mice (version 2.14)

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 = hcl(240,100,40,0.7),
   csi = hcl(0,100,40,0.7),
   csc = "gray50",
   clo = hcl(240,100,40,0.8),
   cli = hcl(0,100,40,0.8), 
   clc = "gray50")
mice.theme(transparent=TRUE, alpha.fill=0.3)

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.

alpha.fill

A numerical values between 0 and 1 that indicates the default alpha value for fills.

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. By default, the mice.theme() function sets transparent <- TRUE if the current device .Device supports semi-transparent colors.

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")