Generate colour to depict the amount and quality of observations

Generate colour to depict the amount and quality of observations

Usage

QACol(amount, quality)

QCol(amount, quality)

QALegend(where = c(0.1, 0.3, 0.1, 0.3), n = 5, Col = QACol)

Arguments

amount

Numeric vector of values between 0 and 1, denoting the relative amount of information

quality

Numeric vector of values between -1 and 1, denoting the quality of observations, where 0 is neutral.

where

Location of legend, passed to par(fig = where)

n

Integer vector giving number of cells to plot in swatch for quality and amount.

Col

Function that takes vectors amount and quality and returns a vector of colours. QCol colours by data quality (concordance); QACol by quality and amount of information.

Value

QACol() returns an RGB hex code for a colour, where lighter colours correspond to entries with a higher amount; unsaturated colours denote a neutral quality; and red/cyan colours denote low/high quality.

QCol() returns an RGB hex code for a colour, where darker, unsaturated colours denote a neutral quality; and red/cyan colours denote low/high quality. amount is ignored.

See also

Other utility functions: ClusterStrings(), QuartetResolution(), WhenFirstHit()

Author

Martin R. Smith (martin.smith@durham.ac.uk)

Examples

amount <- runif(80, 0, 1)
quality <- runif(80, -1, 1)
plot(amount, quality, col = QACol(amount, quality), pch = 15)
abline(h = 0)