mdc returns colors used to distinguish observed, missing and combined
data in plotting. mice.theme return a partial list of named objects
that can be used as a theme in stripplot, bwplot,
densityplot and xyplot.
mdc(
r = "observed",
s = "symbol",
transparent = TRUE,
cso = grDevices::hcl(240, 100, 40, 0.7),
csi = grDevices::hcl(0, 100, 40, 0.7),
csc = "gray50",
clo = grDevices::hcl(240, 100, 40, 0.8),
cli = grDevices::hcl(0, 100, 40, 0.8),
clc = "gray50"
)A numerical or character vector. The numbers 1-6 request colors as
follows: 1=cso, 2=csi, 3=csc, 4=clo, 5=cli
and 6=clc. Alternatively, r may contain the strings
'observed', 'missing', or 'both', or abbreviations
thereof.
A character vector containing the strings 'symbol' or
'line', or abbreviations thereof.
A logical indicating whether alpha-transparency is
allowed. The default is TRUE.
The symbol color for the observed data. The default is a transparent blue.
The symbol color for the missing or imputed data. The default is a transparent red.
The symbol color for the combined observed and imputed data. The default is a grey color.
The line color for the observed data. The default is a slightly darker transparent blue.
The line color for the missing or imputed data. The default is a slightly darker transparent red.
The line color for the combined observed and imputed data. The default is a grey color.
mdc() returns a vector containing color definitions. The length
of the output vector is calculate from the length of r and s.
Elements of the input vectors are repeated if needed.
This function eases consistent use of colors in plots. The default follows the Abayomi convention, which uses blue for observed data, red for missing or imputed data, and black for combined data.
Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer.
# NOT RUN {
# all six colors
mdc(1:6)
# lines color for observed and missing data
mdc(c('obs','mis'), 'lin')
# }
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