plotIndDist: Static indicator distribution plots
In COINr: Composite Indicator Construction and Analysis

Description Usage Arguments Details Value Examples

Plots indicator distributions using box plots, dot plots, violin plots, violin-dot plots, and histograms. Supports plotting multiple indicators by calling aggregation groups.

plotIndDist(
  COINobj,
  dset = "Raw",
  icodes = NULL,
  aglev = 1,
  type = "Box",
  ntype = NULL,
  npara = NULL
)

`COINobj`	The COIN object, or a data frame of indicator data
`dset`	The source data set to use for indicator data (if input is COIN object)
`icodes`	A character vector of indicator names to plot. Defaults to all indicators.
`aglev`	The aggregation level to extract the indicator data from. Defaults to indicator level (1).
`type`	The type of plot. Currently supported `"Box"`, `"Dot"`, `"Violin"`, `"Violindot"`, `"Histogram"`.
`ntype`	The type of normalisation to apply. If `NULL`, no normalisation applied, otherwise specify using `ntype` options in `normalise()`.
`npara`	Optional parameters to pass to `normalise()` if normalisation required.

This function also optionally normalises indicators so they can be compared more easily side by side. For this purpose it calls normalise() - see ntype and npara arguments.

See COINr online documentation and getIn() for more information on accessing/plotting groups.

Plots generated with ggplot2. These can be edited further with ggplot2 commands.

# build ASEM COIN
ASEM <- assemble(IndData = ASEMIndData, IndMeta = ASEMIndMeta, AggMeta = ASEMAggMeta)
# plot indicators in Physical pillar
plotIndDist(ASEM, type = "Box", dset = "Raw", icodes = "Physical")