mice (version 2.7)

mdc: Graphical parameter for missing data plots.

Description

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.

Usage

mdc(r="observed", s="symbol", transparent=TRUE,
   cso = ifelse(transparent, hcl(240,100,40,0.7), hcl(240,100,40,1)),
   csi = ifelse(transparent, hcl(0,100,40,0.7), hcl(0,100,40,1)),
   csc = ifelse(transparent, "gray40", "black"),
   clo = ifelse(transparent, hcl(240,100,40,0.8), hcl(240,100,40,1)),
   cli = ifelse(transparent, hcl(0,100,40,0.8), hcl(0,100,40,1)),
   clc = ifelse(transparent, "gray40", "black"))
mice.theme()

Arguments

r

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

s

A character vector containing the strings "symbol" or "line", or abbreviations thereof.

transparent

A logical indicating whether alpha-transparancy is allowed. The default is TRUE.

cso

The symbol color for the observed data. The default is a transparent blue.

csi

The symbol color for the missing or imputed data. The default is a transparent red.

csc

The symbol color for the combined observed and imputed data. The default is a grey color.

clo

The line color for the observed data. The default is a slightly darker transparent blue.

cli

The line color for the missing or imputed data. The default is a slightly darker transparent red.

clc

The line color for the combined observed and imputed data. The default is a grey color.

Value

• 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. mice.theme return a named list that can be used as a theme in the functions in lattice.

Details

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.

References

Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/

See Also

hcl, rgb, xyplot.mids, xyplot, trellis.par.set

Examples

# all six colors
mdc(1:6)

# lines color for observed and missing data
mdc(c("obs","mis"), "lin")