y axis max value
`yMin`	Y axis min value
`sectorToOrder`	Order of "to" column variables in bubble plots. Default = NULL,
`sectorFromOrder`	Order of "from" column variables in bubble plots. Default = NULL,
`removeCols`	Option to remove certain columns from bubble plots. Default = NULL,
`bubbleSize`	Bubble plot bubble size. Default = 10,
`sankeyAxis1`	Sankey axis 1 data variable (dataframe or table column name). Default = NULL,
`sankeyAxis2`	Sankey axis 2 data variable (dataframe or table column name).Default = NULL,
`sankeyAxis1Label`	Sankey axis 1 title data variable (dataframe or table column name).Default = "axis1Label",
`sankeyAxis2Label`	Sankey axis 2 title variable (dataframe or table column name).Default = "axis2Label",
`sankeyGroupColor`	Which axis variables will be used to color flow paths (One of the sankey axis). Default = NULL,
`printFig`	Whether plot should be printed or not. Default = T,
`fileName`	File name for plot to be saved. Default = "chart",
`title`	Figure title. Default = NULL
`dirOutputs`	Output directory to save figure. Default = paste(getwd(),"/outputs/Charts",sep Default = "")
`folderName`	Foldername within output directory. Default=NULL,
`figWidth`	Figure width. Default = 9,
`figHeight`	Figure height. Default = 7,
`pdfpng`	Whether to save plot as pdf or png. Choice between "pdf" or "png". Default = "png",
`sankeyLabelsOn`	Turn on labels for sankey stratum categories. "1" or "0". Default =1
`xOrder`	Default = NULL,
`colOrder1`	Order for sankey column 1. Default = NULL,
`colOrderName1`	Column name with sankey variables for column order 1. Default = NULL,
`colOrder2`	Order for sankey column 1. Default = NULL,
`colOrderName2`	Column name with sankey variables for column order 1. Default = NULL,
`pointsOn`	Include points on lines. Default = 1
`pointsSize`	ISize of points on line. Default = 4
`paletteRev`	Default =T
`forceFacets`	Default =F. When you have one facet only and want to show that.
`legendPosition`	Default ="right"
`theme_custom`	Default = NULL, "theme_gray","theme_bw","theme_linedraw","theme_light", "theme_minimal","theme_classic","theme_void","theme_dark"
`panelBGcolor`	Default = "white", Can also be "transparent"
`plotBGcolor`	Default = "transparent", Can also be "transparent"
`legendBGcolor`	Default = "white", Can also be "transparent"